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mooreoliver · 6 years ago

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Name the top test automation tools of the decade

With quality becoming the cornerstone for businesses to succeed in the competitive IT landscape, technologies and paradigms like Agile and DevOps have taken centre stage. Since test automation is an important facet of these developments, businesses need to adopt the right test automation tools to deliver outcomes like customer satisfaction, continuous integration and delivery, improved productivity, ‘quality at speed’, cost-effectiveness, and ROI. Test automation today encompasses the usage of Artificial Intelligence and Machine Learning to optimize testing and generate a robust reporting mechanism, among others. Since test automation services make use of advanced tools to identify and remove glitches in the SDLC, it is better to analyze them and understand how they have shaped ‘testing’ in the past decade.

The use of test automation tools in consonance with smart analytics helps in quickening the decision-making process and validating the codes. This has been necessitated due to the preponderance of smart devices and integrated apps. So, let us learn about the top software test automation tools that can help businesses in positioning themselves with the latest trends in software testing. However, before analyzing the tools, let us first understand their benefits.

Diagnose and fix glitches quickly before they can impact the UX

Prevent bad software releases with automated regression tests

Less time spent on maintaining tests as the latter get repaired automatically with every UI change

Top test automation tools of the decade

The decade has seen the advent and evolution of the automation testing approach as an important factor in redefining QA. The various tools help businesses in achieving the objectives of their test automation strategy.

1. Selenium: Selenium is the most popular open-source automation tool that has become the industry standard when it comes to software test automation of web applications. It offers flexibility with testers writing test scripts in multiple languages like Java, Python, C#, Ruby, PHP, and PERL. These scripts are capable of running on multiple operating systems such as Windows, Mac, and Linux as well as on browsers like Chrome, IE, Safari, Opera, Firefox, and others. The only disadvantage of Selenium is the need for testers to have advanced programming knowledge and building libraries and automation frameworks. One can access this automation tool at http://www.seleniumhq.org.

2. Lambda Test: This cloud-based, cross-browsing testing tool can be used to perform QA across numerous browsers and operating systems in varying screen resolutions. Test automation services can use the Lambda test tool to validate the compatibility of a website across mobile and desktop browsers. The tool can produce faster test screenshots and check responsiveness across devices. One can access the tool at https://www.lambdatest.com/?fp_ref=sumasri92.

3. Katalon Studio: This tool has emerged as one of the popular and effective test automation solutions supporting multiple operating platforms like Windows, Linux, and iOS. With support for Selenium and Appium engines, the tool offers an integrated test environment comprising features to validate API/web services, and web and mobile applications. It has scores of built-in keywords to create test cases and is suitable for exploratory and automated testing. The test capability of the tool can be further enhanced by using plugins on Katalon Store. One can access the tool at http://www.katalon.com.

4. TestComplete: This powerful automation tool has comprehensive features to test web, mobile, and desktop applications. Here, testers can write scripts using programming languages like Python, C++, JavaScript, and VBScript. Its object recognition engine can identify frequently changing user interface elements. Its integration with Jenkins helps to test components like Shadow DOM and other custom elements. Its easy-to-use record and playback feature helps testers to identify glitches on multiple devices and browser platforms. It is a paid tool to be accessed at https://smartbear.com/product/testcomplete/overview.

5. Zephyr: This popular test management tool offers end-to-end automated software testing solutions comprising attributes such as better flexibility, insights, and visibility. Its key features include quick deployment options for cloud, data centre, and server. Besides, it offers advanced analytics, a DevOps-based reporting dashboard, and integration with automation servers like Jenkins, Jira, Confluence, Bamboo, and others.

Conclusion

The decade has seen QA take centre stage in response to a growing customer appetite for quality and high-performance software. Even though the above-mentioned list is not exhaustive, it comprises tools that are popular, mature, capable, and feature-rich to deliver DevOps outcomes like Continuous Integration and Delivery, quality at speed, and customer delight.

Author Bio

Oliver has been associated with Cigniti Technologies Ltd as an Associate Manager - Content Marketing, with over 10 years of industry experience as a Content Writer in Software Testing & Quality Assurance industry. Cigniti is a Global Leader in Independent Quality Engineering & Software Testing Services with CMMI-SVC v1.3, Maturity Level 5.

#automated software testing #Test automation tools #Test automation services #software test automation #automation testing approach #test automation solutions

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diyatestingupdates-blog · 6 years ago

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Best Test Automation Solutions for Optimizing Processes in 2019

The need to deliver superior-quality software applications within short turnarounds is driving organizations to look for solutions in DevOps and Agile methodologies. Adopting these methodologies entails implementing software test automation. The primary objective of automation has been reorganized from being focused on minimizing the testing time to the efficient use of test cases. Test automation services cannot be implemented without the use of better tools, for these demonstrate how automation in testing is executed seamlessly.

However, one of the key challenges in implementing software test automation in the software development projects lies in choosing the right test automation framework or tool. It is a complex decision as there are multiple tools to select from and several parameters to satisfy. Furthermore, the present trends in test automation show increasing adoption of Artificial Intelligence and Machine Learning (AI/ML) to provide advanced capabilities for test generation, test optimization, execution, and reporting. The three most important criteria for selecting an automation tool include -

· Has analytic capabilities

· Incorporates AI/ML features

· Popularity in the market

· Assisting the APIs

· Customization ability

Types of automation tools

Let us discuss the types of automation tools that organizations employ to enhance the quality of their products or services.

1. Selenium WebDriver:

Selenium is the leading regression test automation solutions tool for browser-based testing. According to various surveys, most test automation experts utilize Selenium in their software delivery projects. For testers and developers, Selenium provides the much-needed flexibility that is often found to be missing in other test automation frameworks. Here, users can generate various test scripts in multiple languages (such as Python, C#, Ruby, Java, PHP, and Perl) and the tool is compatible with several system environments (Windows, Linux, and Mac) and browsers (Chrome, IE, and Firefox).

Selenium offers record as well as playback options to write tests. In April 2019, Selenium had released its latest and first alpha version. Even though the official version is yet to be announced, the release contains augmented features and improved functionality. Selenium supports some of the largest and established browser vendors and comes as a native participant in them.

2. Appium:

Appium is an open-source QA automated testing tool mainly intended for mobile applications. It backs the automation of hybrid, native and mobile applications developed for iOS and Andriod platforms. This tool is based on server architecture and utilizes the vendor provided test automation framework. It is easy to use and has a simple set up process. At present, Appium has achieved huge popularity and appears as one of the most sought-after mobile automation testing tools. It helps to automate any type of mobile app using different languages and test frameworks. Appium does not require recompiling of the app or SDK.

