#automation test

[woodjessica123-blog]

What are the Pros and Cons of Automation Testing?

Pros of automation testing:

Effective collaboration is established by developers: Collaboration between developers can be made more effective through the tactical use of automated testing platforms. When a suite of computerized tests are put in place, developers can focus and work on other key testing activities

Increased efficiency: Developer productivity can be increased by automating tasks. For example, the results of your automated tests can be automatically executed and monitored by configuring your continuous integration (CI) system. This shows that there is an increase in efficiency toward scaling the testing and development process.

Enhanced scalability: Automated testing can be easily scaled to accommodate evolving testing requirements and growing software projects. Whether it’s adapting to changes in the application, integrating with other tools or adding new test cases, automated testing frameworks offer the scalability and functionality to meet the varied requirements of the software development process.

Leveraging speed and efficiency: There can be many test cases that can be easily executed by the automated testing company and that too in just a few seconds or minutes. This will in turn ensure rapid feedback loops, so that the issues can be identified and rectified promptly by developers. This will in turn help in optimizing the process of software development life cycle.

Cons of automation testing:

Manual testing cannot be replaced completely: There will be many scenarios in the testing and development realm, wherein automated testing cannot be completely replaced by the manual testing. This is because exploratory testing, ad hoc testing and user acceptance testing that are manual testing techniques play a crucial role in the software development and testing process.

The issue with maintenance overhead: Regular updates are required by the automated test scripts platform in order to make them effective and relevant.

The cost of setting up automated test environments are quite high: The initial costs to set up an automation testing environment are quite high and hence expecting Return on Investment in the early stages of testing and development would be futile.

The issue with false positives / negatives: False positives or negatives can be produced by the automated testing platform, which, in turn, leads to inaccurate test results.

[minhphong306]

[Learning logs - Appium] Lịch sử phát triển

Appium project history Appium ra đời khoảng năm 2012, dưới thời của các cá nhân và tổ chức khác nhau, đến nay đã phát triển trên 3 ngôn ngữ. Bài này nói về lịch sử Appium. Continue reading [Learning logs – Appium] Lịch sử phát triển

[k0libra]

RK800 #313 248 317 - 00

[bastart13]

Godddd, I am so close to being done with season 2 of love and legends!

[muratandalina]

Test animation: Fluffy

(He wants to say hi :D)

[smute]

collecting valuable personal data from applicants is not enough. no. they also want you to train their shitty chatbots for free

[abathurofficial]

Abathur

At Abathur, we believe technology should empower, not complicate.

Our mission is to provide seamless, scalable, and secure solutions for businesses of all sizes. With a team of experts specializing in various tech domains, we ensure our clients stay ahead in an ever-evolving digital landscape.

Why Choose Us? Expert-Led Innovation – Our team is built on experience and expertise. Security First Approach – Cybersecurity is embedded in all our solutions. Scalable & Future-Proof – We design solutions that grow with you. Client-Centric Focus – Your success is our priority.

[tchaikovskym]

stats prof: biggest projects of mine have 600+ lines of R code for statistics

me with my 2k+ lines of code for my thesis that exist just because i did not know you could define functions there and copy pasted the long code for different variables all the time and only learned how to make functions from chatgpt today: um

[arkon-z]

Today's mood:

Satisfaction - I assembled a folding table cart by myself with no major issues!

Mild frustration - my work email migrated or upgraded or integrated or did some other enterprise level upgrade (shows how much attention i was paying in the info meeting) and it broke all my email rules. Outlook users might think I'm being extra, but I get upwards of 700 emails every day, and I'd drown without rules.

Amused Puzzlement - I have the will to write again, but my brain has a sense of humor because it's currently just shipping. Maybe the novelty of it is what's giving me the drive.

[woodjessica123-blog]

How Automation Testing Services are Revolutionizing Software Quality

Automation testing services are proving to be an effective and worthy resource for carrying out software development activities rewardingly.

Release cycles are accelerated, product quality is improved and efficiency is enhanced through the tactical implementation of automation testing.

Software quality can be greatly improved through the strategic use of test automation platforms. In this article, you will learn how software quality is leveraged through automated testing.

What is automation testing?

It is a testing method that uses scripts and tools so that the test case execution process can be automated. Following are a few key points that describe automation testing:

l Quick feedback: When regression testing is automated, immediate feedback is received by developers on code changes, allowing for quicker resolution and bug identification.

l Enhanced accuracy: Reliable and consistent testing results can be ensured as human errors are minimal

l Increased test coverage: More tests are run through the automated test platform, which, in turn, leads to a more thorough and comprehensive evaluation of the software

l Repetitive testing: Automated tests are run continually without any manual intervention thereby saving resources and time.

