#cloudqa

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Codeless Testing Tools For 2024 - Technology Org

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Codeless Testing Tools For 2024 - Technology Org

Codeless automation testing tools have emerged as a significant solution. These tools offer a user-friendly interface for efficient test creation without coding. They enable non-technical users to seamlessly automate testing processes. In this blog, we will explore the top codeless testing tools that will shape automation testing in 2024.

Software developer’s workplace – illustrative photo. Image credit: Farzad via Unsplash, free license

Codeless Testing Tool Overview

Codeless testing involves producing and executing tests without the coders having to write lengthy codes. Instead, designers use drag-and-drop functionalities, graphical interfaces, and pre-built components to design and execute tests.

This technique applies a user-oriented approach aimed at testers with no programming or low programming skills to achieve test creation, management, and execution tasks easily. In codeless automation, speed is enhanced, productivity is increased, and teams can take products to market faster.

Popular Codeless Testing Tools in 2024

Let us see some of the emerging codeless testing tools in 2024

Katalon Studio

Katalon Studio stands out for its adaptability in automation testing on Desktop, Mobile, Web, and APIs. It has a simple user interface that uses drag-and-drop commands and record-and-playback functionality.

Katalon simplifies automation testing while providing features like built-in test-case libraries, object repositories, and extensive reporting capabilities. It integrates with popular Continuous Integration tools and supports native plugins to enhance workflow efficiency. Katalon’s ability to detect object modifications and adapt tests ensures test stability. It also supports various integrations such as Issue Management and Test Management, further improving the automation testing process.

TestCraft

TestCraft focuses on end-to-end (E2E) automation testing for continuous and regression testing. TestCraft allows QA teams to accelerate their automation testing efforts efficiently and precisely.

TestCraft has agility in generating test scenarios even before the application is fully developed to start testing early in the development lifecycle. The tool’s support for multiple data sets and parallel implementation further enhances testing flexibility and coverage.

TestCraft’s unique approach to automation testing includes pre-coded test scripts with customizable inputs to suit specific testing requirements.  TestCraft allows testers to reuse flows and elements across different test scenarios. It also offers smart analysis and reporting capabilities for test execution results and facilitating informed decision-making.

LEAPWORK

LEAPWORK is a cloud-based automation testing tool known for its versatility in testing various types of applications. It allows agile project teams to implement automated QA testing procedures to establish faster release cycles and improve product quality.

It offers various features aimed at enhancing QA teams’ productivity and efficiency. It can reuse automated flows across different test cases to optimize cloud testing maintenance efforts and ensure consistency in automation testing practices. It supports cross-browser testing, parallel runs, and application functionality validation across different environments.

CloudQA

CloudQA is a cloud-based automated testing platform that improves test management and execution across multiple browsers simultaneously. It offers an integrated report tool for rapidly generating and scheduling regression test suites.

This codeless automation testing tool allows users with the same level of functionality as Selenium without requiring advanced programming expertise. Recorded tests are organized into manageable modules and presented in easily understandable formats.

CloudQA is repurposed for load testing, regression testing, and synthetic monitoring.  Key features such as smart Record & Playback tests with screenshots after each step, support for data-driven tests, and integration with third-party tools like Slack, Asana, GitHub, and JIRA enhance the testing experience to detect and manage bugs effectively.

Ranorex Studio

The main feature of the Ranorex Studio is that it can record the scriptless automation of mobile, web, and desktop applications using the powerful object recognition mechanism. It provides a user-friendly interface and complete functions to improve the automated testing process.

It supports standard programming languages such as C# and VB.NET to create automation scripts using familiar syntaxes. Testers can easily automate regression testing by utilizing drag-and-drop UI objects, capture-and-replay functionality, and code modules.

Ranorex Studio can integrate with Selenium WebDriver to enable cross-browser testing on a Selenium Grid. The tool offers advanced features such as RanoreXPath technology for recognizing UI components, a spy engine for tracking UI descriptions, and image comparison capabilities for visual validation.

Ranorex Studio further enhances collaboration and productivity by integrating various DevOps and project management tools. This integration ecosystem enables teams to build a complete automated testing toolchain for test execution and result management.

TestProject

TestProject is a free codeless testing tool for QA teams to improve the creation and execution of automated tests. TestProject simplifies building and maintaining automated test cases, eliminating the need for programming expertise.

TestProject can design and manage test cases using the tool’s user-friendly interface. This flexibility extends to the types of applications tested, as TestProject supports testing for web applications, mobile apps, and APIs to meet diverse testing needs.

Through its test reporting feature, testers can access the required information to locate and solve any problems discovered during the testing quickly. It permits team members to work collaboratively by making the transfer of test results available and establishing transparency and operating efficiency.

TestProject enables QA teams to automate testing and detect issues early in the development cycle to release cycles faster and improve product quality.

Testim

Testim can facilitate quick and straightforward creation and execution of automated tests by QA teams. It has a user-friendly drag-and-drop interface and AI-powered testing capabilities to build and maintain automated test cases without the need for programming knowledge.

Testim AI-powered testing capabilities significantly improve the test process by automatically creating test cases and identifying flaws. This automation saves time and enhances the efficiency and effectiveness of the testing process to deliver high-quality software.

Testim supports testing for software components like APIs, web applications, and mobile applications. This ensures comprehensive testing coverage to identify and address issues across different software layers. Testim’s automated testing approach minimizes the risk of human errors and ensures that software products undergo thorough testing.

Selenium IDE

Selenium IDE has the power of Selenium for automate web applications without coding. Selenium IDE involves straightforwardness in the creation and execution of automated tests, thus making it the best option for testers regardless of their expertise levels.

Its ability to run specific tests or entire test suites allows testers to manage and execute their testing scenarios efficiently. It also provides debugging capabilities, including setting breakpoints and pausing on exceptions directly from the IDE.

Selenium IDE is cross-browser testing to ensure its compatibility with the Selenium IDE runner, which enables testing across various browsers and operating systems. They offer a set of commands for creating loops, inserting waits, and executing asserts.

Its support for control flow structures, such as if-else statements, enables testers to implement conditional testing directly from the IDE to simplify test logic and enhance test coverage. The tool also supports test reuse through the run command to incorporate specific test cases into multiple test suites.