3. Watir:

Watir, pronounced as "water", is dependent on Ruby libraries to automate web browsers. The Ruby language facilitates the export of XML functionalities and connection to databases, files, and other structures. Since it is an open-source library, it offers the required flexibility needed for automation. It helps to conduct cross-browser testing involving browsers such as Firefox, Opera, and IE by incorporating BDD-based tools like Rsoec, Test/Unit, and Cucumber. Watir facilitates integration of various tools and systems to achieve the testing objectives in a DevOps environment.

4. Cucumber:

Cucumber is a behaviour-driven-development (BDD) based automation testing tool. It offers a striking list of users including Canon and Paypal. It assists various languages like Java, Groovy, Ruby, Scala, and many others. However, the tool only assists the web environment and has been built with the philosophy of offering an augmented user experience. The versatile features of Cucumber include codes that can be executed in multiple frameworks such as Selenium. Moreover, the codes are written in Gherkin, which follows the simple English language.

5. Katalon Studio:

Katalon Studio offers an open-source solution comprising multiple features that are only found in paid tools such as Record and Playback, Object Spy, Object Map, Reporting, and so on. It is used to develop automated tests for mobile apps, web, and APIs. It simplifies web, API, and automation tests by working on top of Appium and Selenium. The stability, popularity, and robustness of Katalon Studio can be gathered from the fact that the tool got recognized in March 2019 as Gartner peer insights customer's choice in the test automation market.

Conclusion

With user experience driving the strategies for developing software applications, the use of automation testing tools has become mandatory. By using these, enterprises can ensure all the products or services are delivered without any glitches. The automation tools to be chosen by testers would entirely depend on the testing team, their programming skills, project budget, application type, and project requirements.

Diya works for Cigniti Technologies, Global Leaders in Independent Quality Engineering & Software Testing Services to be appraised at CMMI-SVC v1.3, Maturity Level 5, and is also ISO 9001:2015 & ISO 27001:2013 certified.

#test automation solutions #test automation services #test automation framework #automation testing #QA Automated Testing #automation in testing #automated software testing #automation testing approach #Software test Automation #automated Testing Strategy #test automation experts

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expertcertifiers · 5 years ago

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The Capability Maturity Model Integration (CMMI)- USA

New Post has been published on https://www.expertcertifier.com/the-capability-maturity-model-integration-cmmi-usa/

The Capability Maturity Model Integration (CMMI)- USA

ExpertCertifier is a channel for business and process excellence, your business and process excellence is guaranteed through CMMi certification with ExpertCertifier “

Up your sales results , talk to our ExpertCertifier masters who are available for you to coach and on how to get your business and process certified with CMMi, other services that we offer is ISO 9001, ISO 14001, ISO 45001,ISO 22000,ISO 27001,ISO 20000-1 and HACCP.

What is CMMI Certification?

The Capability Maturity Model Integration, or CMMI, is a process model that gives a transparent definition of what a corporation should do to market behaviors that cause improved performance. With five “Maturity Levels” or three “Capability Levels,” the CMMI defines the foremost important elements that are required to create great products, or deliver great services, and wraps all of them up during a comprehensive model.The CMMI certification in USA also helps us to identify and achieve measurable business goals, build better products, keep customers happier, and make sure that we are working as efficiently as possible.

CMMI certification in USA is comprised of a group of “Process Areas.” Each Process Area is meant to be adapted to the culture and behaviors of your own company.

Organizations are often “Rated” at a Capability or Maturity Level supported over 300 discreet “Specific” and “Generic” Practices. Intended to be broadly interpreted, the CMMI isn’t a “Standard”, so achieving a “Level” of CMMI isn’t a certification, but a “rating.”

Background:

The CMMI was developed at the Software Engineering Institute at Carnegie Mellon University with representation from defence, industry, government, and academia, and is now operated and maintained by the CMMI Institute, an operating unit of CMU. It’s the successor of the favoured Software CMM, or SW-CMM. They are multiple “flavours” of the CMMI, called “Constellations,” that include CMMI for Development (CMMI-DEV), CMMI for Services (CMMI-SVC), and CMMI for Acquisition (CMMI-ACQ). The three Constellations share a core set of sixteen Process Areas. There’s also a “People CMM,” or P-CMM, that exists outside of the three CMMI Constellations.

CMMI-DEV commands the most important market share, followed by CMMI-SVC, then CMMI-ACQ.

CMMI Appraisals:

The Standard CMMI Appraisal Method for Process Improvement (SCAMPI) is the appraisal method that’s employed by a licensed SCAMPI Lead Appraiser to assist your team “achieve A level.” There are three differing types of appraisals, called “Classes” and that they are SCAMPI A, SCAMPI B, or SCAMPI C. The SCAMPI A is the only appraisal method that leads to a Maturity or Capability Level Rating. A SCAMPI C is usually used as an analysis and data collection tool, and therefore the SCAMPI B is usually employed as a User Acceptance or “test” appraisal. The results of a SCAMPI A Appraisal are published on the CMMI Institute Website referred to as “PARS” and is out there for viewing by the general public. Only a licensed SCAMPI Lead Appraiser can conduct a SCAMPI A Appraisal.

CMMI Architecture:

The CMMI for Development has twenty-two process areas, and therefore the CMMI in USA for Services has twenty-four. The CMMI are often utilized in either the “staged” or “continuous” representation. The staged representation, which groups process areas into five “maturity levels,” and is the common choice, but a corporation also, can pick and choose the method areas that make the foremost sense for them to figure on by using the “continuous representation.”

There is no difference in content between these two representations. When choosing “Staged” a corporation follows a pre-defined pattern of process areas that are organized by “Maturity Level.” When choosing continuous, they pick process areas and support their interest in improving specific areas. Within the Continuous representation, Process Areas are organized by “Category.”

Within the method Areas in the CMMI, there are multiple “Specific Goals (SGs)” and Specific Practices (SPs).” These practices define the expected behaviors of projects and organizations.

There also are twelve “Generic Practices (GPs)” that provide guidance for organizational excellence including behaviours like setting expectations, training, measuring quality, monitoring process performance, and evaluating compliance.

Organizational Progression of CMMI certification:

While every organization is different, it’s typical to start out your CMMI and performance improvement journey with an analysis, or “SCAMPI C” Appraisal. The SCAMPI C will offer you a practice-by-practice analysis of the whole scope of CMMI, and a group of observations and proposals for addressing any weaknesses.

This is often followed by “Introduction to CMMI” training, or other training for key individuals, followed by some level of effort to write down , modify, align, adopt, or remove process assets. These organizational assets may include process definitions, templates, work instructions, newsletters, reports, training, policies, methods, tools, and more.

