Answers are grounded in this paper and cite their sources.
To date, various test prioritization techniques have been developed, but the majority of these techniques consider a single objective that could limit the applicability of prioritization techniques by ignoring practical constraints imposed on regression testing. Multi-objective prioritization techniques try to reorder test cases so that they can optimize multiple goals that testers want to achieve. In this paper, we introduced a novel graph-based framework that maps the prioritization task to a graph traversal algorithm. To evaluate our approach, we performed an empirical study using 20 versions of four open source applications. Our results indicate that the use of the graph-based technique can improve the effectiveness and efficiency of test case prioritization technique.
No takes yet. Share an insight, caveat, or question.
Azizi et al. (2018) studied this question.
Synapse has enriched 8 closely related papers on similar clinical questions. Consider them for comparative context: