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InfoQ Homepage Agile Conferences Content on InfoQ

  • Engaging All Generations with Adaptable Reward and Recognition Systems

    Reward and recognition systems should be adaptable, agile, and take contexts into consideration. All generations want three things - to be respected, rewarded and recognised for their work. The motivation and the form factor of the rewards are what differ for the generations. You need to be creative and keep reward and recognition systems fresh, and tailor them to teams.

  • Developing Testing Skills outside of Working Hours

    Gamifying your way of testing, joining online testing communities of practice, and virtual traveling; these are examples of activities you can do outside of working hours that can make you a better tester. You can practice continuous learning with other testers in the world, and then implement things you learned at your workplace and share them with your team to improve ways of testing.

  • Using Machine Learning in Testing and Maintenance

    With machine learning, we can reduce maintenance efforts and improve the quality of products. It can be used in various stages of the software testing life-cycle, including bug management, which is an important part of the chain. We can analyze large amounts of data for classifying, triaging, and prioritizing bugs in a more efficient way by means of machine learning algorithms.

  • Sustainable Internet: Reducing the Environmental Impact

    To be sustainable, the internet needs to assess, mitigate, and live up to its responsibilities for a healthy environment. By understanding the environmental impact, we can point to avenues where progress is possible and identify aspects of our digital infrastructures that come with unintended consequences that are too severe to look the other way.

  • How Kanban Can Support Evolutionary Change

    Evolutionary change is about starting where you are and improving one small change at a time. You need a stressor, a reflection mechanism, and an act of leadership to provoke change and institutionalize it. Understanding empathy allows change agents to find out what resonates with someone and work around resistance.

  • Characteristics of Agile Leaders

    Agile leaders are passionate about agile practices. They look to instill trust in their people, create transparency and are open to constructive criticism so that great work can be achieved. They focus on the vision and customers. Understanding what agile means, they give autonomy to the people, support them, and encourage them to develop and grow through learning and experimentation.

  • Agile Approaches for Building in Quality

    Built-in quality is a core pillar in agile. However, if we want to build in quality at scale, we need to look at the whole development life cycle. Quality awareness needs to be increased at multiple layers of the organization; agile coaches can help by boosting quality thinking by embracing an agile way of working.

  • Meetings in a Time of Separation

    Having many people in virtual meetings can lead to people who only partly attend and become disengaged. We should question who should be attending the meeting and make information from the meeting available for those who decide not to attend to decrease meeting FOMO.

  • Becoming Personally Agile for Mental Health

    Feeling the need to be constantly producing high-quality deliverables with a high sense of perfection can lead to stress and can cause burnout. You have to first accept that you have a problem to find your way out of burnout. Applying agile on a personal level can help you to achieve high goals while reducing stress and lowering the chance of getting burnout.

  • Building an Intentional Organisation: a Holistic Approach

    Building an intentional organisation requires a mindset that considers all organisational building blocks holistically. Leadership is key; actions that managers take have organisational consequences which need to be aligned to design an organisation that can achieve its purpose.

  • Experiences from a Testing Tour of Pairing and Learning

    Being a solo tester on a team, Parveen Khan decided to do a testing tour where she paired remotely with testers and developers to explore topics. It became a testing journey of learning where she explored testing topics like performance testing, AI and ML, observability, and Sketchnoting. In doing these sessions she also experienced how pairing and sharing can help to develop oneself.

  • The Journey from Monolith to Microservices at GitHub: QCon Plus Q&A

    GitHub needed to fundamentally rethink how they did software development due to all of the different cultures, norms, and technology stacks that their teams brought to the table. They are migrating toward a microservices architecture that enables different teams and systems and technologies to work harmoniously together.

  • Experiences from Testing Stochastic Data Science Models

    A data science model is a statistical black box; testing it requires an understanding of mathematical techniques like algorithms, randomness, and statistics. To validate data science models you can use thresholds to handle output variance.

  • Team-Level Agile Anti-Patterns - Why They Exist and What to Do about Them

    A good scrum master or coach can address team-based anti-patterns, for instance by explaining what less than optimal outcomes arise and what is likely to happen if the anti-pattern remains unaddressed.

  • Analyzing Large Amounts of Feedback to Learn from Users

    Making it easy for users to give feedback and automating the collection of feedback helps to get more feedback faster. Using artificial intelligence, you can analyze large amounts of feedback to get insights and visualize trends. Sharing this information widely supports taking action to enhance your product and solve issues that users are having.

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