Systems | Development | Analytics | API | Testing

In the past year, generative AI has gone well beyond basics. Experiments with GenAI, such as ChatGPT4, can solve technical problems using mental models and complex systems consisting of specific rules, context, and toolsets. This is not your mother’s chatbot; tech companies that immediately integrated generative AI tools into their workflow report fast and almost universal performance gains.

If regular scripted software testing follows clear directions on a map through your project, then exploratory testing starts with a compass and a blank map. There are software bugs that can’t be discovered by following a map: skilled explorers must create their unique map. Every project can benefit from having exploratory testing seeking out the hidden bugs lying off the beaten path.

Layoffs, budget cuts, market shifts, outsourcing halts. Times are tight in engineering departments across the globe. While crowdsourcing can mitigate many of those issues, there’s a glaring QA challenge staring down the last two quarters of 2023: a talent shortage. Let me be clear: lack of qualified talent. There are enough bodies, enough devices, and O/S combinations to hobble together a crowdsourced testing team that can check the boxes.

Generative AI in software testing is an advanced approach that augments human testers to make the testing process faster and more efficient while improving the quality of the software test results. At Testlio, we use artificial intelligence in software testing to assist expert QA testing managers in new test creation, faster test case refactoring, and creating issue reports with significantly fewer errors. In essence, generative AI helps enhance human performance.

Regression testing is a critical aspect of software testing that ensures the reliability and stability of software systems after changes have been made. As software systems are updated, and new bugs are created, previously functioning features may stop working as intended. If you ask, “What is regression testing” or “How do I use it in my QA strategy,” let’s start here.

May 25, 2023, Austin, TX — Testlio, a leader in technology-powered software testing services, announced today that for 30 days across April and May 2023, it ran two experiments using generative AI technologies. These experiments signaled that quality assurance can be better and faster using a combination of expert quality professionals and AI-powered machines. With these findings, Testlio has embraced commercial-grade generative AI capabilities via its software testing platform and services.

Before we dive into regression testing, let’s first define it and understand what a regression is. Software regression testing is a type of software testing that ensures changes and additions to software code have not introduced new issues into previously working functionality. A software regression then is any unwanted change that occurs from code changes.

Robust software testing strategies are often an act of balance between extreme approaches, and approaching episodic vs. continuous testing is no different. While convention may be committed to a single strategy as an operational criterion for many organizations, consider a combined approach with the two.

Automation in QA uses software tools, frameworks, and techniques to automate testing tasks that QA testers might otherwise perform manually. The benefits of QA automation include faster testing, improved accuracy, greater test coverage, test script reusability, and long-term cost savings. Breakneck technological advancements and available DevOps workflows place increasing pressure on software development teams. As a result, they must deliver high-quality products faster than ever.