One of the most critical pieces to delivering on users’ expectations is understanding their experience and extensively testing the entire lifecycle of their journey, from initial awareness, through the purchase process and ongoing use, to the end of their relationship with your company. Each interaction is an opportunity to test UX quality and brand consistency.

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.