#ai in testing

[yethiconsulting]

AI-Powered Test Automation: The Future of Software Quality Assurance

AI is transforming software quality assurance (QA) by making test automation more intelligent, adaptive, and efficient. Traditional test automation relies on predefined scripts, which require constant updates when software changes. AI-powered testing, however, leverages machine learning and intelligent algorithms to automate and optimize testing processes with minimal human intervention.

How AI Enhances Test Automation

Self-Healing Test Scripts – AI detects UI or code changes and updates test scripts automatically, reducing maintenance effort.

AI-Driven Test Case Generation – AI analyzes historical data and user behavior to create optimized and risk-based test cases.

Smart Test Execution – AI prioritizes test cases based on application changes, improving test efficiency.

Defect Prediction & Root Cause Analysis – AI-powered tools analyze patterns and predict potential failures, enabling proactive debugging.

Intelligent Visual Testing – AI can detect UI inconsistencies and layout issues across multiple devices and platforms.

The Future of AI in QA

AI will continue to evolve, integrating with Robotic Process Automation (RPA), Natural Language Processing (NLP), and predictive analytics. By reducing manual effort and increasing test accuracy, AI-powered test automation is shaping the future of software quality, enabling faster releases and more reliable applications.

[jonah-miles-smith]

Intelligent Test Data Generation and Anomaly Detection in Performance Testing: Revolutionizing Software Testing Services

In the rapidly evolving world of software development, ensuring that applications perform optimally under different conditions is critical to user satisfaction and business success. Performance testing plays a central role in this process, helping teams identify potential bottlenecks and issues before they affect real-world users. However, as applications become more complex, traditional performance testing methods are no longer enough. Enter the next generation of performance testing: Intelligent Test Data Generation and Anomaly Detection.

What is Intelligent Test Data Generation?

Test data is an essential component of performance testing. In traditional testing, developers and QA teams manually create or select datasets to simulate user behavior under different load conditions. While effective, this approach can be time-consuming, error-prone, and often lacks the realism needed to uncover subtle performance issues.

Intelligent test data generation refers to using advanced techniques such as artificial intelligence (AI) and machine learning (ML) to automatically generate realistic and diverse test data. This data mimics real user behavior and interactions, making the testing process more efficient and accurate.

By leveraging AI-powered tools, performance testing teams can create large volumes of data that are representative of various real-world scenarios. These intelligent systems can account for patterns in user interactions, behavior variability, and even rare edge cases that might be missed in traditional testing. With automated and intelligent data generation, software testing services can save time and resources while improving test coverage and accuracy.

Benefits of Intelligent Test Data Generation in Performance Testing

Realistic Data Simulation: AI-based systems generate data that closely mirrors actual user interactions, offering a more realistic testing environment. This enables teams to test performance more effectively under typical and extreme scenarios.

Scalability: Intelligent data generation systems can quickly create large datasets that reflect high-traffic environments, ensuring that performance tests can handle the volume and scale of real-world user interactions.

Diverse Test Scenarios: By analyzing user behavior patterns, these systems generate varied datasets, ensuring comprehensive testing that covers multiple user personas, network conditions, and geographic locations.

Faster Testing Cycles: Automating test data creation speeds up the overall testing process. This is particularly valuable for teams working in Agile and DevOps environments, where time-to-market is critical.

Anomaly Detection in Performance Testing

While intelligent test data generation improves the realism and scope of performance tests, detecting performance anomalies during testing is equally vital. Anomaly detection refers to the process of identifying unusual patterns or outliers in test results that may indicate underlying issues with the system’s performance.

Traditionally, performance testers relied on manual monitoring or simple threshold-based methods to identify issues during load testing. However, these methods often fail to detect complex anomalies or subtle degradation in performance, especially in large-scale or distributed systems.

Today, AI-driven anomaly detection is transforming the way performance issues are identified. By analyzing vast amounts of test data in real time, machine learning models can automatically detect deviations from expected performance, helping teams spot problems faster and more accurately.

How Anomaly Detection Works in Performance Testing

Baseline Performance Modeling: AI systems create a baseline model of normal system behavior by analyzing historical performance data, such as response times, error rates, and resource utilization. This model acts as a reference point for detecting anomalies.

Real-Time Monitoring: During performance tests, the system continuously monitors performance metrics and compares them to the baseline model. Any significant deviation triggers an alert, allowing testers to investigate the issue.

Pattern Recognition: Machine learning algorithms can identify patterns that human testers might overlook. For example, they can detect slow memory leaks, unexpected spikes in database queries, or fluctuating network latencies that only occur under specific conditions.

Root Cause Analysis: AI systems can not only detect anomalies but also provide insights into the potential causes of performance degradation. This helps development and operations teams resolve issues more effectively.

