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dc.contributor.authorAdtha Lawanna
dc.date.accessioned2018-06-14T02:47:55Z
dc.date.available2018-06-14T02:47:55Z
dc.date.issued2015-11
dc.identifier.citation19th International Computer Science and Engineering Conference, ICSEC-2015, pp. 1-6. (November 28 – 30, 2015)en_US
dc.identifier.urihttp://repository.au.edu/handle/6623004553/21057
dc.description.abstractOne problem of testing software is selecting the suitable test cases from the test suit regarding the size of the programs. If the size of selected test cases is big, then it can affect the whole performance of software development life cycle. Accordingly, it increases testing time and produce many bugs. Therefore, this paper proposes the improvement of software testing for selecting the appropriate and small number of test cases by considering the amounts of the functions modified, lines of code changed, and numbers of bugs produced after modifying programs. The reason of proposing the software testing improvement model is to prepare effective algorithm, while numbers of bugs are lower than the traditional methods. According to the experimental results, the size of the selected test cases by using the proposed model is less than Retest All, Random, and a Safe Test about 98.70%, 87.86%, and 84.67% respectively. Moreover, the ability of STI is higher than the comparative studies about 1-20 times regarding the number of bugs found after modifying a program.en_US
dc.format.extent6 pagesen_US
dc.format.mimetypeapplication/pdfen_US
dc.language.isoengen_US
dc.subjectSoftware testingen_US
dc.subjectTest caseen_US
dc.subjectCodeen_US
dc.subjectBugsen_US
dc.titleAn Effective Test Case Selection for Software Testing Improvementen_US
dc.typeTexten_US
dc.rights.holderAdtha Lawannaen_US
mods.genreConference Paperen_US
au.link.externalLink[Full Text] (https://ieeexplore.ieee.org/document/7401450/)


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