#Software Testing QA

[praxis-app]

Testing and QA is now open for all verified members of the Praxis Discord server!

If you're interested in helping to test the website and would like to be the first to know about the latest features, join us on Discord and we can get you set up with an account in our new testing environment.

As we're still in the very early stages of testing and QA, please bear in mind that Praxis is not yet intended for serious use outside of testing or research purposes.

Invite link to the Praxis Discord

[antheraea]

Flash Was Killed Because It Was Objectively Dangerous

I get it, I get the Flash nostalgia and the fondness for old Flash games. I was big on Neopets before they decided to ruin the art and make all the pets samey paper dolls to play dressup with (completely ruining the point of the far more expensive "redraw" colors like Mutant and Faerie and Desert). I have fond memories of Newgrounds games and I even managed to take a class for a semester in high school where I could learn flash.

But I also remember how terrible it was. And you should too.

Leaving aside all of the issues involving performance and inaccessibility (such as being easily broken by bog-standard browser actions like the back button, and its ability to modify web code AND OS code in real time likely broke a lot of accessibility tech too), Flash was legitimately one of the most dangerous web technologies for the end user. An end-user is you, or more specifically back then, child-you.

According to Wikipedia and its sources, Flash Player has over a thousand vulnerabilities known and listed and over 800 of these lead to arbitrary code execution.

What is arbitrary code execution? That's when someone can just run any commands they want on a machine or program that didn't intend it. A fun way to see this is in this infamous Pokemon tool-assisted speedrun where they manage to get an SNES to show the host's twitch chat in real time. It's not so fun though when it's someone stealing all the files on your computer, grabbing your credentials so they could clean out your Neopets account (yes, really, it was a pretty common concern at the time), and other nefarious works. Also, there was a time where it allowed people to spy on you with your webcam and microphone.

Oh and on top of all of this, Flash had its own "flash cookies", which could not be cleared by ordinary means and thus could be used to track users indefinitely, at least until Adobe slapped a bandaid over it by introducing yet another screen an ordinary person wouldn't know to use. (I assume this is how the infamous neopets "cookie grabbers" worked, so they could get into your account. This is mainly what I remember about using Flash back in the early 2000s lol) So it not only was a "stranger taking over your machine" concern, but a bog-standard privacy concern too, arguably a precursor to our current panopticon internet landscape, where greedy websites would track you because they could and maybe get some money out of it, facilitated by this technology.

When Apple decided to block it, it wasn't out of greed; Steve Jobs cited its abysmal performance and security record, among other issues such as an inherent lack of touchscreen support, and Apple cited specific vulnerability use-cases when blocking specific versions before they nuked it entirely. When Mozilla, who makes Firefox, decided to block it, it's not like they would've gotten money out of doing so, or by offering an alternative; they did so because it is fucking dangerous.

Your ire and nostalgia is misplaced. Flash was not killed by our current shitty web practices that ruin unique spaces and fun games. Flash was killed because both Macromedia (its original developers) and Adobe were incapable of making it safe, if that was even possible, and it was killed after third-parties, in an unprecedented gesture, collectively threw their hands up and said enough.

Well, that and HTML5 being developed and becoming more widespread, being able to do everything Flash can do without being a pox on technology. One could argue that you should bemoan the lack of Flash-to-HTML5 conversion efforts, but that requires asking a lot of effort of people who would have to do that shit for free...and if they have to run Flash to do so, opening themselves up to some of the nastiest exploits on the internet.

Nostalgia is a fucking liar. The games themselves I think are worth having nostalgia over (look, I still find myself pining for that one bullet hell Neopets made and Hannah and the Pirate Caves), but Flash itself deserves none of that, and absolutely deserved to be put in the fucking ground. You're blaming the wrong causes. It was terrible.

(specifics and sources found via its wikipedia page, which has a lot more than is mentioned here. and also my own opinions and experiences back then. lol)

[daisukitoo]

Software QA testing is a form of Hermetic ritual magic.

Many people believe that the purpose of QA testing is to find and fix bugs, which it does in part. But in truth, no software has ever been sufficiently "bug free" to work on real hardware. We mostly pretend that putting lightning in crystals can make thinking boxes, and it works.

The value of QA testing is in its repetition. Thorough QA testing exhausts the expanse of possibility space, allowing the crafter to choose the canonical path. By performing 1,000 repetitions on the "happy path," a groove is worn in reality itself and provides a path for the software to follow. It is also helpful in part to have the belief in fixed bugs reinforcing the effectiveness of the software.