Selenium IDE further improves the automation testing process by storing test scripts as JSON files, enabling easy comparison, modification, and examination of tests. This simplifies test maintenance and collaboration among team members to ensure efficient test management and execution.

ACCELQ

ACCELQ is an AI-powered codeless automated testing tool that offers a solution for automating desktops, web applications, mainframes, and other applications with minimal effort and time.

ACCELQ distinguishes itself with its self-healing capabilities, which make test automation efficient. Its user-friendly interface enables the development of automated tests that integrate with existing DevOps and quality toolchains for enhanced collaboration and workflow efficiency.

ACCELQ’s features include scalability and enterprise-grade security, making it a safe and reliable choice for organizations of all sizes. It offers automation of both User Interface and API testing, ensuring comprehensive test coverage across different application layers.

It can create app blueprints to facilitate visual test design, while its Embedded Frameworks enable speedy development and minimal maintenance overhead. Features like Projecting and Path Analysis generate test scenarios, maximizing test coverage and effectiveness. It is also continuously integration-ready to incorporate automated testing into its development pipelines.

Mabl

Mabl is explicitly designed for CI/CD environments. It integrates automated end-to-end (E2E) tests into the Software Development Life Cycle (SDLC). It utilizes extensive web browser automation coverage, including Selenium WebDriver, IDE, and other automation testing tools.

It can enable parallel testing across all browsers, eliminating barriers related to visual design, user experience tests, and performance tests. By managing everything in the cloud, this significantly reduces the physical effort, hosted infrastructure, and test case maintenance associated with automation testing.

Mabl’s advanced User Interface and design approach make it intuitive and easy to use. The Mabl Trainer browser plugins allow testers to set up functional testing against applications in minutes.

The tool also offers actionable insights that can be exported to various platforms, enabling teams to make informed decisions and prioritize issues effectively. Mabl’s auto-healing feature ensures that testing remains stable and consistent, further enhancing test results’ reliability.

Sikuli

Sikuli utilizes image recognition techniques to automate Graphical User Interface (GUI) tests, seamlessly identifying and interacting with GUI components. It proves beneficial when working, extending its capabilities to automate Java applets and Flash objects, while IDE scripts further enhance its functionalities.

Sikuli requires a visible app GUI during runtime. This means it cannot execute and maintain multiple scripts concurrently when the GUI undergoes frequent changes.

Key features of Sikuli support multiple platforms such as Linux, Mac, and Windows, making it highly versatile and accessible. The tool allows testers to record images at the pixel level for precise UI verification.

Sikuli enables automation testing on various devices and emulators, facilitating comprehensive testing across different environments. It integrates with Selenium to automate desktop applications, enhancing the effectiveness of test automation efforts.

Codeless testing tools offer QA teams the opportunity to enhance the accuracy and reliability of their testing procedures. Automated tests, which are less susceptible to human error than manual tests, contribute to ensuring thorough testing and high-quality software products.

LambdaTest, an AI-powered test execution and orchestration platform, presents an extensive online device farm comprising over 3000 real devices and operating systems, facilitating scalable automation testing. Moreover, it seamlessly integrates with leading codeless testing tools like Katalon Studio, Ranorex, and QMetry, streamlining the testing process.

Conclusion

In conclusion, with codeless testing tools in 2024, QA teams can optimize their testing processes and expedite time to market without compromising quality. From AI-powered platforms to image recognition tools, each offering brings unique advantages to achieve resilient test automation. Integrating automation testing tools into CI/CD pipelines ensures continuous feedback loops and facilitates agile development practices. As we adopt these advancements, automation testing is essential in driving reliable, scalable, high-quality software solutions.

[gis56]

AI-Enabled Testing Tools – The $7.5B Market You Need to Watch! 🤯🤖

AI-Enabled Testing Tools Market is projected to expand from $1.9 billion in 2024 to $7.5 billion by 2034, growing at a CAGR of 14.7%. This market focuses on integrating AI-driven automation, machine learning, and predictive analytics into software testing, ensuring efficiency, accuracy, and scalability in DevOps and agile environments.

To Request Sample Report : https://www.globalinsightservices.com/request-sample/?id=GIS23261 &utm_source=SnehaPatil&utm_medium=Article

Market Trends & Performance

Functional testing tools lead the market, leveraging AI to automate test case generation, execution, and bug detection.

Performance testing solutions are the second-largest segment, ensuring software stability under varying loads.

Security testing tools are gaining traction due to increasing cybersecurity risks and regulatory compliance needs.

North America dominates, driven by early AI adoption and strong software development ecosystems.

Europe ranks second, emphasizing quality assurance and compliance-driven AI testing adoption.

Asia-Pacific is emerging, fueled by digital transformation, IT expansion, and cloud adoption.

Key Growth Drivers

Rise of DevOps & Agile Testing — Increasing demand for continuous integration and continuous delivery (CI/CD) pipelines.

Growing Software Complexity — Need for end-to-end automation to handle diverse software ecosystems.

Advancements in AI & ML — AI-powered self-healing test automation and intelligent defect prediction.

Cybersecurity & Compliance Focus — AI-enhanced security testing to detect vulnerabilities in real-time.

Cloud & API Testing Growth — Adoption of cloud-native and microservices architectures driving automated testing demand.

Market Segmentation

Products: Automated Testing Tools, API Testing Tools, Mobile Testing Tools, Web Testing Tools

Technologies: AI, ML, NLP, Deep Learning, RPA, Computer Vision

Applications: BFSI, Healthcare, Retail, Telecom, Government, Manufacturing

Deployment: Cloud, On-Premises, Hybrid

Solutions: Test Automation, Test Execution, Test Management

The future of AI-enabled testing is driven by intelligent automation, predictive insights, and cloud-based solutions, creating significant growth opportunities for enterprises worldwide.

