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How Test-Driven Methodologies Reduce CI/CD Lead Time

DevOps.com

Modern development environments, in which rapid continuous delivery is facilitated by automated continuous integration/continuous development (CI/CD) pipelines, require thorough and automated testing in development prior to integration.

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5 ways to do Continuously Improved Testing

Xebia

In many organizations, automated testing lags behind and becomes a bottleneck for successful continuous delivery. Either tests do not provide enough confidence or companies take a very traditional approach, resulting in releases either introducing substantial risks or becoming costly. Prerequisites. Independent.

Testing 130
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30 Common CI/CD Interview Questions (With Answers)

Dzone - DevOps

Questions (like the ones in this article) are a great way of testing your knowledge. What is continuous integration? What’s the difference between continuous integration, continuous delivery, and continuous deployment? How does testing fit into CI? Should testing always be automated?

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How to Execute Effective Automated Tests

Modus Create

Automated tests can help to speed up delivery, reduce errors, and save testing engineers time to run comprehensive and complex tests. However, before automating all test cases, it is necessary to make a rigorous assessment of what can be automated, when, how, and what cost and effort is required to achieve the goal.

Testing 98
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Well-tested code: in search of meaningful coverage

CircleCI

If you work anywhere near the field of software development, you’ve likely already heard that you should always write code that is well-tested. Everyone wants to have well-tested code and for a good reason! Testing ensures our code is working as intended and protects against regression. Testing techniques. Unit testing.

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Quality Control: Using Acceptance Testing to Guarantee Product Quality

Altexsoft

In software development, quality control exists alongside two other concepts: quality assurance (QA) and testing. Quality Assurance vs Quality Control vs Testing. The differences might not have much meaning for particular organizations or projects, who prefer to call all these processes QA or testing. Let’s examine them closer.

Testing 52
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LLMs Demand Observability-Driven Development

Honeycomb

Namely, that LLMs are black boxes that produce nondeterministic outputs and cannot be debugged or tested using traditional software engineering techniques. LLMs are their own beast Unit testing involves asserting predictable outputs for defined inputs, but this obviously cannot be done with LLMs. 100% debuggable? Sound at all familiar?