When your team is prepared to proceed, one or more formal appraisals are conducted – ultimately culminating during a “SCAMPI A” Appraisal and a successful CMMI Rating. You need to treat process improvement as a project. Establish the business reasons and therefore the business goals.

The Different Maturity Levels are:

Level 1-Initial- unplanned, chaotic Reliance on individual

Level 2-Managed- Processes established at the project level Predictable

Level 3-Defined -Processes established at the org level

Level 4-Quantitatively Managed- Organization and projects measured and controlled.

Level 5-Optimizing- specialise in continuous, systemic improvement

Why Expert Certifier?

Our consultants at Expert Certifier are leaders in their respective fields and function coaches, facilitators, and trusted advisors to our clients. Our focus and commitment is to drive the CMMI program to a successful conclusion, working with the organization as an extended arm on a scheduled basis to incrementally put your organisation on the trail to achieving CMMI in USA. We help organisations institutionalize the CMMI practices by providing:

Base-lining of Appraisal Objectives with Appraisal Sponsor

Mapping of Appraisal Objectives with Organizational Objectives

Determination of Focus Projects (Representation Sampling)

Process Gap Identification & Analysis

Appraisal Team Formation and Training

Process Implementation

Internal Audits to watch implementation

Appraisal Facilitation

How to get CMMI certification?

Our masters have more than 15 plus years of global experience, with hands-on experience in the field of CMMI certification, appraisal and training.

With ExpertCertifier your Business and process excellence is guaranteed.Consultation in USA.

Reach us at: [email protected]

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stenalferd-blog · 6 years ago

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10 Top Python Web Development Companies in India & United States

Original Source- Hackernoon

Python Programming language goes way back in the 1980s when it was first conceived by Guido Van Rossum. The design of Python was influenced majorly by ABC programming language, which was also something that Guido was working on before he developed Python. Python supports multiple programming paradigms and is often referred to as a “Batteries included” language as it has a comprehensive library. According to

Ubuntu Pit

, it ranks 2nd in the list of best programming languages. Python is free to use and is an open-source programming language that was designed to be highly extensible. It’s a cross-platform language that can run on popular operating systems like Windows, Mac, Linux, Unix, etc. Not just that, it has some of the advanced features because of which Python development companies are in great demand today.

In this blog, I am going to mention top Python web development companies in India and United States. These companies have been shortlisted based on below mentioned parameters:

Google & yahoo organic ranking

Client reviews from rating agencies: Clutch & Goodfirms

Client testimonials

Online reputation and client feedback of the company

Cumulative annual growth rate of company

Here is the list of top Python web development companies:

Rank 1: Resourcifi

Rank 2: RnF

Rank 3: Fusion Informatics

Rank 4: PixelCrayons

Rank 5: Mobiloitte

Rank 6: Paragyte

Rank 7: Mindbowser

Rank 8: Arkenea

Rank 9: SAG IPL

Rank 10: ValueCoders

Let's discuss these Python web development companies in detail:

Resourcifi

What’s going to blow you away about this company is the prices for the kind of services they offer. Not just the testimonials of their clients, but the variety of

python web developers

they have for custom web development is just phenomenal, not to mention they have some of the most proficient Python coders in the industry. It’s a US based company that has offices in the USA as well as in India.Another great thing about hiring Python engineers from Resourcifi is their flexible hiring model. What if you have to suddenly scale up your operations because your business was growing? Whether you’re a startup or a well established organization, hiring developers from Resourcifi would mean you can easily able to alter your requirements.

RnF

They made it to the top of our list for all the reasons I could find in my checklist. The reason why in which it stands apart is because of its client testimonials, something we concluded only after getting in touch with them featured on their website, who were cooperative enough to have responded. RnF incorporated in 2009 with a view to offer the best services to their clients no matter what.

I wouldn’t doubt that after seeing them having built an empire all the way from scratch, that too, within just a decade. Even though they’re known for their custom Python web development services, they have a team of Website Developers, offering services in several other programming languages and frameworks.

Fusion Informatics

They’ve come a long way since 2000 when they were founded. Having an experience of over 18 years in the industry, it’s no surprise that they’ve built their way up to one of the top web development companies in the industry. Fusion Informatics proudly show off their ISO 9001:2015 and ISO 27001: 2013 Certifications & the fact that they are a Quality Mark Award Winning Company as well. During their tenure of operations, they have worked with Fortune 500 companies and have gathered a team of more than 140 computer programmers with decades of technical expertise. Apart from India, they have their support offices located in USA, UK, Europe, Australia, Singapore, and Dubai.

PixelCrayons

When it comes to Python web development services, PixelCrayons can offer services for its most popular frameworks such as Django, Pyramid, Flask are just to name a few. Incorporated in 2004, this Mobile and Web App Development Company has provided their services to more than 5000 small businesses, agencies, and startups. With a team of about 200 developers, they’ve earned themselves over 240 digital agency partners.

Apart from Python Website Development Services, they are also popular for offering Blockchain Development, IoT Development, DevOps Solutions, eCommerce Development, Machine Learning Service Solutions, Digital Transformation, Chatbot Development Services, and IT Consulting and many other variety of services.

Mobiloitte

We have another old timer on this list. Mobiloitte began its operations in 2004, and certainly has a lot to show for it. With a team of over 200 professionals, Mobiloitte has managed to offer their services to some of the most flourishing enterprises on the planet. They’ve expanded their spectrum of services over the years, which means they are way beyond just another Python Web App development company. Speaking of services, they offer often looked up to, when it comes to Native & Cross platform Mobile App Development, Social Media Marketing, Mobile Game Development, IoT and even Blockchain Development.

Paragyte

Operating since 2007, Paragyte is an IT consulting company that strives to deliver Technology Solutions to Business Driven Challenges. Having worked with organizations with a variety of scales adds to the expertise in a unique manner. Having a team of more than 100 developers, that are really confident in delivering innovative solutions through a wide spectrum of technologies to help businesses spike their growth. Their services, that obviously include Python web development, range from MS Dynamics Suite(NAV, CRM, AX), Microsoft Technologies, BI, Reporting, .NET, MVC, Portal solutions, Sharepoint, MIgration, CRM Using SalesForce, Cloud Collaboration, Amazon web services, Mobile Apps, Salesforce, Sharepoint, and Mobile App Development.

Mindbowser

Mindbowser Infosolutions like to call themselves a “one stop shop” as they strive to take care of all your IT needs, providing a wide range of software development services, both offshore, and onshore. Even though they have a team of about 50 proficient developers, they have successfully delivered 100+ apps and to put a cherry on the cake, they’re in possession of CMMI level 3 accreditation.They have a blend of professionals with proven track records, who specialise in services ranging from Android Application Development, iPhone Application Development, Blackberry & Windows Application development, Consumer Mobility Design, Big Data Analytics, Enterprise Mobility Design, Hadoop, Cloud computing, Chatbots, Web Design & Development, and IoT.

