InfoQ Homepage Quality Content on InfoQ
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Combining Continuous Delivery with Pair Programming: Lessons Learned
Pair programming and continuous integration can go hand-in-hand. Pushing to main multiple times a day is hard in isolation, leading to delays, large PRs, and merge issues, Ola Hast and Asgaut Mjølne Söderbom mentioned in their talk about continuous delivery with pair programming at QCon London. Pairing enables instant code review, easier refactoring, fewer bugs, and higher team resilience.
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Microsoft Launches Azure App Testing: a Unified Hub for Load and End-to-End Testing
Introducing Azure App Testing: a unified hub combining Azure Load Testing and Microsoft Playwright for streamlined, efficient application testing. With AI-powered tools for accelerated performance insights and seamless scaling, users can simulate real-world traffic across multiple regions. Optimize your testing experience and ensure top-notch app performance with Azure's innovative solutions.
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How Amazon Uses Guardrails in Software Development
Carlos Arguelles spoke about Amazon’s inflection points in engineering productivity at QCon San Francisco, where he explained that shift testing left can help catch issues early. He suggested using guardrails such as code reviews and coverage checks. Your repo strategy, monorepo or multirepo, will impact the guardrails that need to be in place.
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Using Artificial Intelligence in Software Testing
Quality Assurance Engineers can evolve into artificial intelligence (AI) strategists, guiding AI-driven test execution while focusing on strategic decisions. Rather than replacing testing roles, AI can enhance them by predicting defects, automating test maintenance, and refining risk-based testing. Human-AI collaboration is crucial for maintaining quality in increasingly complex software systems.
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Using Artificial Intelligence for Analysis of Automated Testing Results
Analysis of automated testing results is a very important and challenging part of testing activities. At any given moment we should be able to tell the state of our product according to the results of automated tests, Maroš Kutschy said at QA Challenge Accepted. He presented how artificial intelligence helps them save time spent on analysis, reduce human errors, and focus on new failures.
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Exploring AI's Role in Automating Software Testing
QA professionals are increasingly turning to AI to address the growing complexities of software testing. AI-driven automation can improve test coverage, reduce test cycle times, and enhance the accuracy of results, leading to faster software releases with higher quality.
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The Value of Using Timeless Testing Tools
According to Benjamin Bischoff, developers find new tools much more interesting than old ones, as they offer an opportunity to learn new technologies and approaches and to expand their tool belt. Using tools that have been around for decades, however, can save time and budget. When evaluating tools, it is more important to understand the problem to be solved than to jump straight into the tools.
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How Data Mesh Platforms Connect Data Producers and Consumers
A challenge that companies often face when exploiting their data in data warehouses or data lakes is that ownership of analytical data is weak or non-existent, and quality can suffer as a result. A data mesh is an organizational paradigm shift in how companies create value from data where responsibilities go back into the hands of producers and consumers.
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Enhancing Developer Experience for Creating Artificial Intelligence Applications
For one company, large language models created a breakthrough in artificial intelligence (AI) by shifting to crafting prompts and utilizing APIs without a need for AI science expertise. To enhance developer experience and craft applications and tools, they defined and established principles around simplicity, immediate accessibility, security and quality, and cost efficiency.
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The Impact of Testing in Software Teams
Communicating quality gaps, holding space for good testing, and writing automation are some of the ways that testers contribute to software teams. According to Maaret Pyhäjärvi, we need to think about testing, not testers. Collaboration and having conversations between team members can result in valuable impact that changes the product and the experiences of our users.
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How Moral Values and Ethics Impact Software Delivery
Ethics and morality ensure fairness and integrity, which according to Anton Angelov is crucial for software professionals and society. The rise of technological advances, globalization, and demographic changes pose challenges to maintaining moral values in software delivery. Angelov believes that it is crucial for the QA industry to have a strong ethical framework.
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How to Develop a Culture of Quality in Software Organizations
According to Erika Chestnut, software organizations can develop a culture of quality with a clear commitment from leadership, not only to endorse quality efforts in software teams, but also to actively champion them. This commitment and advocacy should manifest in data-driven decision-making that strikes a balance between innovation and quality, ensuring that we maintain the highest quality.
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The Value of Repaying Good Technical Debt
Bad technical debt is the stuff that has been lingering around; teams need to work around it or fix the fallout as a consequence of this bad technical debt. Good technical debt is intentional, enables benefits for the organisation, and is controlled. Teams can use a disciplined approach for managing and repaying technical debt, for instance by using the wall of technical debt.
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Benefits of Doing Remote Mob Programming in a High Stakes Environment
A new team that needed to work remotely in a high-stakes environment decided to try out mob programming. It helped them to quickly go through forming-storming-norming-performing. With mobbing, the team learned new technologies, found solutions for dealing with others in stressful situations, and discovered how to work effectively together remotely.
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How to Create a UI That's Both Robust and User Friendly
The key challenge in building UIs is balancing ease of use and maintainability, with scale and complexity. It requires thoughtful component design and an understanding of common usage paths to create a UI that's both robust and user-friendly. Automation can be a game-changer when it comes to improving efficiency and consistency in your codebase.