Following are a few key factors that depict how software quality is enhanced through the tactical implementation of automation testing services:

1. Faster time-to-market: The testing process is expedited by the automation platform, which, in turn, helps in releasing features and software updates more quickly.

2. Costs are reduced: Though the initial cost of setting up an automation test platform is quite high, but, in the long run, the test automation platform can be leveraged and thus yield a better ROI. Automation testing services provide increased efficiency, speed of execution and high-quality outcomes.

3. The effectiveness factor: Automation testing provides a streamlined and effective testing platform. This in turn helps in saving the time of software testers. These testers can focus their efforts on other crucial testing tasks that require manual intervention.

4. Improved software quality: When human error is minimized and testing coverage is expanded, potential issues can be identified and addressed in the development cycle. This in turn leads to a reliable and robust final product.

5. Developer’s confidence is improved: Developers can check code changes and keep track of continuous feedback, which, in turn, helps them to work in an even better manner.

6. Worthwhile testing environments: Consistent testing environments are created by the automation testing platform, which, in turn, leads to dependable test results.

7. Leverages continuous testing: Regular and rapid software updates can be easily done as tests can be continuously executed.

The future of automation testing services:

With continual advancements in technologies, tools and frameworks, the platform of automation testing services is going to be even more demanding in the near future because of its outstanding functionalities. Upon that, the platform of Artificial Intelligence (AI) and Machine Learning (ML) is also proving to be a prominent technology in the software testing and automation domain.

AI/ML helps in predicting outcomes, enabling software so that it can learn from the available data and hence make decisions autonomously. The accuracy of test results is enhanced and testing cycles are fastened. Quantum computing can be integrated into automation testing services, which, in turn, helps in handling complex simulations and calculations.

Continuous testing is emphasized by DevOps culture where automation testing plays a significant role in enabling frequent code releases without the quality being compromised. The software testing team should embrace new tools and methodologies. With the advent of automation testing services, the capabilities of software testers can be augmented. High value is ensured by leveraging automation technologies.

Conclusion: If you are looking forward to conduct automation testing for your software product, then do visit online a leading software testing services company that will provide you comprehensive methodology in order to implement automation testing successfully.

About the author: I am a technical content writer focused on writing technology specific articles. I strive to provide well-researched information on the leading market savvy technologies.

[koko2unite]

i bought new glasses, but i think the prescription is completely wrong, everything feels wobbly, but i checked the card they gave to me and its correct based on the eye test i did with them. they should've never trusted me to say if the test is correct or not

[softwaredevelopmenthub25]

DevOps as Service

2. PROCESS IMPLEMENTATION

We proceed with the analysis, design, building, automation, and implementation in the specified areas.

[precisiotech]

Automated Testing vs. Manual Testing: Which One is Right for Your Project?

Achieving high-quality, reliable software stands as a fundamental requirement in software development. Successful testing functions as an essential tool to discover faults and build performance capabilities that create better user experience outcomes. Two main testing methods dominate the field: automated testing and manual testing. The process of quality software assurance uses different testing approaches that demonstrate their own advantages as well as weaknesses according to specific project requirements and scenarios. We will explore the specifics to determine which testing process works best for your system development efforts.

1. What Is Manual Testing?

Manual testing involves a human tester manually executing test cases without using automation tools. Key Characteristics:

The methodology focuses its efforts on user interface together with usability and experience testing.

Human-centered applications where selection requires discretion include ad hoc testing and enumerative testing as well as examinations that need human evaluation.

Human performers are required during this approach; thus, it demands substantial time.

2. What Is Automated Testing?

Software performing automated testing executes test cases through workflows and helpers. Key Characteristics:

Efficient for repetitive and regression testing.

Users must spend money on tools along with developing custom scripts for testing.

Reduces human error.

3. Advantages of Manual Testing

Human Intuition: Software testing professionals can detect kernels through their human cognitive ability that automated tools cannot match. The observation and evaluation of visual elements runs more efficiently through human operatives instead of advanced tools.

Flexibility: This method suits exploratory testing specifically because there are no pre-determined scripts available.

Low Initial Investment: Running this approach does not need tool purchases or applications to develop automation frameworks.

Adaptable for UI/UX Testing: Running this approach does not need tool purchases or applications to develop automation frameworks.

4. Advantages of Automated Testing

Speed: Executes repetitive tests much faster than humans.

Scalability: The system proves most effective for extensive projects that need constant system updates.

Accuracy: When performing recurring actions, automated systems minimize the chances of human mistakes.

Cost-Efficient in the Long Run: Once established and implemented, the system demands costly investments but ensures continuous development expenses decrease over time.

