Abstract
The challenges facing software engineering teams are complex and are evolving over time. Many teams aim to produce software more frequently without sacrificing quality. These teams may be considering changing their development processes to meet these new challenges. Teams creating products in such a changing and challenging environment can benefit from data to make decisions based on evidence rather than based on intuition. In many cases, software engineers have a tremendous amount of data, and sometimes, they are overloaded with it. However, the challenge is to determine what data is relevant, how it should be analyzed, and how the analysis should be interpreted to guide decision-making.
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