#aiinsoftwaretesting #testautomation #aienabledtesting #functionaltesting #performancetesting #agiletesting #devopstesting #cloudtesting #machinelearning #automationtools #artificialintelligence #cicd #softwarequality #apiintegration #mobiletesting #predictiveanalytics #intelligenttesting #roboticprocessautomation #deeplearning #cybersecuritytesting #bugtracking #aiqa #smartautomation #nlpforqa #autonomousqa #testingefficiency #cloudbasedqa #continuousdelivery #lowcodetesting #softwaretestingtrends #qualityengineering #testdatamanagement #cloudqa #aibasedtestautomation #microservicestesting #qaautomationtools #enterpriseqa #aiforsecurity #nextgentesting #smarttesting

[glensmith088]

What every QA must know about Selenium 4?

Back in August of 2018 the whole testing automation community had been struck by the big news: Simon Stewart, the founding member of Selenium, had officially confirmed the release date and some of the major updates for Selenium 4 at the Selenium Conference in Bangalore. The 4.0 version of the world’s beloved framework for web testing automation was meant to be released by Christmas 2018.

A little delayed, Selenium 4.0 Alpha version is released which can be downloaded from Selenium official website for javascript. Let’s revisit the features which were announced in the Selenium conference and some of the improvements and additional features that are present in this version.

Why Selenium 4.0 is important?

If you think that testing automation engineers are the only people in the world who should care about the major update of Selenium, you’re wrong. Of course, Selenium has become the industry standard for implementing custom automated tests and is considered to be the first go-to solution for every web application that has grown out of an approach where manual testing could have solved the majority of the problems.

But what is often left out of the picture is that businesses that heavily rely on Selenium are not only the ones who have automation QA engineers on their team but also the ones who have integrated codeless automation testing tools based on Selenium.

Selenium-based codeless testing has become a real lifesaver for every business that realizes the importance of automation but doesn’t have in-house QA experts who would be able to implement it. Such tools not only make the deployment possible for anyone with the basic understanding of web browsers but also make it possible to run regression tests, do synthetic monitoring and load testing without any knowledge of the Selenium framework at all.

A perfect example of such codeless automation software is CloudQA. On top of Selenium, we’ve developed a tool that requires zero effort from the team, integrates with the third-party applications, makes building test cases easier than ever before, monitors your web page performance 24/7, and costs less than hiring a junior manual tester.

If you want to learn more about the benefits of Selenium-based codeless automation tools, get a free demo.

Selenium 4 major changes

Let’s go through the major changes of Selenium 4.0 Alpha version-

W3C WebDriver Standardization

First of all, Selenium 4 WebDriver is completely W3C Standardized. The WebDriver API has grown to be relevant outside of Selenium and has been used in multiple tools for automation. For example, such mobile testing tools as Appium and iOS Driver heavily rely on it. The W3C standard will also encourage the compatibility across different software implementations of the WebDriver API.

Here’s how Selenium Grid communicates with the Driver executables in previous versions:

A test in Selenium 3.x communicates with the browser at the End node through the JSON wire protocol at the local end. This approach requires encoding and decoding of API.

With the updates we’re expecting to see in Selenium 4, the test will directly communicate without any encoding and decoding of API requests through the W3C Protocol. Although JAVA bindings will be backward compatible, the focus will remain more on the W3C Protocol. The JSON wire protocol will no longer be used.

There are multiple contributors to the W3C WebDriver specs, and the whole process can be seen on GitHub.

 Selenium 4 IDE TNG

The Selenium IDE support for Chrome is available now. You can download it from- https://selenium.dev/selenium-ide/ 

As we all know that Selenium IDE is a record and playback tool. It will now be available with the following, much richer and advanced features:

New plug-in system - Any browser vendor will now be able to easily plug into the new Selenium IDE. You’ll be able to have your own locator strategy and Selenium IDE plug-in.

New CLI runner - It will be completely based on NodeJS, not the old HTML-based runner, and will have the following capabilities:

WebDriver Playback - The new Selenium IDE runner will be based entirely on the WebDriver.

Parallel execution - The new CLI runner will also support parallel test case execution and will provide useful information like time taken, and a number of test cases passed and failed.

 Looking for the best Selenium IDE Alternative? Checkout CloudQA!

Improved Selenium Grid

Anyone who has ever worked with Selenium Grid knows how difficult it is to set up and configure. Selenium Grid supports test case execution on different browsers, operating systems, and machines providing parallel execution capability.

There are two main elements of the Selenium Grid: Hub and Node.

Hub acts as a server, a central point to control all the test machines in the network. In Selenium Grid there is only one hub which allocates the test execution to a particular node based on capability matches.

Node, in simple words, is a test machine where test cases actually run.

For more details on Selenium Grid, we suggest reading the complete official tutorial on Selenium Grid.

Until now, the setup process of the Selenium Grid has often caused testers difficulties with the connecting node to the hub.

In Selenium 4, the grid experience has become smooth and easy since there will no longer be any need to set up and start hubs and nodes separately. Once you start a Selenium server, the grid will act as both a hub and node.

Selenium provides three types of grid-

Standalone Mode

Hub and Node

Fully Distributed

The new selenium server jar contains everything which is required to run a grid. It has all the dependencies. The new grid also comes with Docker Support. For now, the docker integration doesn’t make use of UNIX domain sockets, so ensure your docker daemon is listening on port 2375.

For more details, refer to - https://github.com/SeleniumHQ/selenium/wiki/Selenium-Grid-4

Better Observability

“Passive observability is the ability to do descriptive tracing.”   – Simon Stewart

Observability, logging, and debugging is no more confined to DevOps now. As part of the upcoming release, the request tracing and logging with hooks will be improved to provide automation engineers a hold on debugging.

Refreshed Documentation

Documentation plays a key role in the success of any project. Selenium docs have not been updated since the release of Selenium 2.0. Meaning, that anyone trying to learn Selenium in the past several years, had to use the old tutorials.

So, naturally, the renewed and up-to-date documentation, which SeleniumHQ promises to deliver us along with the 4.0 version, has become one of the most anticipated Selenium updates within the testing automation community.

Improvements in Selenium 4.0 Alpha version-

ChromiumDriver and DevTools:

In Selenium 3, EdgeDriver and ChromeDriver have their own implementation inherited from RemoteWebDriver class. In Selenium 4 Chromedriver and EdgeDriver are inherited from ChromiumDriver. ChromiumDriver class has predefined methods to access the dev tools. Consider the below code snippet-

The above code creates a session to the given URL and executes javascript to print a message. DevTools is a class which has methods to get a handle on developer options.

