The latest News and Information on Software Testing and related technologies.
When you hear “Artificial Intelligence,” (AI) what do you think of? You might picture advanced humanoid robots or futuristic technology from sci-fi movies. But as it turns out, this “futuristic” technology is already integrated into our lives. It exists in our phones, televisions, and homes to make everyday tasks simpler. When it comes to software testing, AI can be implemented into your testing initiatives to increase efficiency.
BivwAk! is the transformation hub for BNP Paribas. Its goal is to bring new services and skillsets at the crossroad of all BNP Paribas entities. It’s in this context that Dino learned about OctoPerf. Dino Dona is the QA lead at BivwAk! He handles all the testing-related activities. Dino is very passionate about testing because it's a constantly evolving space. With new methodologies and tools emerging all the time. We met Dino at the french testing event JFTL.
Writing effective test cases is one of the most critical tasks that each tester must do within the Software Testing Life Cycle(STLC). Test cases are the foundation of every software product analysis. Writing successful test cases, on the other hand, is a method that can be learnt by in-depth application research, which involves building test cases and, most crucially, experience. The method for building successful test cases will be to identify, define, and analyze requirements.
Over the years, we have seen a steady increase in companies moving away from paper-based validation to electronic-based approaches after the FDA introduced 21 CFR Part 11, which addresses the use and control of electronic signatures and electronic records. When utilized correctly, 21 CFR Part 11 opens the door to numerous potential process and solution improvements in computer systems validation, yet many teams have failed to take full advantage of these improvements.
Exploratory tests are always different tests that are created and conducted at the same time. According to this concept, their automation may appear unnatural. Nonetheless, the deployment of automation based on predetermined and unpredictable circumstances may be of interest: the detection of business flaws. Exploratory testing emphasizes discovery, research, and learning, whereas automation testing focuses on test designs, test cases, test procedures, and test outcomes.
With new technology solutions and digital tools emerging all the time, the state of software testing is constantly changing. As the technology matures, the capabilities of testing automation evolve, presenting opportunities to increase the quality and efficiency of your software testing. Keeping up with the pace of change is difficult for most organisations.