Poorly QAed software attempts to hijack this external belief the way that counterfeit goods and placebos do. So long as no one pokes too closely at the details and their beliefs, the software can continue to work. A doubtful click away from the "happy path" can break poorly QAed software where well-tested software can withstand pressure.

[zvaigzdelasas]

There's probably a viable pathway into career software development by starting as a QA tester - especially if you demonstrate basic proficiency w like python or javascript (node)

[yethiconsulting]

UI Automation Testing: Reducing Manual Efforts and Boosting Accuracy

Introduction:

UI automation testing is a powerful method for reducing manual testing efforts while improving test accuracy and coverage. By automating repetitive tasks, QA teams can focus on more complex testing, leading to faster release cycles and higher software quality.

Automating Repetitive Tasks:

Manual UI testing can be time-consuming and prone to human error. Automating repetitive tasks—like form submissions, button clicks, and navigation—frees up testers to focus on more critical, exploratory testing. Tools like Selenium and Cypress allow you to automate these tasks, ensuring consistency across test runs.

Increasing Accuracy and Consistency:

Automation eliminates the variability introduced by human testers, ensuring the same steps are executed each time, thus improving the reliability of your tests. Automation also enables parallel testing across multiple browsers and devices, enhancing test coverage.

Faster Feedback with CI/CD Integration:

Integrating UI automation testing into CI/CD pipelines ensures that tests run automatically after each code change, providing faster feedback to developers. This helps catch bugs early in the development cycle, reducing the risk of costly errors.

Conclusion:

By automating UI testing, teams can significantly reduce manual efforts, increase accuracy, and accelerate development timelines. This leads to more reliable software and more efficient testing processes.

[qualizeal]

Quality Engineering and Digital Transformation Services - QualiZeal

Our Next Gen Quality Assurance & Engineering Services pave the way for accelerated digital growth. Drive faster time to market and assure success for enterprise software in the connected world.

Visit for more info:

https://qualizeal.com/

[12thwonderindia]

How QA Services Can Reduce Software Development Cost?

While exploring through the constantly evolving software development field, striking the right chord between quality and cost-effectiveness remains an ongoing challenge. Third-party QA services emerge as a strategic solution, not only ensuring high-quality software but also significantly reducing costs throughout the development lifecycle. Explore how our QA services have consistently delivered tangible benefits, optimizing processes and saving both time and money.

Key Points

Early Bug Detection and Resolution: Minimize costs by identifying and resolving bugs during development or testing phases.

Enhanced Productivity: Streamline development processes, identify inefficiencies, and automate repetitive tasks to boost overall team productivity.

Reduced Post-Release Support: Thorough testing before release mitigates defects, reducing the need for extensive post-release support and maintenance.

Improved Resource Allocation: Identify critical issues early, allowing for more efficient resource allocation and preventing firefighting scenarios.

Lower Risks of Security Breaches: Security testing identifies vulnerabilities, preventing potential financial losses and safeguarding your company's reputation.

Enhanced Customer Satisfaction: Deliver quality software that exceeds user expectations, leading to higher customer satisfaction and reduced support costs.

Minimized Rework: Avoid costly and time-consuming rework by ensuring well-defined requirements and building software accordingly from the start.

Investing in QA services is a strategic move that goes beyond bug fixing. By optimizing development processes, improving security, and satisfying customers, companies can make a smart investment that significantly reduces costs in the long run.

Curious to learn more? Visit our website's blog page to read some in-depth details of how QA services can transform your software development journey and lead to substantial savings. Your path to efficient, cost-effective, and high-quality software development starts here! https://12thwonder.com/company/blog/qa-services-cost-reduction-blog/

[ameliajonas24]

Best QA Testing Service | iFlair Web Technologies

Looking For a QA Testing Service?

iFlair provides QA Testing Services for desktop, web, and mobile applications. Deliver the best user experience and reliability with your software.

QA Testing is the process of evaluating and verifying that a software product or application does what it is supposed to do. The benefits of testing include preventing bugs, reducing development costs, and improving performance.