Arkenea

Arkenea is more like a collaboration between traditional Django developers who consistently strive to build business oriented websites for their clients. They assist companies regardless of their scale, and help them accelerate the pace of their growth by allocating the right resources as per the needs of their clients. Incepted in 2011 with a core team of 6 professionals, Arkenea is now a team of highly competent developers. With an experience of over 7 years, which is not to be underestimated, they have delivered several successful projects, the testimonials to which you may check out on their website. At present, they offer mobile app development, web app development, UI/UX design and Healthcare App development.

SAG IPL

SAG IPL is a Jaipur based offshore IT company that has employed a team of over 200 competent IT professionals hustling every moment only to offer an exceptional quality of web and mobile application development services. Founded in 2010, SAG IPL has been able to successfully deliver IT solutions to all of its clients over the last 9 years and has an amazing rate of consumer satisfaction. Apart from their Python development services across several frameworks, they offer development services for Ruby on Rails, CodeIgniter, Node.js, and Angular.js. They also offer SEO, Digital marketing, ICO Marketing, ICO Development, Blockchain Development, PHP Development services as well.

ValueCoders

More than 14 years in business with a team of over 450 developers, ValueCoders is absolutely killing it out there. They aren’t afraid to flaunt their ISO 9001:2008 certification and their NASSCOM IT Emerge 50 award. They are one of the most successful outsourcing companies, having assisted everyone from startup, software development companies to even Large Scale Enterprises. The services offered by ValueCoders include Python Web App development, Product Development, Support & Maintenance Services, ERP, Enterprise Application, and AI & Machine Learning & API Migration.

Additional Information about Python

What can Python be Used For?

If you’re wondering about all the things that can be accomplished using Python, then you’re at the right place. Python can be used in several areas, some of which are listed below:-Web DevelopmentWith Python, you can not only build Websites or web applications, but it also has the ability to add more functionality with fewer lines of code. Django and Flask are 2 of the most popular frameworks based on Python, with the help of which you can write server-side code that helps you manage database, write the backend programming logic, mapping URLs, and a lot more. Machine learningMachine Learning is a subset of AI that allows systems to learn without the need for human supervision. Jean Francois Puget from IBM’s Machine Learning Department says that Python is the most popular language when it comes to Machine Learning, and it’s pretty obvious when you look at the trending search results on indeed.com. You may read more about the

advantages of using Python for Machine Learning

Data Analysis & VisualisationThese two terms are different when it comes to the end result. Data Visualization means presenting the data in a pictorial or graphical format, whereas, Data Analytics has everything to do with recognizing patterns from complex datasets, and derive meaning from it, which may be a statistic that would further help you draw a conclusion. Data analytics and visualization can easily be developed using Python.

Scripting

Python is more than just a general-purpose programming language . It is also considered a scripting language. Scripting is used to automate certain tasks in a program. It is less code-intensive than any other traditional programming language. For example, it is popularly used for sending automated response emails.

Game Development

Who doesn’t want to invest in an industry that is expected to be worth over $90 billion by 2020, straight from $78.61 billion in 2017? Good news for you, Python can be used for game development as well. Unfortunately, there isn’t any short explanation on how that happens. If you really want to get into the details of how to build games using Python, you may check out the video below.

Why is India good choice for custom Python web development?

The very first thing you need to think about is the country you want to hire a Web Development Company from, as there are going to be many factors that may influence your decision. Now since we can’t provide you an exhaustive list of countries and their details, which would require an e-book as a standalone, what we will otherwise offer you is a general perspective as to why you may want to hire a Web Development Company from India.

What if I told you that the most important factors that you may consider before hiring a web development company, are in favor of India, in almost every aspect? If you think it’s too good to be true, check out the list of advantages given below:-

A Large Pool of Talent

Indians make up 16.7% of the total world population, which is easily over 1.5 billion. Since there are a lot of people in India, there is an abundance of proficient resources to choose from. To be specific, roughly 1.5 million people graduate and get into the workforce every year. That’s not all, India is known to be the second-largest English speaking population in the world, right after the US, so a communication barrier wouldn’t even be the last concern on your mind.

Cost Savings

This is the primary concern for most companies, which is why it’s a star attraction for tech giants to seek out to India when it comes to saving money. Typically, if you hire a web app developer in the US, they would run you about $45-$50 an hour, whereas hiring in India would cost you just about $15-$20 an hour on average. Well, since the cost of living in India is cheaper and the currency exchange rates are in your favor, you have all the reasons to hire from India.

Latest Technology in Possession

One of the major reasons why companies often seek out to India for website development is their most prized possessions. Did you know that

NASSCOM

research suggests that India will soon have the highest number of ISO-9000 software companies in the world? If you want to know how India has emerged as a preferred hub of new-age innovation, you may read more about it

here

Time-Zone Advantage

India is 4 hours and 30 minutes ahead of the UK and 9 hours and 30 minutes ahead of Washington, but what’s more important is that the entire country has a single time-zone. This allows you access to all the proficient developers around the country, at the same time, and when you have time-zone differences, you can reach out to development companies in India when it isn’t normal working hours in your native companies. Conclusion

Even though it was hard narrowing it down to a list of 10 companies, it was worth every second I put into writing this as this is the most extensive and organised piece of information I’ve ever come up with. There are tons of Python development companies out there, but this will save you time that you would have invested in your research. All of the above companies have their own upsides, and now it’s your job to find the right one that best suits your needs.

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michaelwadetesting · 7 years ago

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Check out this checklist for a successful Salesforce Testing

Salesforce is by far one of the most preferred CRM platforms. The popularity of Salesforce as a CRM platform owes mainly to the software’s flexibility, scalability, ease of application and cost effectiveness. Its ability to bring about a seamless integration of different business functions can result in better business intelligence. The best part of using Salesforce is in developing bespoke applications quickly. These applications can help in strengthening the customer interface with an aim to deliver the expected customer experience. This is important to ensure and propogate one’s brand value in the competitive business environment.

So, be it accounts, admin, campaigns, leads, opportunities or contacts, Salesforce integration of applications can do a world of good to the business. However, the pace at which such applications are developed requires the same to be thoroughly tested for bugs or to address the performance issues.

When it comes to testing, carrying out manual testing of applications on Salesforce can lead to issues such as inconsistent monitoring, cost escalation in terms of man hours spent, and lesser test coverage. To get over the shortcomings of manual testing, it is advisable for businesses to go with Salesforce test automation.

At the same time, writing codes for Salesforce automation testing is a skilled task, for any small change to the system would mean writing the corresponding Salesforce test automation code all over again. This complexity can certainly be a deterrent unless appropriate tools to undertake test automation for Salesforce are implemented.

