Many software testing tools include a statistic known as the McCabe cyclomatic complexity metric in their reports. The term itself is a bit confusing, as the metric isn't specifically about code ...
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How are QA teams using machine learning to predict test failures in real time?
QA teams now use machine learning to analyze past test data and code changes to predict which tests will fail before they run. The technology examines patterns from previous test runs, code commits, ...
Cyclomatic complexity is a quantitative measure of the linearly independent paths in source code that can help you understand the complexity of your program and improve code coverage There are various ...
One of the areas of embedded software development that engineers seem to struggle with is testing. Engineers often get excited about the design and implementation phases but when it comes to proving ...
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NCover Inc. is releasing version 3.0 this week of its flagship code coverage analysis tooling for .NET. Targeted at automated build and test environments, the upgrade improves performance, profiling ...
The latest trends in software development from the Computer Weekly Application Developer Network. Inefficient code often arises from a myriad of factors, including suboptimal algorithms, poor resource ...
NCover Inc. is releasing version 3.0 this week of its flagship code coverage analysis tooling for .NET. Targeted at automated build and test environments, the upgrade improves performance, profiling ...
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