Better for CI/CD Pipelines: Such testing technology connects various development pipelines that support agile and DevOps methodologies.

5. Disadvantages of Manual Testing

Time-Consuming: The manual performance of repeated tests leads to delayed completion of projects.

Error-Prone: Large applications contain tiny bugs that human testers commonly fail to detect.

Not Ideal for Scalability: The process of increasing manual testing needs additional testers to avoid cost escalations.

6. Disadvantages of Automated Testing

Initial Costs: Organizations must provide high financial resources to procure testing tools together with developing programming constructs.

Limited to Pre-Defined Scenarios: These testing approaches work poorly for handling exploratory or ad hoc testing.

Requires Maintenance: Test scripts need frequent updates when application changes occur.

Not Suitable for UI/UX Testing: Struggles with subjective user experience evaluations.

7. When to Use Manual Testing

Small Projects: The testing method proves beneficial at a low cost for small applications and provides quick assessments.

Exploratory Testing: Testing this approach benefits projects whose scripts have not been defined yet or need evaluation for newly added features.

Visual and Usability Testing: Performing assessments on interface components together with design features.

8. When to Use Automated Testing

Large Projects: Handles scalability for projects with frequent updates.

Regression Testing: Program testing becomes more efficient through automation since automated assessments perform multiple tests following each update process.

Performance Testing: The system performs efficient capabilities to conduct load testing and stress testing.

Continuous Development Environments: Agile progression and DevOps implementations need automation as a core requirement.

READ MORE- https://www.precisio.tech/automated-testing-vs-manual-testing-which-one-is-right-for-your-project/

[orbit-consultancy]

Innovative Solutions in Surface Science: Precision Measurements for Enhanced Formulations

At Orbit Research Associates, we provide specialized analytical services in Surface and Interfacial Tension as well as Critical Micelle Concentration (CMC), helping industries optimize formulations, enhance performance, and innovate with confidence.

Our measurements are carried out using advanced instrumentation from KRÜSS, a global leader in interfacial science. We offer multiple techniques to suit different application needs:

🔹 Pendant Drop Method (DSA100 - Drop Shape Analyzer)

This optical technique involves analyzing the shape of a droplet suspended from a needle to determine surface or interfacial tension. The curvature of the droplet is related to the balance between gravity and surface forces, providing highly accurate results that are ideal for dynamic studies and small sample volumes.

🔹 Wilhelmy Plate and Du Noüy Ring Methods (K20 - Force Tensiometer)

These classical force-based methods involve immersing a thin plate (Wilhelmy) or a platinum ring (Du Noüy) into a liquid and measuring the force required to detach it. These techniques are particularly suited for measuring static surface tension with high reproducibility and are widely used in quality control and formulation studies.

🔹 Critical Micelle Concentration (CMC)

CMC analysis reveals the concentration at which surfactant molecules begin to form micelles, a key factor in formulating detergents, emulsifiers, and dispersants. Knowing the CMC helps in optimizing surfactant efficiency and cost-effectiveness in formulations.

Our data-driven approach ensures you receive accurate, application-specific insights—whether you're developing paints, coatings, cosmetics, pharmaceuticals, or petrochemical products.

💡 With Orbit Research, you're not just getting measurements—you’re getting scientific clarity that helps you make smarter decisions and elevate your product performance.

Partner with us to harness the power of surface science for innovation and success.

If you have any queries, please feel free to contact us.

Website: www.orbitind.com | orbit research.co.in

Contact number: 011 – 42420858 | 45578977

Email: info@orbitind.com

[qualityassurance11]

Best Practices for Successful Automation Testing Implementation 

Automation testing is an essential part of modern-day software development that accelerates delivery, reduces manual work, and improves software quality. But success in automation testing is not assured, it should be achieved by proper planning and execution along with proper compliance of best practices. 

In this blog, we will talk about key actionable strategies and best practices to ensure the successful implementation of automation testing in your projects. 

1. Start with a Clear Strategy 

Jumping straight into automation testing without a clear strategy will not always yield the desired results. Define the following: 

Objectives: Define the goals of the automation, whether it is about shorter test cycles, improved test coverage or eliminating human error. 

Scope: Set the areas of your application for automation and focus much on areas that have a high impact like regression and functional testing. 

Stakeholders: Get early involvement from the development, QA and product teams to avoid misalignment regarding expectations. 

A well-formed strategy helps guide the way and make sure everyone involved is aligned. 

2. Prioritize the Right Test Cases for Automation 

One of automation testing’s biggest mistakes with it is to use automation for everything. Rather than that, shape your test cases to that of: 

Are monotonous and time-consuming. 

Wherein critical for application functionality 

Have stable requirements. 

