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dc.contributor.authorÇatal, Çağatay
dc.contributor.authorMishra, Deepti
dc.date.accessioned2017-10-27T07:19:10Z
dc.date.available2017-10-27T07:19:10Z
dc.date.issued2013-09
dc.identifier.issn0963-9314
dc.identifier.urihttp://hdl.handle.net/11413/1779
dc.description.abstractTest case prioritization techniques, which are used to improve the cost-effectiveness of regression testing, order test cases in such a way that those cases that are expected to outperform others in detecting software faults are run earlier in the testing phase. The objective of this study is to examine what kind of techniques have been widely used in papers on this subject, determine which aspects of test case prioritization have been studied, provide a basis for the improvement of test case prioritization research, and evaluate the current trends of this research area. We searched for papers in the following five electronic databases: IEEE Explorer, ACM Digital Library, Science Direct, Springer, and Wiley. Initially, the search string retrieved 202 studies, but upon further examination of titles and abstracts, 120 papers were identified as related to test case prioritization. There exists a large variety of prioritization techniques in the literature, with coverage-based prioritization techniques (i.e., prioritization in terms of the number of statements, basic blocks, or methods test cases cover) dominating the field. The proportion of papers on model-based techniques is on the rise, yet the growth rate is still slow. The proportion of papers that use datasets from industrial projects is found to be 64 %, while those that utilize public datasets for validation are only 38 %. On the basis of this study, the following recommendations are provided for researchers: (1) Give preference to public datasets rather than proprietary datasets; (2) develop more model-based prioritization methods; (3) conduct more studies on the comparison of prioritization methods; (4) always evaluate the effectiveness of the proposed technique with well-known evaluation metrics and compare the performance with the existing methods; (5) publish surveys and systematic review papers on test case prioritization; and (6) use datasets from industrial projects that represent real industrial problems.tr_TR
dc.language.isoen_UStr_TR
dc.publisherSpringer, Van Godewijckstraat 30, 3311 Gz Dordrecht, Netherlandstr_TR
dc.relationSoftware Quality Journaltr_TR
dc.subjectSystematic Literature Reviewtr_TR
dc.subjectSystematic Mapping Studytr_TR
dc.subjectTest Case Prioritizationtr_TR
dc.subjectRegression Testingtr_TR
dc.subjectSoftwaretr_TR
dc.subjectInfrastructuretr_TR
dc.subjectSistematik Literatür Taramasıtr_TR
dc.subjectSistematik Haritalama Çalışmasıtr_TR
dc.subjectTest Durumunun Önceliklendirilmesitr_TR
dc.subjectGerileme Testitr_TR
dc.subjectYazılımtr_TR
dc.subjectAltyapıtr_TR
dc.titleTest Case Prioritization: a Systematic Mapping Studytr_TR
dc.typeArticletr_TR
dc.contributor.authorID108363tr_TR
dc.contributor.authorID29629tr_TR
dc.identifier.wos322340900003
dc.identifier.scopus2-s2.0-84880587969


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