DevTools can also be used for performance measurement and get page load time.

Better Window and Tab Management

Selenium 4 now has given the capability to work on two different windows at the same time. This is particularly useful when we want to navigate to a new window(or tab) and open a different URL there and perform some action.

newWindow() method opens a new window or tab based on the WindowType given in its parameter.

Relative Locators

In Selenium 4 alpha version we can also get locators relative to any other locator.

toLeftOf() : Element located to the     left of specified element.

toRightOf() : Element located to the     right of the specified element.

above() : Element located above with     respect to the specified element.

below() : Element located below with     respect to the specified element.

near() : Element is at most 50 pixels     far away from the specified element. The pixel value can be modified.

Full-Screen Snapshot

Now we can take the full page screenshots with getFullPageScreenshotAs() method in the Firefox. But instead of typecasting it to ‘TakesScreenshot’ interface, we need to typecast it to FirefoxDriver instance.

File src = ((FirefoxDriver) driver).getFullPageScreenshotAs(OutputType.FILE);

There might be some more interesting features and improvements, so go ahead and explore!

[ruchirashukla-blog]

Automated or Manual Testing: Keeping the balance Right!

If you are a tester, then you must have had a discussion around automated or manual testing. This is nothing new, and lots of techies have different views around this. Whether you are a big team and already established an automation framework or you are a small team, new to automation, it is always necessary to keep this balance right in order to get maximum efficiency.

Surely automation testing is having the benefits of increasing efficiency, getting faster regressions and thus contributing to timely project deliveries. It also removes the execution of repetitive test cases or regression cases manually and saves a tester’s life.

But before considering automation, there are certain points which you should evaluate. You must have heard a statement “You can not automate everything” which is very true.

Manual testing is required in many cases. In fact the biggest drawback of manual testing itself is its biggest advantage that it requires human intervention! There are certain cases which require human instinct and intuitiveness to test a system. To name a few, these are the following cases where manual testing plays a vital role-

Usability Testing- This is testing an application in the view of how easy or difficult is it to understand. This is to test how interactive the application is to the users who are going to use it. These kind of tests can not be automated and must be performed manually.

UI and UX Testing- UI and UX testing can not be automated and even if you try, it would be only to some extent.Automation scripts can be used to test the layout, css errors and html structure but the whole user experience can not be automated as it is very subjective.

Exploratory Testing- Cem Kaner who coined the term in 1984, defines exploratory testing as – “A style of software testing that emphasizes the personal freedom and responsibility of the individual tester to continually optimize the quality of his/her work by treating test-related learning, test design, test execution, and test result interpretation as mutually supportive activities that run in parallel throughout the project.”

Ad-hoc testing- This is completely unplanned testing which relies on tester’s insight and approach. There is no script ready for this testing and has to be performed manually.

Pros of Automation Testing-

There are certain cases where automation testing is beneficial and can actually reduce the efforts and increase productivity. Let’s have a look-

Regression Testing– Regression cases are mostly repetitive and we can automate them once and execute in a timely manner.

Load Testing– Automation is very much useful in case of load testing. Load testing identifies the bottlenecks in the system under various workloads and checks how the system reacts when the load is gradually increased, which can be achieved by automation.

Performance Testing- Performance Testing is defined as a type of software testing used to ensure whether software applications perform well under their expected workload. Automation is very useful in this type of testing.

Apart from that, the test cases which are repetitive, can be automated. Keeping in mind the above points, you can decide on what, how and why of automation.

What, Why and How of Automation- To maintain a balance between manual and automation can be very tricky at times. I have seen many aggressive managers pushing to automate everything. But is this the best approach?

Before starting to automate, you need to answer these three questions-

1) What needs to be automated?

Let’s first think of what exactly needs to be automated. Here by ‘Exactly’, I mean what part of the ‘requirement’/ ‘feature’/ ‘application’ is a candidate looking for automation. Often the application which is going to be automated is termed as AUT (Application Under Test ).It is quite possible that a part of a feature can be automated and the rest be tested manually.

This requires deep-dive into the feature, it’s test cases and effort which will be required. Sometimes knowing how developer is going to implement that feature plays a vital role in deciding if it can be automated and to what extent.

2) Why automation?

This is very important. Why you need to automate? Is it because it reduces effort and increases efficiency? Or is it because it would benefit in long run? Or is it just conventional? During my tenure as QA I found some managers who aggressively wanted everything to be automated without analysing that it might increase effort and reap no fruit. You might end up asking a few questions to yourself-

Is it a one time requirement and never coming in future? we probably don’t need to automate then.

Is the automation solution complex? Also you need to understand the complexity of an application under test. If automating it leads to building a parallel application itself, there is no point of automation. But there can be a case where the solution is complex but the feature or AUT keeps on changing and development is planned for long term, then you may find automation beneficial in long run.

Time constraint- There might be a time constraint in delivery. At that time manager’s role is very crucial in deciding to invest in automation or go for manual.

Resources and skills of Testing team- This is also an important factor. How many automation engineers are available in the testing team to leverage their bandwidth for AUT? Mostly, for small teams this is the deciding factor to go for automation.

3) How to automate?

This refers to find the solution. The Why and How are co-related. So you might find answering How and get answered for Why and vice-versa.

HOW is to decide how we are going to automate AUT. Do not confuse with AUT or feature as this stands for both if you are going to automate entire application or a small feature. Sometimes for a small application you need not require a full fledged automation framework.

There are various tools available which don’t require coding and can solve the requirement. For eg- TruBot from CloudQA is one such tool which has many handy tools for different types of testing and is very user friendly for small applications.

Apart from that, there are various requirements which can be catered by simply writing a shell script.

A full fledged automation framework is required when AUT is big and there are continuous enhancements going on. At that time, a regression suit can be executed before each feature release and automation can significantly reduce the effort.

Automation framework development requires both coding skills and time, so before jumping into that,a tester should always analyse the ROI (Return On Investment) and then make a plan accordingly.

Also automation gives a sense of confidence that there is maximum coverage of regression tests and existing features are not broken because of new feature addition.

