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InfoQ Homepage Code Quality Content on InfoQ

  • AWS Announces General Availability of Amazon CodeGuru

    Recently, AWS announced the general availability of Amazon CodeGuru, a developer tool powered by machine learning. It provides intelligent recommendations for improving code quality and identifying an application's most expensive lines of code.

  • GitHub Super Linter Helps Developers Ensure No Broken Code Is Ever Merged

    GitHub Super Linter aims to automate the process of setting up your GitHub repositories so they will use the appropriate linter for your language whenever a pull request is created.

  • Organizational Topologies and Their Impact on Quality

    August Lilleaas recently wrote about the correlation between organization complexity and software quality citing a paper by Microsoft. Rapid Software Testing Methodology creator James Bach has also recently written about how we should interpret quality metrics. The authors of Team Topologies shared insights into how adapting organizational structure can improve the health of software.

  • Experiences from Mob Programming at an Insurance Startup

    What do you do when two developers in your team mention that they have been stuck on a task for three days? At an insurance startup, the whole team decided to try-out mob programming. From the first day they started to mob, their knowledge of the codebase increased. Working together also helped them to get to know each other better and to be more efficient as a team.

  • Underplayed Premises of TDD: Q&A with GeePaw Hill

    TDD is more than a technique; it’s a whole style of programming, an integrated system of related behaviors and ideas. The five premises of TDD provide a ring in which we operate, they are the air that a TDD’er breathes.

  • Code Reviews in Practice

    Code reviews are a great way to find bugs, get input from other team members, and share knowledge and ownership. For maximum benefit, integrate code reviews into your development process to ensure that no code reaches production without being reviewed. Reviews tend to uncover unresolved issues in the development process which you may need to address.

  • Readable Code - Why, How and When You Should Write It

    Most people would say they want readable code, and may even prefer readability over functionality. But when it comes down to asking people to define readability, opinions will start to diverge. At Explore DDD 2018 , Laura Savino covered why we want readable code, what it really means to be readable, and when readability absolutely must take priority over other considerations.

  • Sustainable Software with Agile

    Sustainable software enables you to deliver changes to the customer more quickly with a lower likelihood of bugs, decrease of the total cost of ownership of applications, and increase business agility. It’s possible to verify the sustainability of software using a combination of automated analysis of source code, expert review of technical artifacts, and comparison with benchmark data.

  • Tackling Technical Debt at Meetup

    Continuous product health can be realized by regularly prioritizing the highest impact technical debt items and knocking those off systemically. You need to continuously iterate how you're tackling technical debt to drive more and more impactful results. Going for maximum impact items first and communicating the impact of paying down technical debt is what Yvette Pasqua, CTO of Meetup, recommends.

  • A Crystal Ball to Prioritise Technical Debt in Monoliths or Microservices: Adam Tornhill's Thoughts

    At QCon London, Adam Tornhill presented “A Crystal Ball to Prioritise Technical Debt”, and claimed that although the technical debt metaphor has taken the software world with storm, most organizations find it hard to prioritise and repay their technical debt. Key takeaways from the talk included methods to identify ‘hotspots’ of code complexity and churn.

  • Dead Code Must Be Removed

    Dead code needs to be found and removed; leaving dead code in is an obstacle to programmer understanding and action, and there's the risk that the code is awakened which can cause significant problems. Deleting dead code is not a technical problem; it is a problem of mindset and culture.

  • The Future of QA at Atlassian

    Mark Hrynczak, Cloud QA Manager for Atlassian, gave a talk on this year’s company summit in which he shared his vision of how a high valuable QA team should perform. High value for a QA team is defined as being, in the first place, totally aligned with the company strategic goals ,thus contributing to solve the most important problems that an organization might face at a specific moment.

  • Refactoring and Code Smells – A Journey Toward Cleaner Code

    Refactoring helps to move towards cleaner code that is easier to understand and maintain. It takes practice and experience to recognise code smells: symptoms of bad design which indicate deeper problems in the code. Tools can be helpful to refactor in small steps and prevent breaking the code.

  • Continuous Deployment at Coolblue

    Continuous deployment results in a higher sense of responsibility and better quality of deployments, argues Paul de Raaij, technical pathfinder at Coolblue. Coding standards prevent your code base from becoming a mess, automated inspections are great for tedious and boring checks, and manual checks are great for checking if the logic or use of code actually makes sense.

  • Using Models in Developing Software for Self-Driving Cars

    Models play an important role in developing software for autonomous systems like self-driving cars; they are used to simulate and verify behavior, document the system, and generate code. Jonathan Sprinkle explains how to model software used in autonomous systems, the benefits of modeling, using test data to validate the software that drives a car and techniques for writing reliable code.

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