InfoQ Homepage Stories & Case Studies Content on InfoQ
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How Slack Used an AI-Powered Hybrid Approach to Migrate from Enzyme to React Testing Library
Enzyme’s lack of support for React 18 made their existing unit tests unusable and jeopardized the foundational confidence they provided, Sergii Gorbachov said at QCon San Francisco. He showed how Slack migrated all Enzyme tests to React Testing Library (RTL) to ensure the continuity of their test coverage.
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Using DORA for Sustainable Engineering Performance Improvement
DORA can help to drive sustainable change, depending on how it is used by teams and the way it is supported in a company. According to Carlo Beschi, getting good data for the DORA keys can be challenging. Teams can use DORA reports for continuous improvement by analysing the data and taking actions.
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QCon London: Learnings from Automating Deployments
Copying and pasting code from one Windows folder to another as a deployment method can cause downtime. Jemma Hussein Allen presented how they automated their deployments and the benefits that they got from it at QCon London.
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Enhancing Developer Experience for Creating Artificial Intelligence Applications
For one company, large language models created a breakthrough in artificial intelligence (AI) by shifting to crafting prompts and utilizing APIs without a need for AI science expertise. To enhance developer experience and craft applications and tools, they defined and established principles around simplicity, immediate accessibility, security and quality, and cost efficiency.
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How Continuous Mobile Development Can Benefit from Test Automation
Test automation can support continuous mobile software development by reducing manual testing efforts, minimizing human errors, and accelerating the release cycle. Burak Ergören shared his experiences from automating their mobile testing at QA Challenge Accepted 2023.
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Why Stable Software Teams Aren't Always Best: Self-Selection Reteaming at Redgate
There are advantages to having the same group of people stay together, especially in achieving a time-bound software development project. However, in a world where we increasingly see product or stream-aligned teams who own long-living software from creation through to delivery, operation, and ongoing improvements, then optimising for very stable teams is not the best idea, Chris Smith argues.
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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.
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Migrating From Enzyme to React Testing Library - Sentry Case Study
The Sentry engineering team recently recounted on its blog the drivers and lessons learned from migrating its front-end tests code from Enzyme to the React Testing Library. The migration was triggered by Enzyme’s lack of support for newer versions of React. The migration took about 20 months and involved 17 engineers reviewing around 5,000 tests.
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Applying Machine Learning for Business Outcomes at Travelopia
Travelopia changed its focus from a technology approach to business outcomes, and adapted agile and lean for delivering machine learning solutions. This enabled them to deliver machine-learning business models faster and better.
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Infinite Representations: an Impossible Thing for Developers
Developers can face impossible things in their daily work. It’s impossible to directly represent infinity or to hold infinite precision on a discrete physical computer. Storage and representations are bounded. Ignoring or being unaware of this impossibility can lead to bugs or systems behaving differently than expected. Kevlin Henney gave the keynote Six Impossible Things at QCon London 2022.
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Making On-Call Less Painful for Developers by Using High-Quality Alerts
On-call is an increasing reality for developers. Improving alerts to reduce noise, automation, and removing warnings can help to make on-call work more humane. A driving force behind automation is Infrastructure as Code. Over time you can abstract that code so that it fits other use cases, which helps propagate best practices.
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How Measuring Defect Mass Helps to Test Critical Product Areas
Introducing a measurement called “defect mass” helped a project to find the most impacted areas by developments and decide how many tests should be run for each impacted area. Using this measurement together with other KPIs helped them focus their testing. They managed to decrease the number of customer incidents.
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Implementing Remote Software Verification and Validation Using a Real Vehicle
Bosch is doing automated regression testing and user testing using a real car instead of a simulated one. Their aim is to test the software as quickly as possible, both from the test engineer's and user's perspectives. The car can be accessed remotely, and team members can work without being in the car.
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Adapting a Zero Bug Policy to Solve Bugs
Applying a zero bug policy made it easier to prioritize bugs and increased team visibility and responsiveness towards bugs. As it’s a radical change, you will need to adapt it to your context regarding decision-making and time to fix a bug.
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How Mob Programming Collective Habits Can be the Soil for Growing Technical Quality
Mob programming can support teams in changing old habits into new effective habits for creating products in an agile way. Collectively-developed habits are hard to forget when you have other people around. Mob programming forces individuals to put new habits into practice regularly, making them easier to adopt. Teams are intolerant of repetition, looking for better ways of doing their work.