The Role of Software Testing Services in Performance Testing with AI

Software testing services are at the forefront of adopting and implementing these advanced technologies in performance testing. With AI-driven tools for intelligent test data generation and anomaly detection, these services can provide more accurate, comprehensive, and efficient performance testing solutions for businesses.

Custom Solutions: Software testing services can tailor test data generation strategies to suit the unique needs of a business, ensuring that the generated datasets cover all potential user scenarios, including edge cases that could impact performance.

Faster Feedback: By leveraging automated anomaly detection, testing teams can identify issues in real-time, accelerating the feedback loop and helping developers resolve performance bottlenecks faster.

Scalable Performance Testing: AI-powered tools help software testing services simulate real-world traffic at scale, ensuring that applications can handle high loads and perform optimally even during peak usage times.

Cost-Efficiency: Automating test data generation and anomaly detection reduces manual intervention, leading to cost savings. Software testing services can offer more value by providing faster and more accurate performance tests at a lower cost.

Conclusion

Incorporating intelligent test data generation and anomaly detection into performance testing represents a significant leap forward for software testing services. These AI-driven innovations not only enhance the accuracy and realism of tests but also enable faster issue detection and resolution. As businesses increasingly rely on complex, distributed applications to serve users worldwide, the ability to perform thorough and efficient performance tests will be crucial to maintaining customer satisfaction and ensuring system reliability. By embracing these advanced technologies, organizations can ensure their applications perform optimally, even under the most demanding conditions. If you're looking to enhance your software’s performance, integrating intelligent test data generation and anomaly detection into your performance testing strategy could be a game changer.

[kurohaai]

Also idk if I need to state this publicly again but hello, Ai is my name and I'm an artist but I draw things with my hands. I'm not artificial intelligence; if anything, I'm organic stupidity.

[sophiebaybey]

Not to preach to the choir but I wonder if people generally realize that AI models like ChatGPT aren't, like, sifting through documented information when you ask it particular questions. If you ask it a question, it's not sifting through relevant documentation to find your answer, it is using an intensely inefficient method of guesswork that has just gone through so many repeated cycles that it usually, sometimes, can say the right thing when prompted. It is effectively a program that simulates monkeys on a typewriter at a mass scale until it finds sets of words that the user says "yes, that's right" to enough times. I feel like if it was explained in this less flattering way to investors it wouldn't be nearly as funded as it is lmao. It is objectively an extremely impressive technology given what it has managed to accomplish with such a roundabout and brain-dead method of getting there, but it's also a roundabout, brain-dead method of getting there. It is inefficient, pure and simple.

[borahaerith]

THE GOOGLE AI WILL STRAIGHT UP SAY ANYTHING

[marrywillson]

Implementing AI for improved performance testing – Cuneiform

Performance testing is one of the most prevalent uses of AI and ML in software engineering.

AI in performance testing is being incorporated into mobile and web applications by businesses, making them more intelligent, faster, cheaper, and more interactive.

[476b]

here are my finalized pamphlets! i wish i had just waited to post these haha my default shapes post got so many notes and none of the information was even right [@lichenaday @botanyshitposts sorry to spread lichen misinformation - i thought like 3 people would see them]

anyways to all who doubted i could wrangle microsoft publisher default shapes to my iron will: who's laughing now

[catednlp]

Sophie Thatcher as Iris in.. — COMPANION // (2025)

[todayis-snowy]

“Looks good in blood and better in tears.”

[jmdbjk]

Jungkook telling it like it is...

He did tell Spotify that he'd use the blanket they gave him. Just not the way they probably thought he would: Jungkook's glossy black marble floor shows his bare feet prints on it and he used his Spotify blanket to clean the floor. He says he'll have to always wear socks or slippers. I can see him leaving a pile of toe socks at the door just for him to put on when he's in that room...

He says he briefly and unseriously considered quitting the business to be a full time cook. (JK, you can't do that, you have to make enough money to pay for the utilities and property taxes on your new fortress...) But that's his introvert kicking in, the routine, the comfort zone, the way his job holds his interest enough to make him want to keep doing it. But he is aware and he knows this about himself and knows he has to return to his "spot" as he called it.

He seems to accept the fact his place of residence is going to be known by the fans just like many other aspects of his life such as details of his military service. He seems to take it in stride but he also sets boundaries by asking fans to not come to his house and do not send packages, not only to his house but to his army base. He explains why, that he cannot accept them and that packages containing food are restricted. He clearly instructs to send letters to the company.

