Using goal–question–metric to compare research and practice perspectives on regression testing

Regression testing is challenging because of its complexity and the amount effort time it requires, especially in large-scale environments with continuous integration delivery. test selection prioritization techniques have been proposed literature to address regression challenges, but adoption rates these industry are not encouraging. One possible reasons could be disparity goals literature. This work compares research perspective practice on goals, corresponding information needs, metrics required evaluate goals. We conducted a review 44 papers survey 56 practitioners. The comprises 11 interviews 45 responses an online questionnaire. identified that accentuate different For instance, emphasizes increasing fault detection suites early identification critical faults. In contrast, practitioners' focus suite maintenance, controlled slippage, awareness changes. Similarly, suggests maintaining needs from case execution histories based various metrics, whereas, at large, practitioners do use suggested To bridge gap, findings, we created goal–question–metric (GQM) model maps associated both perspectives. GQM can guide researchers proposing new closer contexts. Practitioners benefit presented as tool follow their