[fugu-in-f]

please, it's hard enough to make sure the software does what it's designed to; accessibility needs to go into design and planning well before QA gets hands on it

we're frequently an afterthought already

A software tester walks into a bar. Runs into a bar. Crawls into a bar. Dances into a bar. Flies into a bar. Jumps into a bar. And orders: a beer. 2 beers. O beers. 99999999 beers. a lizard in a beer glass. -1 beer. "qwertyuiop" beers. Testing complete. A real customer walks into the bar and turns on a screen reader. The bar goes up in flames.

[technology-idea]

Why QA Consulting Companies Are Essential for Scaling Agile Processes

Introduction

Agile methodologies have transformed how software development teams operate by promoting flexibility, collaboration, and rapid iteration. However, scaling agile processes across larger teams or organizations presents unique challenges that require specialized expertise. This is where QA consulting companies come into play. In this article, we will explore why these firms are essential for successfully scaling agile processes.

The Agile Landscape

Agile development emphasizes iterative progress through small increments rather than traditional waterfall methods that rely on extensive upfront planning. While agile offers numerous benefits—such as faster delivery times and improved adaptability—it also requires robust quality assurance practices to maintain high standards throughout the development cycle.

The Role of QA Consulting Companies

Facilitating Agile Adoption: QA consulting companies help organizations transition to agile methodologies by providing training and guidance on best practices. They assist teams in understanding how to integrate quality assurance seamlessly into agile workflows.

Implementing Continuous Testing: Continuous testing is vital for agile success as it ensures that code changes are validated quickly and efficiently. QA consultants implement automated testing frameworks that allow teams to run tests continuously during development cycles—enabling immediate feedback on code quality.

Enhancing Collaboration: Effective communication between developers and testers is crucial in an agile environment. QA consulting firms foster collaboration by establishing clear roles and responsibilities within cross-functional teams—ensuring everyone is aligned on project goals.

Optimizing Test Coverage: As projects scale up in complexity, maintaining comprehensive test coverage becomes challenging. QA consultants analyze project requirements and design tailored testing strategies that ensure all critical functionalities are thoroughly tested.

Providing Expertise in Tool Selection: With numerous testing tools available today, selecting the right ones can be overwhelming for organizations transitioning to agile practices. QA consulting companies leverage their experience to recommend tools that align with specific project needs—ensuring teams have access to the best resources available.

Case Studies

A leading e-commerce platform sought assistance from a QA consulting company during its transition to agile methodologies. The consultants provided training sessions for team members on agile principles while implementing continuous testing practices that significantly reduced time-to-market for new features.Similarly, a large enterprise faced challenges scaling its agile processes across multiple departments due to communication gaps between development and testing teams. By engaging a QA consulting firm, they established clear communication protocols and collaborative workflows—resulting in improved efficiency across all teams involved.

Conclusion

QA consulting companies play an essential role in scaling agile processes by facilitating adoption, implementing continuous testing practices, enhancing collaboration among teams, optimizing test coverage, and providing expertise in tool selection. As organizations strive for agility in their development efforts, partnering with these firms will be critical for achieving success in today’s fast-paced digital landscape.

[primeqasolutions1111]

Could the Netflix App Handle Jake Paul vs. Mike Tyson Fight with Load Testing?

The highly anticipated fight between Jake Paul and Mike Tyson, streamed live on Netflix, was a massive global spectacle. Millions of fans tuned in to see the clash between the social media provocateur and the boxing legend, turning the event into one of the most talked-about sporting moments of the year. But with such a surge in traffic, many users faced streaming issues, buffering, or even app crashes. Ever wondered how Netflix could have avoided these headaches? That’s where load testing comes into play.

What Happens When Apps Can’t Handle Traffic?

Imagine this: as the fight reaches its climax, millions of viewers flood the Netflix app, causing servers to overload. The result? Frustrated users, social media backlash, and tarnished brand reputation. This scenario isn’t just hypothetical; it happens when platforms underestimate traffic spikes during high-demand events. A crash during such a blockbuster event isn’t just a technical failure—it’s a missed opportunity to build trust and deliver an unforgettable experience.

How Could Load Testing Have Helped?

Load testing simulates real-world scenarios by mimicking high user traffic and testing how an app performs under stress. For an event as massive as Jake Paul vs. Mike Tyson, load testing would have helped Netflix identify potential bottlenecks, optimize server capacity, and ensure a smooth streaming experience for millions of users. By analyzing performance metrics like response time and error rates during testing, developers could have addressed weaknesses well before fight night.

