Please use this identifier to cite or link to this item: http://10.1.7.192:80/jspui/handle/123456789/9524
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dc.contributor.authorSinghal, Shubhra-
dc.date.accessioned2021-01-04T08:05:09Z-
dc.date.available2021-01-04T08:05:09Z-
dc.date.issued2020-06-01-
dc.identifier.urihttp://10.1.7.192:80/jspui/handle/123456789/9524-
dc.description.abstractOnce a product is developed then with the changing behavior of the application as per the demand, it is must validate the changes made in a product. But the time needed to test those changes is considerably higher than the development time. As of now the nightly regression jobs run with a considerable amount of time for executing huge no of test cases and with new features added in time for that also new test cases required to keep product stable. It becomes vital to reduce the validation time and reduce overall resource allocation. This is where the smart regressions come where the total time is reduced by executing on-demand tests which are dependent on modified classes and contribute around 30-40% of the total number of tests written for that product. The faulty tests are detected and refactored again parallelly along with the complete validation. This is achieved by various optimization techniques like by doing code coverage, the build deployment and report generation, in-order to achieve accurate reporting during the runtime of nightly scripts.en_US
dc.publisherInstitute of Technologyen_US
dc.relation.ispartofseries18MCEC12;-
dc.subjectComputer 2018en_US
dc.subjectProject Report 2018en_US
dc.subjectComputer Project Reporten_US
dc.subjectProject Reporten_US
dc.subject18MCEen_US
dc.subject18MCECen_US
dc.subject18MCEC12en_US
dc.titleInternship At Intel Smart Regression to Reduce Regression Testingen_US
dc.typeDissertationen_US
Appears in Collections:Dissertation, CE

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