Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/1873
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dc.contributor.authorGodboley, S-
dc.contributor.authorPrashanth, G S-
dc.contributor.authorMohapatro, D P-
dc.contributor.authorMajhi, B-
dc.date.accessioned2013-03-06T11:34:49Z-
dc.date.available2013-03-06T11:34:49Z-
dc.date.issued2013-
dc.identifier.citationIEEE International Advance Computing Conference (IACC), 2013en
dc.identifier.issn978-1-4673-4529-3-
dc.identifier.urihttp://hdl.handle.net/2080/1873-
dc.descriptionCopyright belongs to IEEEen
dc.description.abstractModified Condition / Decision Coverage (MC / DC) is a white box testing criteria aiming to prove that all conditions involved in a predicate can influence the predicate value in the desired way. Though MC/DC is a standard coverage criterion, existing automated test data generation approaches like CONCOLIC testing do not support MC/DC. To address this issue we present an automated approach to generate test data that helps to achieve an increase in MC/DC coverage of a program under test. We use code transformation techniques which consist of the following major steps: Identification of predicates, Simplification of sum of product by QUINEMcMLUSKY method, and generating empty true-false if-else statements. This transformed program is inserted into the CONCOLIC tester (CREST TOOL) to generate test data for increased MC/DC coverage. Our approach helps to achieve an increase in MC/DC coverage as compared to the traditional CONCOLIC testing.en
dc.format.extent677832 bytes-
dc.format.mimetypeapplication/pdf-
dc.language.isoen-
dc.subjectMC/DCen
dc.subjectconcolic testingen
dc.subjectCREST toolen
dc.subjectprogram code transformeren
dc.subjectcoverage analyzeren
dc.titleIncrease in Modified Condition/Decision Coverage Using Program Code Transformeren
dc.typeArticleen
Appears in Collections:Conference Papers

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