Machine Learning based on Software Metrics for Process Assessment
نویسنده
چکیده
The improvement of the currently used processes and quality assurance mechanisms is an important part of software engineering. In our work, we apply machine learning techniques to metric data with the aim to provide techniques that improve the state of the art. Machine learning has the advantage of being unbiased, whereas experts instinctively use their intuition and expertise, which may be biased.
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