ConclusionLet’s conclude that either only manual or only automation is not the right approach. There should be a balance between both and I hope that above points will be helpful in finding the right balance.Kick start automation of your appl

[shikha-11-22]

Synthetic monitoring tools help measure IT applications to detect their response capability and availability status.

[sreeniuniverse]

De”Code”-ing Automation Testing…

Over the years, the role of software testing has gained a prominent place in SDLC. The major shift towards Agile & DevOps development methodologies has expedited adoption of Test Automation strategies to bring-in speed to meet the quick go to market strategies. Software testing until last two decades was a simple exercise which was performed manually. However, it has become more complex now owing to the emergence of new technologies, platforms, browsers, devices and new development methodologies. Companies in order to meet these complex software testing requirements and to reduce their overall cost and maintenance of test cycles have realized the need to replace their traditional testing approach with Test Automation. But then considering the need of agility and to reduce the dependencies on programming skills from Testers, and to improve the communication between technical and non-technical teams (Business Analysts), slowly Behavior-Driven Development (BDD) evolved from Test-Driven Development (TDD). Writing test cases in a common language led to collaboration efficiency. This increased the demand for Codeless Automation, making it more popular approach.

Codeless Automation – 101

Codeless Automation means automating your tests without really having any knowledge of coding. Testers can visually create automated tests using a drag and drop interface, and run them on multiple browsers and work environments, simultaneously. Some of the popular tools are developed on top of open source solution, Selenium and will require zero effort from the QA team, integrates with the third-party applications, makes building test cases easier than before, monitors your web page performance and will cost less than hiring a manual tester. A few examples are Katalon Studio, CloudQA, Leapwork, Tosca, Perfecto, Mabl, Usetrace, etc.  

For QA teams, Codeless Automation reduces the complexity of writing test scripts, so they can create and execute fully automated test scenarios without coding. For developers, Codeless Automation testing makes test creation and execution substantially faster thereby saving time and focus more on product development and innovation. If automating a test case using Selenium takes a minimum of 6 hours, whereas with Codeless Automation may take only an hour. In addition, some of the Codeless testing tools use AI / ML for automated error classification, self-healing, etc making it the future in DevOps environments.

Codeless Automation workings – how?

Codeless Automation Testing can work on different approaches. The most commonly used are the record and play and creating structured test flow diagrams using drag and drop interface. The testers can edit the scripts created by the tool to best suit their requirements. This enables them to meet the shorter time to market goal.

Codeless Automation Testing Tools:

CloudQA: Easy to use cloud-based tool for creating tests using a visual editor which creates an easily maintainable dynamic test model. With record & playback option, it records the tests and captures all the actions during site navigation. It also enables running tests in parallel across browsers. With high test coverage, it supports data driven testing. It facilitates reuse of test scripts for load testing and synthetic monitoring.

Tricentis Tosca:  It is an enterprise grade continuous testing platform that provides no-code approach for end to end test automation. With support for more than 160+ technologies, Tosca provides robust test automation capabilities with maximum test coverage at ease. Leveraging their AI-driven model-based testing platform, one can accelerate the testing cycle and eliminate the challenges of test automation solutions which relay on strong programming skills.

Katalon Studio: It is known for generating tests automatically. Its recorder facilitates recording tester`s actions on web or mobile application and creates the test scripts. It has built-in framework and predefined test methods to accelerate seamless test script development. With self-healing support backed by AI, it provides capabilities for easy test maintenance. Katalon Studio supports web, mobile and Desktop applications.

Perfecto: It is a cloud-based solution with record and playback ability and built-in integrations to several popular CI servers. It offers a high-speed infrastructure and comprehensive reporting dashboard that is accessible across geographies. It provides scalable solution by having seamless integration to Selenium Grid. It offers ML capabilities to address the object maintenance issues in the test scripts.

Selenium IDE: It is one of the most commonly used record and playback automation testing tool. The test scripts created can be exported to Selenium WebDriver for test execution.  The tool can be extended through plugins.

LeapWork: It is one of the popular solution for no-code test automation enabled by their visual language of flowcharts. With simple, visual building blocks, data driven tests or end to end UI test cases can be created maximizing the test coverage. With intuitive management features and straight forward integration with CI/CD pipeline, it works across all technologies.

Not just limited to these tools, there are several other popular Codeless test automation tools like Ranorex, SimplifyQA, AutonomiIQ, etc available in the market. Codeless test automation being the future to improve test efficiency, reusability, maintainability and agility, there is a substantial increase in the new codeless test automation tools in the market, every day.

Key benefits of Codeless Automation:

The main benefit of Codeless Automation is self-maintenance. Using Artificial Intelligence powered technology which eliminates maintenance time and cost as it automatically monitors changes in the code. It creates a dynamic test model that can be easily updated to reflect the changes. Codeless Testing leverages Machine Learning to self-correct object maintenance issues within code, saving time and cost. Codeless Testing on Cloud allows the team to meet its speed, scalability and collaboration needs throughout the software development life cycle (SDLC). Increased reusability and test coverage make it the best candidate for Agile and DevOps environments.

The Future of Codeless Automation:

Test automation for sure will help in accelerating regression testing, reduction in repetitive testing efforts, but codeless test automation will ensure that we achieve the desired results faster. Codeless test automation is simpler, smarter and better way to automate and drive expected ROI. Care should be taken to identify the right codeless automation tool that supports the technology in which the application is built and make sure it comes with all the required features like cross-browser compatibility, integration with different bug tracking tools, multilingual support, scheduler, etc. that ensures reliable and efficient test automation.

[21twelveinteractivelove]

Tips and steps you need to carry and follow to learn how to become a Full-Stack Automation Engineer.