To implement successful Salesforce test automation, these are some key essentials;

#1 Choose the right Salesforce automation testing tool: Salesforce test automation would require use of a code free tool. The focus should be more on using a tool with a point and click interface. There are quite a few Salesforce automation testing tools such as Salesforce Lightning Inspector, Provar and Apex Interactive Debugger, etc. These include features such as flexibility and automatic generation of reports amongst others.

#2 Cover the entire test area: As opposed to manual testing, Salesforce test automation should cover the entire test area with all the positive and negative test cases. Run Salesforce automation testing to include any possible update that the organisation might have undergone since the last test automation for Salesforce. Also, take into account the code lines, for any addition or alteration of these can change test coverage patterns.

#3 Cover all types of test automation for Salesforce: Salesforce automation testing should include a wide range of tests. These can range from functional testing, load testing, and regression testing to security testing and deployment testing. Since each of these tests verify and validate a specific aspect of the application, overlooking one or more can have a significant impact. You can miss out on errors or bugs in the process.

#4 Check for Classes and Controllers: The creation of separate classes and controllers, though important to make the code more flexible and scalable, can make things difficult for portability. This necessitates the use of test code in the original class and controller code to carry out portability.

#5 Focus on Unit Test: If the entire code is tested during test automation for Salesforce, any bug found can be difficult to correct. On the other hand, if a particular subset of a functionality is checked the bugs can be identified and corrected easily. Thus, carrying out a unit test to validate a particular functionality or record against expected outcomes makes the testing process more robust.

#6 Check the code in its entirety: Since a test code for Salesforce test automation can cover a large number records (in hundreds), it is advisable to check the entire code. This should be undertaken to achieve optimization in testing, and even check individual records.

#7 Check for positive tests: Salesforce test automation should check for the expected outcome for all combination of test parameters.

#8 Check for negative tests: Finding negative test results during test automation for Salesforce would mean the presence of bugs. It can result in long term impact on the application and its functioning.

Conclusion

Building an application and integrating the same on Salesforce can enhance the functioning of an organisation. This should be duly followed by Salesforce test automation to obtain optimum results. Salesforce Testing must address some basics ‘dos’ to ensure that the application integrates well with other functions. This will eventually ensure higher RoI.

Michael works for Cigniti Technologies, which is one of the top Independent Software Testing company in the world to be appraised at CMMI-SVC Level 5, and an ISO 9001:2008 & ISO 27001:2013 certified organization.

#Salesforce test automation #salesforce testing

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deloresgonzales-blog · 8 years ago

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CIS 554 Week 3 Case Study 1 – Strayer

Click On The Link Below To Purchase A+ Graded Material

Instant Download

http://budapp.net/CIS-554-Week-3-Case-Study-1-Strayer-NEW-CIS554W3C.htm

Case Study 1: Reaching Success through Best Project Management Practices

Due Week 3 and worth 80 points Read the following articles:

 “OPM3® Case Study: OPM3 in Action: Pinellas County IT Turns Around Performance and Customer Confidence”. Note: The article in PDF format can be found in the online course shell.

 “IT project management and virtual teams”. SIGMIS CPR '04 Proceedings of the 2004 SIGMIS conference on Computer personnel research: Careers, culture, and ethics in a networked environment, pages 129-133. Note: This article can be found in the ACM Digital Library  Please follow the steps below to access ACM Digital Library:

a. Login to iCampus at https://icampus.strayer.edu/login:

b. From iCampus:

i. Click STUDENT SERVICES>> Learning Resources Center >> Databases

ii. Scroll down to "Information Systems/Computing"

iii. The ACM Digital Library is below the heading.

Write a two to three (2-3) page paper in which you:

1. Identify the common challenges that exist within IT projects based on the first article. Highlight the best practices that could be linked to the successful performance of IT project teams.

2. Determine at least three (3) challenges that exist when working with virtual teams based on the second article titled “IT project management and virtual teams”. Analyze how the efficient management of these challenges influences the success of project deliverables.

3. Based on the lessons learned within the first article titled “OPM3® Case Study: OPM3 in Action: Pinellas County IT Turns Around Performance and Customer Confidence”, draw a workflow diagram to show how a project should initiate to gain support from the various project stakeholders. Use the graphical tools in Microsoft Word or Visio, or an open source alternative such as Dia. Note: The graphically depicted solution is not included in the required page length.

4. Compare and contrast the assessment steps provided by the OPM3 Model presented in the first article with the CMMI-DEV-v1.2 process framework presented in Appendix 1A of the textbook. Discuss how the CMMI maturity levels are related to the assessment steps.

5. Summarize at least three (3) CMMI processes that can improve the productivity of virtual teams. Determine the three (3) most significant measures and the activities associated with each process. Note: Refer to table 1A.4 in Chapter 1 of the textbook for information on purposes of the CMMI-DEV-v1.2 processes.

Your assignment must follow these formatting requirements:

 Be typed, double spaced, using Times New Roman font (size 12), with one-inch margins on all sides; citations and references must follow APA or school-specific format. Check with your professor for any additional instructions.

 Include a cover page containing the title of the assignment, the student’s name, the professor’s name, the course title, and the date. The cover page and the reference page are not included in the required assignment page length.

 Include charts or diagrams created in Visio or Dia. The completed diagrams / charts must be imported into the Word document before the paper is submitted.  The specific course learning outcomes associated with this assignment are:

 Discuss the challenges of leading software projects.

 Compare and contrast the frameworks, standards, and guidelines for managing software projects.

Explain the use of process frameworks for developing technology-based systems.

 Use technology and information resources to research issues in IT Project Leadership Strategies.

 Write clearly and concisely about topics related to IT Project Leadership Strategies using proper writing mechanics and technical style conventions.

#CIS 554 Week 3 Case Study 1 – Strayer

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jameskenny-things-blog · 8 years ago

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CIS 554 Week 3 Case Study 1 – Strayer

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Case Study 1: Reaching Success through Best Project Management Practices

Due Week 3 and worth 80 points Read the following articles:

 “OPM3® Case Study: OPM3 in Action: Pinellas County IT Turns Around Performance and Customer Confidence”. Note: The article in PDF format can be found in the online course shell.

a. Login to iCampus at https://icampus.strayer.edu/login:

b. From iCampus:

i. Click STUDENT SERVICES>> Learning Resources Center >> Databases

ii. Scroll down to "Information Systems/Computing"

iii. The ACM Digital Library is below the heading.

Write a two to three (2-3) page paper in which you:

1. Identify the common challenges that exist within IT projects based on the first article. Highlight the best practices that could be linked to the successful performance of IT project teams.