How do people know where he lives? Here's the answer, or at least part of it:

We all know if you spend time on Youtube the algorithm will feed you videos and channels similar to what you've watched. If you are restrained enough to limit your viewing to only BangtanTV I applaud you. But if you watch anything else, youtube will serve you similar. We all know that through the anecdotes of Armys talking about being flooded with edited, slo-mo shipping videos.

Personally, I like watching youtube channels that show walking tours of Seoul. The city captured my attention and I've learned so much about it. But because of this interest I have in Seoul and Korea, more "walking tour" and Korean travel type channels are suggested to me. Some are better than others. Some are actually run by K-Army. I am very interested in K-Armys' perspective about life in Seoul so I watch. We get to see the birthday cafe events and such that I'm probably never going to experience.

Inevitably one of these channels is going to walk by the members' homes... because they are Army and can. Streets are public. And this is how other people find out where the members live. The videos show that none of the homes are accessible. They are all behind walls and gates. None of the videos show hoards of fans congregated in front of the homes. The only place you ever see that is in front of the Hybe building.

Yes, it is controversial knowing these things but it is also one of those things that is almost unavoidable. What do I do with the information I gain by watching? Nothing. I satisfy my curiosity and move on.

Jungkook knows we are curious. He knows with his position in life there are things he cannot control and he's aware of it. It's pointless for him to pretend he isn't aware of this. That's why he sets boundaries. And he's very kind about it when he does set boundaries.

Are there bad actors out there who will take advantage of the knowledge? Of course. But that's on them. Are there people who will post every detail they learn? Of course. That's how the information spreads to other social media platforms.

Anyway... the Weverse translations are sort of skimming over what he says. There's a little bit of nuance being left out sometimes.

The Weverse English subs say "We'd sing it every day while taking showers." But Jungkook more accurately said: "We always sing together while taking a shower." (begins at 1:00:00)

The Weverse English subs say "Recently, with Jimin, now during our clean up time I finished up in the kitchen and came back up we talked a lot about music and we'd always be humming (he hums) and I'd go far away and sing songs (he gestures away from him). I'll try to practice more when I have time." But more accurately he said: "So these days I'm with Jimin and now when its personal maintenance time I go upstairs after finishing kitchen work. We talk a lot about singing and we're humming along to each other all the time (he hums) like that and we go far away and sing and stuff (he gestures away from him). I'll practice more in my spare time." (begins at 36:48)

The Weverse English subs say "I've been doing well with Jimin in my military life. I've been well." More accurately he said: "I'm/we are working hard and doing well in military life together with Jiminie-hyung. I'm doing well." (at 8:18)

He showed us his entertainment room, he clearly states he can't show us the upstairs but he does not give a reason why but as he talks he explains he has not "organized" his house. Maybe he won't show it because he doesn't want to or maybe he won't show it because in his opinion, its a mess right now. Regardless, its his choice what he wants to show us and we are privileged when he does so. I'd bet that at some point, we'll see his kitchen because he's Jungkook.

He talked about his job as a cook in the Army. He said he prepares many Korean dishes and they are either boiled or braised. He mentions that they cannot grill food. He says its not easy making large amounts of food. He says he does his best to make them tasty. I've noticed on the timeline the accounts that post military menus that on most days, meals include stews and soups so he is definitely learning how to cook a wide variety of dishes.

He sang about 30 songs including several off Golden. He sounded really good singing Standing Next to You, in fact, his off the cuff live singing of all the songs from his album was pretty exquisite even if he didn't sing most of the songs to the end.

He spoke with a slight reverence regarding only singing BTS songs with the rest of the members. It gave me the impression he knows it will be a special moment for them as well as us.

He picked at his lip, bit his cuticles, touched his lips, scratched his head under his beanie and yawned many times before finally telling us good night. Until we see you again soon, Kookie! Be safe and keep practicing with Jimin!

[isntlifemarvelous]

So I’m aware that I am (almost) a decade late to this party, but I just finished watching BBC’s Sherlock and oh my fucking god it has literally the WORST and STUPIDEST finale I have ever seen in my entire life so I simply must scream about it into the void. I knew the show was going downhill as soon as they killed off Moriarty but my GOD I didn’t expect it to be that much of a shitshow wtf??????????

[julianplum]

🌷 🖤 🏁 🌿 🐛 🐌 ✨ // still life with fritillaries & hellebores // gouache on hot press paper

A gift painted for a friend for their help with top surgery stuff! fritillaries are wild; they're actually checkered that way in nature, and hellebores really do come in black.

[criticalamityz]

are you still here? i'm still here!

[ireone]

seulgi ♡ 'cosmic' mv teaser

[bugeyedfreaks]

Forgot that I had been goofing around and making some PPG eggs for Easter… so, uh, happy belated egg gifts! 🥚💝

[batwynn]

Vote before looking at the comments or tags for answers or spoilers, please.