[thekwandae-blog]

Global Automated Testing Solution Market: Global Industry Analysis and Opportunity Assessment 2019-2024

The Global Automated Testing Solution Market Study that gives a meticulous investigation of the current scenario of the market size, share, demand, growth, trends, and forecast in the coming years. The report firstly introduced the Automated Testing Solution Market basics: definitions, classifications, applications and market overview; product specifications; manufacturing processes; cost structures, raw materials and so on. Then it analyzed the world main region market conditions, including the product price, profit, capacity, production, supply, demand and market growth rate and forecast etc. Companies Profiled in this report includes : Ranorex, CloudQA, TestCraft Technologies, UiPath, SmartBear Software, mabl, BrowserStack, LEAPWORK, Lambda Computing, JetBrains. GET THE INSIDE SCOPE OF THE SAMPLE REPORT @[click here] The research study gives a complete list of all the leading players working in the Global Automated Testing Solution Market. Moreover, the financial status, company profiles, business strategies and policies, along with the latest expansions in the worldwide market have been mentioned in the research study. Research objectives: • To study and analyze the Global Automated Testing Solution market size by key regions/countries, product type and application, history data from 2012 to 2019, and forecast to 2024. • To understand the structure of Automated Testing Solution Market by identifying its various sub-segments. • Focuses on the key Global Automated Testing Solution Market players, to define, describe and analyze the value, market share, market competition landscape, SWOT analysis and development plans in next few years. • To analyze the Automated Testing Solution Market with respect to individual growth trends, future prospects, and their contribution to the total market. • To share detailed information about the key factors influencing the growth of the market (growth potential, opportunities, drivers, industry-specific challenges and risks). • To project the size of Automated Testing Solution Market, with respect to key regions, type [ Cloud-based, On-premises] and applications [ Small and Medium Enterprises (SMEs), Large Enterprises]. • To analyze competitive developments such as expansions, agreements, new product launches and acquisitions in the market. READ DETAILED INDEX OF FULL RESEARCH STUDY AT @ [click here]

In this report you will also find additional deals into key geographical segments of Global Automated Testing Solution Market and deliver details about their current and former share. Ongoing trends, upcoming Challenges, future better regional investments and many other influencing factors have been considered and presented. The regions United States, Europe, China, Japan, Southeast Asia, India & Central & South America have been studied in depth to gain better market penetration and assure exact analysis. Top manufacturers have been given prime importance to make sure their strategies are understood and their position in this particular market can be elucidated. In the end, the report includes Global Automated Testing Solution Market new project SWOT analysis, investment feasibility analysis, investment return analysis, and development analysis. The report also presents a round-up of vulnerabilities which companies operating in the market must avoid in order to enjoy sustainable growth through the course of the forecast period. Thanks for reading this article; you can also get individual chapter wise section or region wise report version like North America, Europe or Asia (China, India, Japan etc) or Oceania [Australia and New Zealand]. Fundamentals of Table of Content: 1 Report Overview 1.1 Study Scope 1.2 Key Market Segments 1.3 Players Covered 1.4 Market Analysis by Type 1.5 Market by Application 1.6 Study Objectives 1.7 Years Considered. 2 Global Growth Trends 2.1 Global Automated Testing Solution Market Size 2.2 Automated Testing Solution Growth Trends by Regions 2.3 Industry Trends. 3 Market Share by Key_Players 3.1 Global Automated Testing Solution Market Size by Manufacturers 3.2 Global Automated Testing Solution Key_Players Head office and Area Served 3.3 Key_Players Product/Solution/Service 3.4 Enter barriers in Automated Testing Solution Market 3.5 Mergers, Acquisitions, Expansion Plans. Get Discount on this report @ [click here]

[cloud-qa-blog]

*Free!* Find #CSS selectors with a #Chrome extension Take help of CloudQA’s free CSS selector picker to click-n-copy unique selector of an element. This is very useful in building reliable test cases for complex #web #apps. Get an invite: https://goo.gl/hG33Ra pic.twitter.com/rTOAubaEUy

*Free!* Find #CSS selectors with a #Chrome extension Take help of CloudQA’s free CSS selector picker to click-n-copy unique selector of an element. This is very useful in building reliable test cases for complex #web #apps. Get an invite: https://goo.gl/hG33Ra  pic.twitter.com/rTOAubaEUy

[glensmith088]

End-to-End Testing in Agile: All You Need to Know – CloudQA

Most applications today are designed with a service-oriented architecture structure. So the application is interconnected with many subsystems that can be outside of the application environment.

If there’s a failure in any of the subsystems, it can cause the entire application to crash.

So to make sure everything is working fine, we need to test the entire flow of an application from start to finish (or end-to-end).

E2E testing mainly serves two purposes:

To test the entire application for major business components such as communicating with the other systems, interfaces, databases, networks, and other applications.

To create a complete production-like scenario and test happy flow, so that we can simulate real-time settings and environment and avoid any application crash.

Why do we need End-to-End testing in Agile?

In each sprint, both the dev and test teams focus on a single service out of all the integrated services used in an application. But there are chances that they missed out on the sub-systems or services that could potentially break.

Therefore, the QA team must make sure that specific changes in a single service don’t affect the entire workflow.

How is E2E testing different from traditional testing?

Traditional testing comprises Unit, Integration, System, and UAT. But End-to-end testing is started after System testing.

Sometimes we get confused between System/Unit/Integration testing and end-to-end testing. But these are quite different.

Here’s a short example for some clarity — let’s assume we have an application with three subsystems:

Search

Order

Payment

In the current sprint, requirement specification changes in the payment subsystem are: Adding new payment options should be visible to the customers.

So as per the requirement, System testing will take care of the functionality related only to the newly added payments option.

But end-to-end testing will have the scenarios starting from Search to Payment (with newly added payment option) with the Order confirmation.

The scope, complexity, and maintenance of E2E testing are higher than that of the Unit and Integration testings.

So while preparing test cases and automation scripts, it’s always better to first understand the application architecture with the complete happy flow so that it will be easy to define the coverage.

Who can perform E2E Testing?

E2E testing should be performed by someone who has in-depth knowledge of application and aware of the product architecture. So apart from QA, a business analyst, client, product owner or even technical manager are good candidates to perform E2E testing.

End-to-end Testing Methods:

Horizontal E2E testing

It works through every phase of business workflow and ensures that the functional requirement document maps with the developed application.

A horizontal end-to-end test verifies each and every workflow through individual applications from start to finish ensuring that each interrelated process works correctly. In general, this type of testing takes place at the end of the release cycle and in a stable environment setup. So with this approach, we can get more coverage on the functional part but it cannot be performed until all release changes are fully implemented.