Your assignment must follow these formatting requirements:

 Discuss the challenges of leading software projects.

 Compare and contrast the frameworks, standards, and guidelines for managing software projects.

Explain the use of process frameworks for developing technology-based systems.

 Use technology and information resources to research issues in IT Project Leadership Strategies.

 Write clearly and concisely about topics related to IT Project Leadership Strategies using proper writing mechanics and technical style conventions.

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#CIS 554 Week 3 Case Study 1 – Strayer

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haunteddeerduck-blog · 8 years ago

Text

CIS 554 Week 3 Case Study 1 – Strayer

Click On The Link Below To Purchase A+ Graded Material

Instant Download

http://budapp.net/CIS-554-Week-3-Case-Study-1-Strayer-NEW-CIS554W3C.htm

Case Study 1: Reaching Success through Best Project Management Practices

Due Week 3 and worth 80 points Read the following articles:

 “OPM3® Case Study: OPM3 in Action: Pinellas County IT Turns Around Performance and Customer Confidence”. Note: The article in PDF format can be found in the online course shell.

a. Login to iCampus at https://icampus.strayer.edu/login:

b. From iCampus:

i. Click STUDENT SERVICES>> Learning Resources Center >> Databases

ii. Scroll down to "Information Systems/Computing"

iii. The ACM Digital Library is below the heading.

Write a two to three (2-3) page paper in which you:

1. Identify the common challenges that exist within IT projects based on the first article. Highlight the best practices that could be linked to the successful performance of IT project teams.

Your assignment must follow these formatting requirements:

 Discuss the challenges of leading software projects.

 Compare and contrast the frameworks, standards, and guidelines for managing software projects.

Explain the use of process frameworks for developing technology-based systems.

 Use technology and information resources to research issues in IT Project Leadership Strategies.

 Write clearly and concisely about topics related to IT Project Leadership Strategies using proper writing mechanics and technical style conventions.

#CIS 554 Week 3 Case Study 1 – Strayer

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blueskyindia · 4 years ago

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PCI DSS certification Consultancy - Blue Sky Management

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Chip details

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blueskyindia · 4 years ago

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CMMI level 3 certification Consultancy - Blue Sky Management

Located at Ahmedabad in Gujarat India, Blue Sky Management Services is engaged in providing CMMI level 3 certification consultancy services, CMMI level 3 training services, CMMI level 3 consulting services located at Ahmedabad in Gujarat, India. We can help organizations in achieving CMMI level 3 certification – capability maturity model integration maturity level 3 certification in India.

For our entire range of certification and training services, please visit our websites – www.bluesky.co.in or www.blueskycorporates.com or email us at [email protected]

An organization willing to obtain CMMI level 3 certification may or may not opt for CMMI level 2 certification first. CMMI level 3 certification can be obtained directly without achieving CMMI level 2.

CMMI levels are indicating maturity level of the organization based on compliance of the processes employed with CMMI practices listed in the CMMI Model.

As CMMI Maturity levels are increasing, Risk of the failure of the process/product, defects, client complaints are decreasing and project / operating cost is getting optimized. As CMMI maturity level increases, organizations capability to predict the operations based on available data increases. Organization’s capability to forecast the operations becomes data driven and more realistic

CMMI Version 2.0 model focuses on process improvement through 4 categories

Doing

Managing

Enabling

each Improving

Further each Category has a particular set of capability areas in them.

Category Doing Contains Capability areas like

Delivering & Managing Services

Engineering & Development of products

Ensuring Quality

Selecting & Managing Suppliers

Category Managing Contains Capability areas like

Managing Business Resilience

Managing the Work Force

Planning & Managing Work

Category Enabling Contains Capability area

Supporting Implementation

Category Improving Contains Capability areas like

Improving Performance

Sustaining Habit & Persistence

Each capability area further has practice areas in it.

CMMI Version 2.0 Model involves 25 Practice areas. Applicability of Practice areas depends on Domain of organisation – Development / Service.

CMMI levels are described as ;

CMMI level 2 – Processes are at initial level. They are mostly project focused.

CMMI Level 3 – Processes are defined. They are extended to organisational level from project level.

CMMI level 4 – Processes are measured based on factual data. This measurement helps in Quantification of performance of process.

CMMI level 5 – Based on measurement of processes at level 4, this level specifies requirement for bringing process performance at their optimum level.

CMMI Version 2.0 Model specifies following practice areas at CMMI level 3-

Causal Analysis & Resolution

Configuration Management

Continuity

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Estimating

Governance

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Managing Performance and Measurement

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Organisational Trainings

Peer Reviews

Planning

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diyatestingupdates-blog · 6 years ago

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What mistakes can lead to the failure of your Software Test Automation Strategy?

Software test automation has been adopted by businesses to address the changing dynamics of the digital environment. It aims at hastening the software development process and securing for the end user, a rewarding experience. Furthermore, it helps both the testers and developers to identify and eliminate bugs not to speak of executing a speedy validation of the features and functionalities of the software. Even though your test automation strategy is capable of delivering goods aligned to your business objectives, it can go horribly wrong as well.

Although achieving short term success is commonplace, software testing automation can hit a roadblock when used for a longer period. To ensure the testing phase goes off uninterrupted and delivers the expected results, it is better to avoid a few mistakes.

Let us understand the mistakes, challenges, and expectations that businesses often ignore for reasons of expediency – deliver more number of software within short turnarounds.

#1. Mismatch in expectations and reality: Software automation tools are expected to be all-encompassing and magic bullets to identify and eliminate all types of glitches. However, this approach is not proper as each tool comes with a specific configuration, functionality and capability. We need to think differently instead of keeping unrealistic expectations like everything will be done at the click of a button, or go for automating the entire testing process, and secure ROI.

As any software comprises numerous digital elements and touchpoints with each requiring validation, testing too should come with a lot of forethought. Find out if the automation testing tool can conduct robust testing across environments. Moreover, the testing team should have the right coding skills to develop the script.

#2. Easy testing? The prevalent notion among testers is that software test automation is a one size fits all process and an easy one at that. Nothing can be farther from the truth. One of the most important requirements of automated testing is the input. To validate the performance of software in terms of features and functionalities, the same should be tested by the end users using relevant inputs. Since it is not always feasible to get the end users, especially when it comes to testing software across environments and geographies, the need to use virtual users becomes important. The automated software should be able to generate multiple users in various environments to validate the software.

Also, you cannot automate the entire testing process, for not every process is amenable to automation. In fact, automation should be treated as an extension of manual testing, which means the process should ideally be a mix of manual and automation testing. The software testing automation strategy should be clear about the tests to be conducted manually.

