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  • How to Improve Software Team Performance with Experimentation

    According to Terhi Aho, experimentation is a way of thinking that guides action. By experimenting we can develop ways of working without a major change process. It can help software teams to solve problems in small steps, relieve their workload, and foster self-management.

  • Measuring and Reducing the Environmental Impact of Software

    Software applications often manage big amounts of data; most of them are internet-based applications, and incorporate artificial intelligence. According to Coral Calero, these three aspects improve the capabilities and functionalities provided by software but they have also increased the amount of energy needed. We need to measure energy consumption of software to control its environmental impact.

  • Enabling Fast Flow in Software Organizations

    Resolving impediments to flow and removing unnecessary sources of cognitive load can make culture issues disappear in organisations, Nigel Kersten argued. Start with a clear strategy that is easy to communicate, then follow the path to creating stream-aligned teams and platform teams, he suggested.

  • 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.

  • How Tech-Enabled Networks of Software Teams Work

    To maintain agility at scale, software teams can use technological and organizational solutions to reduce dependencies and work autonomously. According to Fabrice Bernhard, collaboration technology can be leveraged to create a distributed network of teams. To empower their teams, leaders can support them with a systematic problem-solving culture aimed at delivering good products to customers.

  • Experiences from Doing DORA Surveys Internally in Software Companies

    Doing DORA surveys in your company can help you reflect on how you are doing software delivery and operation. The way you design and run the surveys, and how you analyze the results, largely impact the benefits that you can get out of them. Carlo Beschi shared his experiences from doing DORA surveys at Agile Cambridge.

  • Ideas for Crafting Inclusive Public Software Platforms

    Public software platforms should be inclusive and accessible to everyone, where people feel comfortable using them. It’s a big challenge to design a platform for everyone, from digital newbies to natives, with varying knowledge and experience of administrative processes. Government platforms must ensure their users' trust so that they feel safe using government services online.

  • Increasing Productivity by Becoming a Dual-Purpose Stream Aligned and Platform Software Team

    To manage their increased workload effectively and maintain quality and efficiency, a software team decided to become dual-purpose: stream-aligned and platform. They rewrote their main application to be API-first and implemented micro releases with their customer-facing products, to provide value to their end users quickly and maintain a steady flow of accomplishments for the team.

  • How Testing in the Metaverse Looks

    The "metaverse" typically refers to a collective virtual shared space that is created by the convergence of a virtually enhanced physical reality and a persistent virtual reality. According to Jonathon Wright, testing requires a mix of manual testing, automated testing, user testing, emulators, and simulators. Real-world testing environments are used to cover as many scenarios as possible.

  • How Building a Platform as a Product Empowered Software Engineers

    Platform engineering is about accelerating and empowering developers to deliver more product value faster over time. According to Jessica Andersson, most companies don’t invest in platform engineering until they reach a certain size. At QCon London she presented how their startup adopted platform engineering, what strategy they took, and what they did to gain platform adoption from developers.

  • Transforming Software Product Teams into Tech Investors

    The key responsibility of an organisation lies in balancing user value with profitability. In a product organisation, software product teams invest their own time. According to Fabrice des Mazery, software developers are much more than stakeholders; they are the main investors as they are part of the product teams.

  • 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.

  • Improving Mobile Test Automation with Continuous Integration, Central Logging, and Metrics Analysis

    Continuous integration can enhance automated mobile testing. Test data from multiple mobile devices running parallel tests can be consolidated to support monitoring. Jira tickets from manual testing can trigger the build process to ensure that testers will have the correct software version to do the manual testing.

  • Fostering Healthy Tech Teams in a DevOps World

    Building healthy DevOps tech teams that are responsible for a broad area can be challenging. To measure the success of your team, several frameworks provide metrics indicating team health. Psychological safety matters for healthy teams to ensure each software engineer brings their own lived experiences to build better products and that they feel safe to do so.

  • How to Scale Agile Software Development with Technology and Lean

    Agile software development can be done at scale with the use of technology like self-service APIs, infrastructure provisioning, real-time collaboration software, and distributed versioning systems. Lean can complement and scale an agile culture with techniques like obeyas, systematic problem-solving, one-piece-flow and takt time, and kaizen.

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