Vertical E2E testing

This method refers to testing in layers, tests happen in sequential, hierarchical order. Vertical testing used to test each component separately and thoroughly, and it is more part of SDLC. The most common approach to performing this is BDD, TDD, and CI-CD.

The best way to achieve it by performing unit tests for each component and then perform testing on network infrastructure, API integration, and UI layers. So by using this we can get high coverage of testing for the core code. As it can be implemented in stages so easy to find defects respective to each stage.

Steps for End to End Testing Process

These are the steps essential to E2E testing:

Requirements Analysis: Analyze the requirement thoroughly and cover major business components in the E2E workflow.

Environment Set-Up: Set up a test environment keeping the production environment details in mind. Try to make it as similar to the production in terms of software and hardware requirements.

Sub-Systems: Make sure that all the sub-systems are part of E2E flow.

TestCase Design: Design test cases with maximum coverage and add test data to test common user scenarios. Focus on functionality of high priority, and design more elaborate test cases to verify it.

Execution: Execute the entire E2E test suite and then analyze the results. Never forget to run a suite in the proper sequence. If required, execute the E2E scenario in multiple browsers.

Maintain Order: Since E2E testing comprises the entire application, test cases are more complex than functional test cases. Each component of the system has to be tested, which increases failure percentage. Structure and sequence of execution are very crucial in E2E testing. Conduct unit tests and integration tests first to resolve the initial level of errors. Once end to end testing begins, simultaneously run the smoke and sanity tests with high-risk user scenarios.

How to make E2E testing in Agile more efficient:

Try to automate the E2E test cases with maximum coverage.

Keep the E2E automation suite separate from Smoke, Sanity, and BVT.

Execute E2E suite before any sprint release to make sure that the happy flow of the application is working as expected and new changes don’t have any impact on the subsystems of the product.

Integrate the E2E suite with CI/CD pipeline using any tool like Jenkins.

As E2E suites take time to execute so create Jenkins job and schedule it at night so that all the failed test cases can be analyzed in the working hours.

Every so often, E2E does contain some cross-browser and parallel testing too, so in that case, try to take advantage of Selenium Grid with Docker. Use Docker containers for different browsers and execute the test cases in parallel using TestNG.

While running the E2E automation suite, it is required to create an environment similar to production and need to avoid any environment level issue, so to achieve this, you can use Docker containers.

E2E Test Deliverables

The E2E test team will create the following work products:

Test cases with detailed steps for the E2E test suite.

Enterprise test automation framework configured for the application.

Automated test execution reports and defects encountered during the End-to-End test suite.

The requirement traceability matrix will ensure that the entire requirement on the E2E workflow.

Transactional test data generated during test execution.

Documentation and manuals.

Script coding and management standards.

Script Development/Execution tracker.

Functional Issue log tracker.

Workflow diagram of the application.

Ensure maximum coverage with data, process, and the logic behind the functional workflow.

Benefits of end-to-end testing:

Ensures stability and quality of product

Since the application is tested at different layers like data, business, integration, and presentation, it ensures the stability and quality of the application.

Increases Confidence on E2E Business workflow

End-to-end testing increases the confidence in the functional flow and performance before its release as the application is validated across all endpoints for different devices, browsers, platforms.

Frequent Testing Reduces Risks

As the application is tested in every iteration and sprints, it reduces the chances of any major bugs.

Reduces Repetitive Testing Efforts

End-to-end testing reduces the occurrences of frequent breakdowns and thus reduces repetitive testing efforts.

Costs Effective & Less Time

Implementing E2E testing reduces error recurrence in the later stage of product development, so fixing those issues during the early phase of the SDLC saves lots of budgets. As in E2E we make sure of the major business flows so by performing it we can avoid all major issues which can be a blockage for sprint release. Automation of the end-to-end test allows quickly adapt changing business requirements and enhance agility to the testing project.

Conclusion

The objective of end-to-end is to verify system integration with the functional flow. Thus, while testing any application, it is important to note that the user interface or presentation layer is not the only area to be focused but the underlying data, processes, and logic behind the application’s behavior need to be verified too. The connected systems and integrations are equally relevant to assure the quality of the application in terms of frontend, backend, functional flow, and integration. To know more, visit https://cloudqa.io/ or email us at info@cloudqa.io.

[kairostechinc]

Is Selenium the Best Tool for Salesforce Test Automation?

Being free, open-source, and the most popular test automation tool in the world, Selenium WebDriver is the default choice for software testing. But how good is it in testing Salesforce applications? And how does it compare to other Salesforce test automation tools?

Let’s take a quick look.

Salesforce Test Automation: Tools That Can Survive Lightning

Salesforce is an ecosystem where apps evolve quickly. Perhaps this is why Salesforce enables faster iteration of business logic and a hassle-free UI development. In order to achieve this, Salesforce offers a Lightning Design System. Developers can build consistent UI that are easy to change and maintain.

While the Lightning system helps in faster UI development, it also hides element identifiers. But this creates a problem for test automation. That’s because Selenium WebDriver depends on identifying visual elements on a page.

Also, the Lightning web components use Shadow Document Object Model (Shadow DOM) for better compatibility across web browsers. It prevents components from affecting one another but also breaks traditional ways of locating elements on a page. So the beloved Selenium WebDriver, requires a lot of additional work utilities to support Shadow DOM testing.

In addition, Selenium can be faster than the browser’s ability to render. So the dynamic and complex Lightning components like modal pop-up windows may render later than Selenium’s intention to interact with it. Such situations can lead to “false positives” where Selenium falsely reports an exception in interacting with the element. Many testers end-up wasting precious time in order to investigate and fix these trivial issues, driving test automation costs through the roof.

WebdriverIO is a potential alternative to Selenium for test automation of Salesforce applications. Compared to Selenium, WebdriverIO has inbuilt capabilities for identifying Shadow DOM and offers simpler test scripting. However, the testing efforts aren’t reduced significantly—they still need to maintain: test scripts for frequent UI changes, third-party services, integrations, and updates.

Both Selenium WebDriver and WebdriverIO can “survive lightning” albeit at the sacrifice of your team’s time and energy.