#3. Avoid testing on an autopilot mode: Post creating the automation test strategy, it is a common mistake to execute the same test repeatedly as if on autopilot. Remember, executing the same test repeatedly and quickly does not guarantee the best results. To ensure the delivery of quality software, the testing team should come up with the right tests and not stop at that. The testing team should continuously evaluate the tests to find out as to which one shall give the best results. So, it is better to create a test script that suits the specific requirements of testing and not go for a one size fits all types.

#4. Treat test automation akin to software development: With Agile and DevOps paradigms defining your overall testing strategy, the focus should be on looking at the entire testing process holistically. The testing process should not be treated as an add-on but an integral part of the SDLC. In other words, the testers should be conversant in coding and be able to write test scripts that are customized to the project requisites. Software testing using automation tools needs continuous improvement and should be updated as per the changing parameters.

Conclusion

Software test automation is a powerful exercise/process to validate the quality of software across environments. However, testers should use the right strategy and automation tool to achieve the desired results. If done properly, it helps to deliver glitch free software, enhance the workflow, and achieve ROI.

Diya works for Cigniti Technologies, which is the world’s first Independent Software Testing Company to be appraised at CMMI-SVC v1.3, Maturity Level 5, and is also ISO 9001:2015 & ISO 27001:2013 certified.

#software test automation services #test automation experts #software testing #Software testing automation #Software test automation #test automation strategy #automated testing #QA Automation Testing #automation testing

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diyatestingupdates-blog · 6 years ago

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Changing trends in Software Quality Assurance

The global digital landscape is witnessing rapid changes thanks to developments like the advent of advanced technologies, digital convergence, the emergence of social media, and proliferation of a number of device platforms and channels of communication. These changes, besides whetting the appetite of customers for better quality products, have also created challenges and complexities for businesses. According to the World Quality Report for 2018 – 2019, end user satisfaction has emerged as the top priority for businesses to address. As the software development process adopts new technologies and paradigms to cater to the emerging user requirements, software quality assurance too is witnessing disruptions. Let us discuss the changing trends in software quality assurance testing in some detail.

#1. Adoption of artificial intelligence and machine learning: The adoption of AI and machine language processing by software quality assurance services is based on two premises. The first one is about using AI and machine learning to enhance the capabilities of QA software testing while the second is about testing the AI algorithms. AI, by using neural networks and Natural Language Processing can help the QA process in several ways such as:

Creating sophisticated test automation scripts to predict glitches by analyzing huge databases.

Providing developers with the option of carrying out initial testing before passing on the code to testers. The testing can help developers in identifying the source of bugs in the codes quite easily.

Looking into areas like databases, memory, servers, internal file contents etc. to test if the test outcomes match the expected results.

Simulating virtual users and analyze their interaction with various features of applications.

#2. Performance engineering emerges as the key: The growing complexity of software applications has brought in the discipline of performance engineering. It is not about merely testing the performance of a feature or functionality on specific metrics but analyzing how various elements of an application or system function combinedly. These elements comprise performance, functionality, usability, security, system configuration etc. The discipline of performance engineering deals with improving the quality of high value elements of a system or application. It is achieved by breaking the individual components of a system and finding out how they collaborate with each other.

#3. Internet of Things (IoT) Testing: The advancements in digital technologies have led to the development of next generation devices that communicate with each other. In other words, modern devices like LED TVs, refrigerators, cars, and others have software applications build into them, which help to perform functions based on user commands. To ensure such connected devices function to their optimal level, the embedded pieces of software are needed to be tested. These types of software, when form part of the medical devices, play a critical role in saving the lives of patients by correctly diagnosing the ailments. Thus, it gives more reason to test their efficacy through QA software testing. There are several quality assurance software testing services such as compatibility testing, usability testing, scalability testing, regression testing, performance testing, and security testing.

#4. Big data testing: Today’s devices interfacing with several digital elements generate a humongous quantum of data. The analysis of such data is critical to derive suitable inferences, which may be of help in realizing the objectives of a business. The data should be validated against parameters such as consistency, accuracy, conformity, duplication, and completeness.

#5. Test Automation: Software quality assurance often involves the testing of processes that are repetitive in nature. This can lead the testers suffer from visual fatigue thereby losing track of the test parameters. The manual way of testing complex test variables is glitch prone and time consuming leading to adverse consequences. To address the issue, the software quality assurance services take recourse to test automation. Here, the QA experts write automated test scripts (even by taking the help of AI) to test various test variables. Even though not all tests can be automated, the ones subjected to automation can come out glitch free not to speak of increasing the test coverage area. Testers can use several test automation platforms (open source or premium) to write test scripts.

Conclusion

Testing experts should keep abreast of the latest technologies and paradigms in testing software applications. They are an important cog in the wheel in delivering glitch free software products and ensuring customer satisfaction. The latest trends in QA must be followed to stay ahead of the competition.

#software quality assurance #qa testing services company #software qa testing company #qa software testing #testing center of excellence #Software Quality Assurance Company #software quality assurance services #software quality assurance testing

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diyatestingupdates-blog · 6 years ago

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Top 5 reasons for considering AI for enhancing software quality

The digital transformation initiatives of enterprises have become comprehensive and complex in their scope and challenges. These initiatives entail the development and delivery of myriad software applications, which in turn leverage a host of digital elements. These elements include API’s, legacy systems, platforms, frameworks, cloud, cutting edge devices, operating systems, browsers, and networks. The complexities and challenges brought about by the interaction of applications and digital elements (as mentioned earlier) have witnessed a paradigm shift in the Quality Assurance process. To ensure deliverables such as quality and cost savings within small turnarounds, the leveraging of machine based intelligence has become important. Artificial intelligence, apart from improving the quality and scope of test automation, helps in analyzing huge chunks of data to draw meaningful inferences. AI application testing is poised to do away with traditional manual testing processes and help stakeholders to implement the Agile-DevOps model in a better way.

The artificial intelligence testing services assess and analyze software applications under specific parameters/conditions to identify the risks and overall threshold before their eventual delivery. AI testing paves the way for developers, testers and members of the operations unit to be convinced of the quality of software as well as understand the specific software attributes that would appeal to the end customers. AI testing helps the QA teams to impart quick and precise feedback to the development teams. This is of utmost importance given the speed of software launches and the mindboggling array of digital elements the software needs to have an interface with. The QA requirements of today have shifted to smart testing from the traditional waterfall model of testing. Furthermore, the pace of new software releases notwithstanding, the frequent updates too are needed to be factored in by the QA team. This is where leveraging AI application testing becomes essential.

Let us delve into five reasons as to why artificial intelligence has become crucial to enhance software quality.

Why use artificial intelligence app testing?

