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  • Swift Testing is a New Framework from Apple to Modernize Testing for Swift across Platforms

    While XCTest remains the preferred way to create tests in Xcode, the new Swift Testing framework attempts to introduce an expressive and intuitive API for the definition of tests that applies to all platforms where Swift is supported. The framework also enables parallelizing, categorizing and associating tests with bugs.

  • Production Comes First - an Outside-In Approach to Building Microservices by Martin Thwaites

    Martin Thwaites, an observability evangelist, developer, and developer advocate at honeycomb.io, presented on Production Comes First - an Outside-In Approach to Building Microservices. The session was part of the "Connecting Systems: APIs, Protocols, Observability" track.

  • 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.

  • Netflix Announces SafeTest, Its Custom Approach to Front-End Testing

    Moshe Kolodny recently introduced SafeTest, described as a novel approach to front-end web testing. SafeTest orchestrates a test runner, a browser automation library, a UI framework, and dependency injection capabilities to alleviate the pain points of traditional UI testing methods. SafeTest is currently used at Netflix.

  • Using ChatGPT for Amplifying Software Testing Practices and Assisting Software Delivery

    Artificial intelligence can assist software delivery and be used to automate software testing and optimize project work. Dimitar Panayotov uses ChatGPT to generate test data, create email templates, and produce explanations based on test results. This saves him time that he can invest to become more productive.

  • Testing across a Large Number of Inputs with Property-Based Testing

    Property-based testing is an approach that involves specifying statements that should always be true, rather than relying on specific examples. It enables you to test functions across a large number of inputs with fewer tests. Every run of a property-based test will use different inputs, which can give you confidence your code works in a general case.

  • How to Improve Testing by Using a Gentle Nudge

    Nudging gives us opportunities to positively influence our behavior. Its principles can be applied in testing to increase attention or to enhance the product's quality. Nudging makes use of our biases. This term may cause concern for testers as it poses a risk to delivering useful software. However, scientists have also recognized its potential to positively influence our behavior.

  • Improving Web Accessibility with Semantic HTML and Testing Techniques and Tools

    Web accessibility benefits all of us. Designers, developers, and testers can check for web accessibility and can make the web and services more inclusive, for instance by using semantic HTML, following web standards when coding, and testing for web accessibility. Countries are introducing regulations to enforce inclusive standards.

  • How to Assess Software Quality

    The quality practices assessment model (QPAM) can be used to classify a team’s exhibited behavior into four dimensions: Beginning, Unifying, Practicing, and Innovating. It explores social and technical quality aspects like feedback loops, culture, code quality and technical debt, and deployment pipeline.

  • Testing Advanced Driver Assistance Systems

    Advanced driver assistance systems can have a huge number of test cases. Cutting the elephant into smaller pieces can ensure every bit and piece is tested. A good test environment is essential to be efficient, fast and flexible to cover all required tests to ensure quality. Testers should be involved in the project right from the beginning to avoid task-forces, quality- or delivery problems.

  • How We Can Use Data to Improve System Quality

    To understand how systems are being used, we can collect metrics and identify trends over time. The data and insights gained can be used to improve system quality by improving software design or testing patterns.

  • Performance Testing Should Focus on Trends

    Performance testing starts by setting a baseline and defining the metrics to track together with the development team. Nikolay Avramov advises executing performance tests and comparing the results frequently during development to spot degrading performance as soon as possible.

  • Reliable Continuous Testing Requires Automation

    Automation makes it possible to build a reliable continuous testing process that covers the functional and non-functional requirements of the software. Preferably this automation should be done from the beginning of product development to enable quick release and delivery of software and early feedback from the users.

  • Using Data to Predict Future Usage and Increase User Insights

    By identifying usage trends, you can proactively adjust load, scaling, and routing to better handle the load on particular parts of the globe when you know it will peak there. Data about how users interact with your application can be used to design future features that better mimic these patterns and ensure that new features have a better chance of solving real user problems and getting adopted.

  • How to Test Low Code Applications

    For low code applications there are technical things you don’t have to test, like the integration with the database and the syntax of a screen. But you still have to test functionally, to check if you’re building the right thing. End-to-end testing and non-functional testing can be very important for low code applications.

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