CloudQA: The Selenium Cloud for Salesforce that Just Works

CloudQA simplifies test automation for Salesforce applications. Built on the open source Selenium WebDriver, CloudQA augments Selenium to handle complexities like modal window pop-ups, Shadow DOM elements, maintenance, and so on.

Any tester can use CloudQA’s advanced test recorder to generate test scripts and execute with various browsers and data parameters within minutes. If your lightning UI changes often, the Impact Analysis feature can help testers find and update test scripts that are affected by the change in UI in one go!

CloudQA also comes with out-of-the-box solutions for report generation, collaborations, popular third-party integrations, and customer onboarding and support. Schedule your demo to learn more.

This Article source is from : https://cloudqa.io/is-selenium-the-best-tool-for-salesforce-test-automation/

[softexaminer-blog]

New Post has been published on http://www.softexaminer.com/functional-testing-software/

Functional Testing Software

The role of functional testing software is all about quality assurance. By inputting data into programs, you can analyze the output and see what your software has done with the information. Ultimately, you’re checking your program against a number of design documents and specifications to make sure that it does what it is supposed to. One of the 10 best testing software options below will help you to raise your programming to the next level.

The Finest Software Performance Testing Services

If you want to retain users of your software, you have to be sure that it’s running as efficiently as possible. The services below will help you get the most out of your latest programs.

TestingWhiz

image credit: crozdesk.com

It is an end-to-end functional software testing tool that provides you with every possible chance to perfect your programs before you release them to the general public. It’s easy to use, intuitive to get to grips with, and by all accounts, very affordable indeed.

Usetrace

image credit: flamory.com

It is the best option if you intend to deploy your programs in a continuous manner. That’s what makes this software functional testing option perfect for the 21st century with our always-online culture.

Rapise

image credit: g2crowd.com

It is an ideal choice if you want to make sure that your web applications work on different browsers. There’s nothing more annoying for an end-user than when they have to download and install a whole new browser just because you haven’t done your due diligence. Make sure you capture each end-user for good by ensuring that your products are compatible across the board.

SpiraTest

image credit: getapp.com

It offers both manual and automated testing. It is meant to work alongside Rapise to provide a fully inclusive method of bug tracking, project management and software performance optimization.

Sauce Labs

image credit: developers.mobilesystem7.com

This one aims to simplify the process of cross-browser testing to ensure that your products work no matter how they’re accessed by your clients and users. It’s cloud-based, too, so you don’t have to worry about adding yet another set of programs to your server load.

Ubertesters

image credit: ubertesters.com

Ubertesters have made quite the name for themselves as of late. Get hold of in-house or offshore software application testing teams and your product will hit the market in tip-top condition.

Test Odyssey

image credit: ekatechserv.com

This one offers scriptless software performance testing to make sure that you can put your programs through their paces even when you weren’t personally involved in the programming process. This option is perfect for company owners and managers who don’t know even a lick of code.

BlazeMeter

image credit: drupal.org

It allows you to conduct functional software testing sessions by means of cloud-based load testing. You can view and analyze test results in real-time, letting you get straight down to business. It’s compatible with mobile apps and even continuous testing methods so you can make sure that your software is on track at any stage in the development process.

CloudQA

image credit: statnetics.com

This is yet another cloud-based software functional testing option that purports to monitor your application continuously in real-time. This is a vital advantage of many other such testing platforms as you can detect issues before your users get the chance, thus saving you time and loss of reputation as you have the opportunity to fix and optimize your software.

Runscope offers a software application testing platform that makes sure that your APIs are working correctly at all times. It lets you know right away when something has gone awry so you have crucial minutes at your disposal to rectify any performance issues that could negatively affect your users’ experience.

If you want to fully satisfy your end-users, you’ll need to run functional testing software that makes sure that your program’s performance is optimal. Use one of the extremely capable options above and your apps and other software will surpass your wildest expectations. After all, everybody loves a program that does exactly what it says it should and all at the highest speeds.

Whether it’s cloud-based or running from your own computer, functional testing software is vital. Use it and make good software truly great.

[cloudqa-blog1]

The advantage of hiring an expert who is licensed is that they offer the QA testing tools which are suitable to offer the best returns and at the same time enhance the working experience of the people.

[glensmith088]

Case Study - Bright-Interactive

About Bright-Interactive:

Bright-Interactive is award-winning, feature-rich, intelligent digital asset management software that makes managing brand media seamless, whatever the size of the organization.

Customer’s digital files are centrally stored and are secure, searchable, and easily accessible by anyone you choose – fast.

Challenges faced:

As any company Bright-Interactive ensuring the quality of the production the application remained high, i.e. as free from defects as possible. They primarily wanted to eliminate laborious manual testing of the application in staging before pushing code changes to production as manual testing was time-consuming Customers were noticing defects on production. While the team supported a variety of different test automation functions, they never had enough time to invest in automating the User Interface level testing. The team considered Selenium and experimented with it.

The Solution:

Bright-Interactive believes that everyone on the team should be able to write tests and own code quality. Bright-Interactive’s R&D team members analyzed different tools in the market and picked up CloudQA quickly, using it for frontend test automation coverage.

Bright-Interactive was able to create a UI regression suite that gave the team confidence knowing when developers have ‘broken’ existing functionality so they could fix it as soon as possible while allowing them to add, expand, and grow without investing a ton of resources into their UI test automation. The regression test suite is extremely valuable for the app development team as it serves as a safety net they can rely on when they make changes that break things.

Bright-Interactive is now working to leverage CloudQA to not only help with code-coverage but run various test cases in production, thus giving us an app-level production monitoring to mitigate production malfunctions, above & beyond code regressions.

The Results:

Bright-interactive’s team ran for quite some time by doing UI level testing manually. To keep up with customer demands meanwhile, without slowing down their daily releases.

Earlier Bright Interactive would occasionally have a regression at the UI level that forced the team to stop working and go back and fix the issues. Now the team can find the problems quickly and react to them faster, giving them more coverage without slowing down the development pace.

Now with CloudQA they can create tests at a faster pace and can be created by developers and non-developers. Now the quality of the product is maintained, increased in deployment velocity, and greater customer satisfaction. To know more, visit https://cloudqa.io/ or email us at info@cloudqa.io

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