Some of these tests are regression tests, smoke tests, data-driven tests, etc. Do not automate the exploratory or highly dynamic tests that often get changed. 

3. Choose the Right Automation Tools 

The effectiveness of your automation testing initiative highly relies on appropriate tools selection. Look for tools that: 

Support the technology stack of your application (e.g., web, mobile, APIs). 

Give the flexibility to expand your project. 

Offer extensive reporting, reusability of scripts, and run across browsers. 

GhostQA is one example of a codeless platform that works well for teams across the skill set. GhostQA can let you focus on what matters and Auto Healing reduces your maintenance to enforce. 

4. Build a Strong Automation Framework 

An automation framework is the backbone of your automation testing process. It helps in standardization, reusability and scalability of test scripts. So, when you start designing your framework, make sure to leave some room for these features: 

Modularity: Split test scripts into reusable components 

Data-Driven Testing: Use Data-Driven Testing to separate test data from the scripts to provide flexibility. 

Error Handling: Install anti-malware solutions to prevent potential threats. 

A good framework streamlines collaboration and makes it easier to maintain your tests. 

5. Write High-Quality Test Scripts 

A good test script decides the reliability of your automation testing. To ensure script quality: 

When naming scripts, variables, or methods, use meaningful and descriptive names. 

For adaptability, you should leverage parameterization instead of hardcoding these values. 

Set up appropriate error-handling procedures for handling unforeseen problems. 

Do not add anything unnecessarily, the more complexity, the more difficult it is to debug and maintain. 

Tools such as GhostQA minimize the efforts put behind scripting providing no-code possibilities allowing even non-technical users to write robust tests. 

6. Regularly Maintain Your Automation Suite 

Even though automation testing is a great way to ensure quality in applications, one of its biggest challenges is keeping the test scripts updated with application changes. Keeping your test suite effective and up to date, regular maintenance. 

Best practices for maintenance include: 

Frequent Reviews: Conduct periodic audit of the test scripts to ensure that they are not outdated. 

Version Control: Utilize version control systems to maintain history of your script modifications. 

Auto-Healing Features: GhostQA and similar tools can track UI updates and modify scripts to reflect changes with little to no human intervention, minimizing maintenance costs. 

Take good care of your automation suite so that it doesn't become a liability. 

7. Address Flaky Tests 

Flaky tests—tests that pass or fail randomly—are a common issue in automation testing. They reduce trust in test results and take up time when debugging. To address flaky tests: 

Dig deeper into what might be the underlying causes — timing problems or dynamic elements. 

Use explicit waits instead of static waiting in tests to make them aligned with application behavior. 

Prefer smart detection-based tools (GhostQA, to be precise) to eliminate the chances of flaky tests. 

This translates into flourish as flakiness and is the most significant impact in strengthening confidence in your automation framework. 

8. Ensure Cross-Browser and Cross-Platform Compatibility 

Most modern applications work across many browsers and devices, so cross-compatibility testing is a necessity. Your automation testing suite must: 

Add test cases for popular browsers like Chrome, Firefox, Edge, and Safari. 

Testing across different operating systems on mobile (e.g., iOS/Android). 

GhostQA abstracts cross-browser and cross-platform testing so you can verify functionality in several types of environments without repeating yourself. 

9. Leverage AI and Smart Automation 

AI is revolutionizing automation testing with better efficiency and lesser maintenance cost. Next-generation tools like GhostQA powered by AI offer: 

Auto-Healing: Automatically adjust to any changes made to the app;such as modified UI elements 

Predictive Analysis: Showcase areas with the most potential high risk to prioritize tests. 

Optimized Execution: Run just the tests that yield the most performance insights. 

Use AI-Powered Tools as these can help you to increase the efficiency and accuracy of your testing. 

10. Monitor and Measure Performance 

To measure the effectiveness of your automation testing, you should track key metrics that include: 

Test Coverage: Number of automated tests covering application features. 

Execution Time: Time taken to execute automated test suites. 

Defect Detection Rate: Number of bugs detected in automation testing 

Flaky Test Rate: Frequency of inconsistent test results. 

Consistent assessment of these metrics helps in discovering the areas of improvement in your automation efforts while also exhibiting the ROI of the same. 

Conclusion 

So, the right approach of selecting the right tool and plan properly will help to do a successful automation testing implementation. This could be achieved by adopting best practices like prioritizing test cases, maintaining test scripts, making use of the AI-powered tools and collaborating with other stakeholders in the process. 

Tools like GhostQA, which come equipped with codeless testing, auto-healing features, and user-friendly interfaces, empower teams of both technical and non-technical backgrounds to streamline their automation processes and devote their attention to shipping quality software.