#1. Better accuracy: A proper QA exercise includes the validation of each and every feature and functionality of the software. This is not always possible in the traditional waterfall model of manual testing given the factor of human fatigue in testing repetitive and complex processes. Even the much vaunted test automation might come a cropper if the QA team is not able to create proper test scripts for specific processes. However, AI application testing can analyze the testing requirements and create suitable automated test scripts. Also, the AI testing tools can generate meaningful data for the QA team to take relevant inferences about enhancing the quality of software. As testers are freed from carrying out mundane tests, they can utilize the time to create better test automation suites.

#2. Simulated testing: Given the preponderance of test variables interfacing with myriad digital elements, it is virtually impossible to validate them by any QA department. However, AI app testing services can simulate any number of virtual users (even running into thousands) who can interact with the software application. In doing so, these set of virtual users can validate the features and functionalities of the software application, especially when the latter interfaces with sundry digital elements. The virtualization process checks each and every test variable and identifies the glitches lying therein. Thus, the quality of software gets enhanced significantly in tune with the business requisites leading to customer satisfaction.

#3. Easy testing process: The foremost challenge for any QA tester is to write automated test scripts that examine a vast amount of data. This can delay the testing process thereby impacting the overall turnaround time – a critical lapse that can have an adverse impact on business. Remember, customers are generally attracted to new products, and if the same turn out to be innovative, qualitatively superior, and feature rich, the business delivering such products can reap rich dividends. However, such lapses can be easily mitigated or eliminated by leveraging artificial intelligence app testing. The powerful algorithms of AI can create sophisticated test scripts that can analyze and sift through copious amount of data. Moreover, AI can analyze past test records and evaluate the entire SDLC to suggest the areas of testing and predict glitches. This can significantly increase QA efficiency and save time.

#4. Helps developers: The development teams are dependent on the QA teams to identify glitches that may have been incorporated into the software. This has a bearing on the overall turnaround time. What if, the development teams conduct some sort of initial screening of the codes before handing the latter to the QA teams? This can help the development teams to remove the gaps or bottlenecks that have crept into the codes. This becomes possible when an AI testing framework is considered as a part of DevOps. The development teams can leverage the AI testing tools to conduct an initial screening exercise. Consequent to this approach, the efficiency of the QA process improves and crucial time/cost is saved, which otherwise would have gone into rework. AI can detect the source of bugs in the software, which can help the development teams to carry out suitable modifications in the codes thereby pre-empting the entry of bugs.

#5. Improves the test coverage area: Traditional QA leaves a lot to be desired when it comes to the scope of testing. AI, on the other hand, can look into areas such as memory, database, internal file contents, and program states to test if the software is delivering outcomes that are consistent with the expected ones.

Conclusion

The AI app testing services are increasingly leveraged by enterprises to turn their QA processes precise, elaborate, quick, and cost effective. These services analyze and offer test outcomes that improve quality, streamline processes, quicken the pace of delivery, and achieve ROI.

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diyatestingupdates-blog · 7 years ago

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How can Test Automation deal with the challenges of software development?

The domain of Information Technology is changing rapidly. This is majorly due to the advent of new technologies and changing customer preferences. Businesses, in order to address the customers’ demand for a good quality software, are forced to ride the technology bandwagon. So, be it incorporating the Internet of Things (IoT), Cloud Computing, Blockchain, Artificial Intelligence and Machine Learning (AI & ML) and others, businesses are wary of deploying software application without running a comprehensive test automation exercise. Moreover, any software application of today has to be compatible across a range of devices, operating systems, browsers, frameworks, and networks. This is of utmost importance in providing a rich customer experience, remaining competitive, and realizing ROI. And test automation fits in perfectly to address the above mentioned requisites as well as executing complex regression tests involving a lot of data.

However, notwithstanding the plethora of benefits brought about by QA automation testing, there can be challenges galore. Let us know about the new challenges and the way a robust automated testing strategy can address them. Should automation testing gets executed in the right way, it will help in boosting the efficiency and productivity of the workforce and processes let alone the quality of products.

#1. Compatibility with new devices/browsers/OS versions/networks: There is a mindboggling array of devices, networks, platforms, frameworks, and operating systems in the market. Any software should be tested for compatibility across the above mentioned elements and environments. This is where choosing the right test automation framework from the below mentioned list becomes important:

Linear automation framework

Modular-based testing framework

Library architecture testing framework

Data driven framework

Keyword driven framework

Hybrid testing framework

The selection of a right testing framework should involve a proper assessment of deliverables, language used, team’s skill set, and cost.

#2. API Testing: With IoT, AI and ML technologies becoming mainstream, software applications are incorporating them to be with the times. And since embedded software needs to communicate with each other inside devices a la IoT, the corresponding APIs should be validated for quality. In doing so, one should choose the right API testing tools such as REST Assured, Postman, SoapUI, JMeter, Fiddler, Katalon Studio, and KarateDSL among others. The tools allow the seamless writing, running, integrating and automation of advanced API tests.

#3 Virtual test environments: The growing digital transformation initiatives undertaken by businesses and organizations have brought in the Agile-DevOps model of software development, testing and deployment. The test automation services should create a proper CI/CD pipeline to meet customer expectations. Since testing the application on a multitude of environments is not always feasible, virtual test environments should be created. The latter can validate the quality of software on a slew of parameters by generating the requisite test data.

#4. Use of AI in software test automation: As software gets more complex, testing the same with a traditional software test automation suite can be a challenge. However, AI can help the cause by predicting and identifying glitches based on analysing past outcomes. Moreover, AI can help in creating test data and automated test suites thereby saving the time of test automation experts. The set of test data generated by AI shall be useful in performing end-to-end QA at every stage of the SDLC. Overall, AI assisted QA can help to validate the quality of software in terms of performance, functionality, reliability, usability, and security.

#5. Security testing: Software is becoming increasingly vulnerable to cyber-crime - thanks to the proliferation of a multitude of malware, trojans, and viruses. Moreover, strict security regulations have been put in place both at the domestic and international levels to ensure greater software compliance and reduction of security risks. DevSecOps is the new methodology wherein security is incorporated within the rigmarole of DevOps to identify and eliminate security vulnerabilities. The automation testing approach should meet the security considerations by using appropriate test suites and tools.

#6. Need for CI/CD: The meaning of software quality has undergone a paradigm shift. It is no longer about ensuring the quality of software at the time of delivery alone but maintaining it throughout the lifecycle of a product. This is the crux of DevOps that calls for upholding the Continuous Integration and Delivery of software by keeping it updated at all times. By choosing the right QA automation tool the same can be achieved leading to cost optimization and driving customer satisfaction.

Conclusion

Test automation services need to use the right test strategy and tools to ensure proper test outcomes. This requires stakeholders to invest adequate money and time to make the software quality compliant and ensure its adherence to security protocols and regulations.

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