InfoQ Homepage Testing Content on InfoQ
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Debugging outside Your Comfort Zone: Diving beneath a Trusted Abstraction
This article takes a deep dive through a complex outage in the main database cluster of a payments company. We’ll focus on the aftermath of the incident - the process of understanding what went wrong, recreating the outage in a test cluster, and coming up with a way to stop it from happening again, and dive deep into the internals of Postgres, and learn about how it stores data on disk.
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If You Want to Deliver Fast, Your Tests Have the Last Word
A good testing strategy is critical for safe code changes, fast delivery, reduced MTTR, and improved developer experience. Shifting the concept of “unit” can reduce the time needed for changes.
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Effective Test Automation Approaches for Modern CI/CD Pipelines
Shifting left can be used to improve test design and lead to faster, more effective CI/CD pipelines. By focusing on building effective and efficient tests, CI/CD runs can quickly return feedback.
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Respect. Support. Connect. The Manager’s Role in Building a Great Remote Team
As managers, we face challenges in terms of needs, accessibility, gender, nationalities, and other conditions that influence our teams and working environments. We cannot build projects based on Excel sheets only, not considering peoples’ preferences and options for personal growth. We need to see real people – even if we meet them in a virtual working environment only.
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A Simpler Testing Pyramid: Getting the Most out of Your Tests
Overcomplicating your test structure can lead to slow, brittle tests. A focus on test speed as the primary labeling mechanism maximizes your test investment.
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Moving towards a Future of Testing in the Metaverse
In this article, Tariq King describes the metaverse concept, discusses its key engineering challenges and quality concerns, and then walks through recent technological advances in AI and software testing that are helping to mitigate these challenges. To wrap up, he shares some of his thoughts on the role of software testers as we move towards a future of testing in the metaverse.
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The Process of Creating Decentralized Apps (dApps)
A decentralized application has a different architectural approach; they are working on distributed ledger technology called blockchain, where there is no central point of failure nor third parties involved. A revolutionary and attractive technology for new opportunities. This article covers creating such applications and why they are needed, as well as challenges during implementation.
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The Unit in Unit Testing
In this article, we will focus on how developers should consider using fake objects instead of mock objects, as fake objects offer similar isolation benefits while driving high confidence, clear documentation, and loose coupling between implementation and test code.
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How Practicing TCR (Test && Commit || Revert) Reduces Batch Size
The practice of test && commit || revert teaches how to write code in smaller chunks, further reducing batch size. TCR yields high coverage by design, which smooths the downstream testing pipeline.
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How I Contributed as a Tester to a Machine Learning System: Opportunities, Challenges and Learnings
Have you ever wondered about systems based on machine learning? In those cases, testing takes a backseat. And even if testing is done, it’s done mostly by developers themselves. A tester’s role is not clearly portrayed. Testers usually struggle to understand ML-based systems and explore what contributions they can make. This is a journey of assuring quality of ML-based systems as a tester.
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How to Use Your Existing Software Development Process Data to Find More Bugs in Less Time
This article presents better solutions that employ data from the system under test and the tests themselves to optimize testing efforts. This allows teams to find more bugs (by making sure that bug-dense areas are tested) in less time (by reducing the executions of tests that are very unlikely to detect bugs).
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/articles/software-testing-ai-ml-2023/en/smallimage/logo-1674221439156.jpg)
Software Testing, Artificial Intelligence and Machine Learning Trends in 2023
Technology has taken significant leaps within the last few years, introducing advancements that have taken us further into the digital age, impacting the software testing industry, and we're seeing advances in machine learning, artificial intelligence, and the neural networks making them possible. These new technologies will change how software is developed and tested like never before.