InfoQ Homepage Agile Conferences Content on InfoQ
-
Applying Observability to Leadership to Understand and Explain your Way of Working
Leadership observability means observing yourself as you lead, treating yourself as the system that is under observation. Alex Schladebeck shared how narrating thoughts, using mind maps, asking questions, and identifying patterns helped her as a leader to explain decisions, check bias, support others, and understand her actions and challenges.
-
How a Sociotechnical Approach Can Help to Deal with Complexity
Today’s software professionals navigate a maze of technical, business, and social complexity. According to Xin Yao, thriving in this environment requires more than just technical and business expertise. We need fluency in decoupling systems for maintainability, reconnecting them for business value, and working with the messiness of organizational dynamics.
-
Why We Should Care about Accessible Websites and How to Do It
Web accessibility ensures content is usable by people with disabilities. According to Joanna Falkowska, it can give a competitive edge, improve SEO, and support basic human rights. She emphasizes using WCAG standard and making accessibility a shared team responsibility from the start of development, to prevent costly fixes later in the process.
-
Expanding Continuous Improvement beyond Agile Practices
After being on an agile journey where practices were centered on IT, a company is now exploring ways to extend them beyond IT and scale their approach. Ramya Sriram presented how they focus on continuous improvement through agile practices, feedback, and customized maturity assessments. Emphasizing flow metrics with a strong learning culture, they aim for efficiency and sustainable growth.
-
Learning from Embedded Software Development for the Space Shuttle and the Orion MPCV
Software development is much different today than it was at the beginning of the Space Shuttle era because of the tools that we have. But the art and practice of software engineering has not progressed that much since the early days of software development. Compilers are much better and faster, and debuggers are now integrated into development tools, making the task of error detection easier.
-
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.
-
Lessons Learned from Growing an Engineering Organization
As their organization grew, Thiago Ghisi's work as director of engineering shifted from being hands-on in emergencies to designing frameworks and delegating decisions. He suggested treating changes as experiments, documenting reorganizations, and using a wave-based communication approach to gather feedback, ensuring people feel heard and invested.
-
Exploring Aging of Programmers: Fostering Inclusive and Age-Friendly Workplaces
Age-related discrimination assumes older programmers are less capable or unwilling to learn. Kate Gregory stresses that inclusive, age-friendly workplaces benefit all employees. She advises staying open to new experiences, learning, and building connections to maintain a fulfilling career and well-being as we age.
-
Applying DevOps Principles and Practices as a Quality Assurance Engineer
DevOps streamlines software development with automation and collaboration between development and IT teams for efficient delivery. According to Nedko Hristov, testers' curiosity, adaptability, and willingness to learn make them suited for DevOps. Failures can be approached with a constructive mindset; they provide growth opportunities, leading to improved skills and practices.
-
Learnings from Working with Programming Rules and Guidelines
Programming rules and guidelines improve code consistency, but misapplication can lead to poor results. Arne Mertz suggests that software developers selectively adopt rules and guidelines, and document deviations with clear explanations. They can discuss their experiences in communities or during their daily work, to foster collaboration and improve code quality without unnecessary bureaucracy.
-
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.
-
How a Software Architect Uses Artificial Intelligence in His Daily Work
Software architects and system architects will not be replaced anytime soon by generative artificial intelligence (AI) or large language models (LLMs), Avraham Poupko said. They will be replaced by software architects who know how to leverage generative AI and LLMs, and just as importantly, know how NOT to use generative AI.
-
How to Foster a Continuous Improvement and Learning Mindset in Software Development
According to Ramya Sriram, individuals and teams must embrace a continuous improvement and continuous learning mindset to stay competitive and relevant. She spoke about continuous improvement and learning, where she explored how her company fosters a culture of innovation through programs that support experimentation, providing employees with the time and space to explore new approaches and adapt.
-
How Data Contracts Support Collaboration between Data Teams
Data contracts define the interface between data providers and consumers, specifying things like data models, quality guarantees, and ownership. They are essential for distributed data ownership in data mesh, ensuring data is discoverable, interoperable, and governed. Data contracts improve communication between teams and enhance the reliability and quality of data products.
-
Creating Accessible Websites Using the Web Content Accessibility Guidelines
Web accessibility is about making web content available to users with disabilities. Development teams can use the success criteria of the Web Content Accessibility Guidelines to improve accessibility and create an inclusive website.