Why Load Testing Matters for Apps Like Netflix

For streaming platforms, every second of downtime during a live event translates to dissatisfied users and potential revenue loss. Load testing ensures your app is ready to handle the surge in traffic, even during record-breaking events like this fight. Platforms like Netflix can maintain reliability, build user loyalty, and avoid the embarrassment of app crashes during peak moments.

Don’t Let Your App Tap Out

The Jake Paul vs. Mike Tyson fight was proof of how crucial performance is during high-stakes events. Load testing isn’t just a precaution—it’s a necessity for platforms that expect massive traffic. Whether you’re hosting a blockbuster fight, launching a new feature, or running a global event, make sure your app can handle the pressure.

Ready to ensure your app performs like a champion? Let PrimeQA Solutions help you prepare for peak demand with expert load testing services.

[vijayashree4400]

Revolutionizing Software Testing with AI-Driven Quality Assurance 

The pressure to release high-quality software at speed is a growing challenge for development teams. With traditional manual testing often slowing down release cycles, it's no surprise that over 50% of software teams report delays in product releases due to inefficient QA processes. As demand for faster, more reliable releases increases, organizations are turning to AI-driven testing to stay ahead. Gartner predicts that by 2025, 75% of companies adopting DevOps will incorporate AI into their testing strategies to improve efficiency and product quality. 

AI-driven QA transforms how we approach software testing. By leveraging machine learning and predictive algorithms, testing allows to be more adaptive, efficient, and intelligent—automatically identifying potential defects before they reach production and continually improving with each release. This proactive approach not only accelerates release cycles but enhances software quality, ensuring that issues are addressed earlier in the development process. 

Today, we'll explore the role of AI in revolutionizing QA, examining the technologies behind it and the best practices for implementing AI-driven testing in your organization. 

Understanding AI in QA  

AI is changing Quality Assurance (QA) by making testing faster and smarter. Unlike traditional QA, which depends on manual work, AI uses technologies like machine learning (ML), natural language processing (NLP), and predictive analytics to improve the testing process. 

Machine Learning (ML): AI learns from past test results to predict where issues might happen and prioritize tests. 

Natural Language Processing (NLP): AI can read and understand requirements or bug reports to automatically generate test cases or spot problems. 

Predictive Analytics: AI looks at past data to identify high-risk areas of the software that need more attention during testing. 

Automated and Self-Healing Tests: AI can adjust test scripts automatically when the software changes, reducing manual work. 

Key Components of AI-Driven QA Transformation 

For a successful AI-driven QA transformation, organizations must integrate several essential components into their testing ecosystem. These components work together to ensure that AI-powered testing is efficient, scalable, and impactful: 

1. Data Quality and Availability 

AI thrives on data. To effectively implement AI in QA, organizations must ensure the availability of high-quality historical data—test results, bug reports, code changes, and other relevant information. This data feeds machine learning algorithms, enabling them to identify patterns, predict failures, and optimize testing processes. The more comprehensive and accurate the data, the better the AI system will perform. 

2. Advanced Testing Frameworks 

AI-driven testing frameworks are critical for integrating machine learning and other AI technologies into your QA process. These frameworks help support automation while incorporating AI-driven capabilities such as adaptive test case generation and predictive analytics. Examples include tools like Test.ai, Appvance, and the use of AI-enhanced frameworks like Selenium combined with machine learning models. 

3. Collaboration Between Teams 

AI adoption in QA is not a solo effort. Successful transformation requires a close-knit collaboration between QA engineers, developers, and data scientists. Developers provide insights into code changes, while data scientists help build the machine learning models. QA engineers ensure the AI models are working correctly and refine them to improve their effectiveness. A collaborative approach maximizes the value AI brings to the QA process. 

4. Real-Time Monitoring and Feedback Loop 

AI systems continuously learn and adapt, so having a real-time monitoring system is essential. This allows AI models to gather data from ongoing tests, assess the results, and refine their predictions based on the feedback. Regular monitoring ensures that AI-driven QA processes evolve over time, becoming more accurate and efficient with each testing cycle. 

Best Practices for AI-Driven QA Transformation 

To successfully adopt AI in your QA processes, here are some best practices that will help you optimize the implementation and achieve the desired results: 

1. Start Small, Scale Gradually 

AI-driven QA can initially seem overwhelming, so it’s advisable to start small. Begin by integrating AI in specific areas such as regression testing, defect prediction, or automated test case prioritization. This will allow your team to gauge the effectiveness of AI without a large upfront investment. Once you see tangible results, gradually scale the AI implementation to more areas of testing. 

2. Invest in Training and Skill Development 

For AI to be fully effective, the team must be properly trained. QA engineers, developers, and data scientists need to understand how machine learning models work, how to interpret AI-driven results, and how to integrate AI tools with existing testing workflows. Ensuring that your team is up-to-date on the latest AI techniques and tools will set the foundation for success. 

3. Ensure Data Integrity 

AI models are only as good as the data they’re trained on. Ensuring that your data is clean, consistent, and comprehensive is crucial. Regularly audit and refine your data sources to avoid issues like incomplete or inaccurate test data, which could hinder the AI’s ability to predict and optimize effectively. 

4. Monitor and Fine-Tune AI Models 

AI-driven QA is not a set-it-and-forget-it solution. Continuous monitoring and tuning are required for optimal performance. As new test cases and code changes arise, AI models must be fine-tuned to ensure they adapt to these changes and continue to provide accurate predictions. Regular evaluation of AI performance will help identify areas for improvement and ensure your testing processes stay up to date. 

5. Maintain Human Oversight 

While AI can automate a significant portion of the testing process, human expertise is still essential. AI can handle routine testing tasks, but complex scenarios and unexpected issues still require human intervention. Ensuring that AI complements, rather than replaces, human testers will allow for better judgment and decision-making throughout the testing process. 

Conclusion 

AI-driven Quality Assurance is revolutionizing the way we test software, making it faster, more intelligent, and efficient. By leveraging machine learning and automation, organizations can boost test coverage, enhance software quality, and shorten release cycles. Successful implementation requires quality data, careful planning, and strong collaboration. As AI evolves, it will continue to make testing more adaptive and powerful, helping businesses meet the challenges of modern software development. 

At Testrig Technologies, we specialize in AI/ML testing services that optimize software quality and performance. By utilizing machine learning models and AI-powered automation, we assist organizations in improving test coverage, speeding up release cycles, and identifying issues with greater precision. 

[fugu-in-f]

I love breaking things in new and exciting ways

I'm so good at it I get paid real well to do just that

And when that's your job,

You learn REAL QUICK that nobody knows what they're doing

and nothing is adequately documented

And it all runs on spit and dreams and half an ass cheek and some anal gremlin that cares entirely too much about specificity

You be that goblin

invent a bigger idiot-

just write that shit down

impostor syndrome: Oh no what if they can all tell that I'm an idiot who's not even supposed to be here, this is terrible. goblin mode: I am the idiot that they use to test whether something's idiot-proof, and boy is this place not up to code.

[zitintechnologies]

Our comprehensive testing services refine IT recruiting, ensuring only the most qualified candidates make it through. Quality talent, zero compromises.

Precision in IT recruiting starts with thorough testing. Our assessments reveal top talent, guaranteeing your team is built on skill, reliability, and excellence.

[ganesh0609]

Mobile Application Development

This new chapter in the world of the Internet is overtaking other, more traditional, forms of Web Development. The real magic is in creating apps that predict users’ behaviours, making smart decisions based on data.

[yethiconsulting]

Best Practices for Test Management in a Continuous Integration/Delivery (CI/CD) Environment

Introduction

Start by explaining the role of Continuous Integration (CI) and Continuous Delivery (CD) in modern software development. Emphasize that effective test management is crucial to maintaining quality in fast-paced, automated pipelines.

Early and Continuous Testing

Implement testing at every stage of the CI/CD pipeline, starting from the earliest phases. Unit, integration, and functional tests should be run continuously to catch defects early.

Automation Integration

Test automation is vital for CI/CD environments. Ensure that all repetitive tests, such as regression tests, are automated. Use tools like Selenium, Jenkins, and Travis CI to integrate automated tests into the pipeline.

Effective Test Case Management

Organize test cases in a way that they can be easily maintained and executed in CI/CD pipelines. Regularly review and update test cases to ensure they are relevant and up-to-date.

Use of Test Management Tools

Leverage test management tools like TestRail or Zephyr that integrate with CI/CD platforms. This ensures seamless tracking, reporting, and scheduling of tests within the automated process.

Monitoring and Reporting

Set up real-time monitoring and reporting for continuous feedback on test results. This helps in quickly identifying issues and improving collaboration between developers and QA teams.

Conclusion

Summarize by stating that efficient test management in a CI/CD environment enhances the speed and reliability of software delivery while maintaining high-quality standards.