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http://hdl.handle.net/2080/1873
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DC Field | Value | Language |
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dc.contributor.author | Godboley, S | - |
dc.contributor.author | Prashanth, G S | - |
dc.contributor.author | Mohapatro, D P | - |
dc.contributor.author | Majhi, B | - |
dc.date.accessioned | 2013-03-06T11:34:49Z | - |
dc.date.available | 2013-03-06T11:34:49Z | - |
dc.date.issued | 2013 | - |
dc.identifier.citation | IEEE International Advance Computing Conference (IACC), 2013 | en |
dc.identifier.issn | 978-1-4673-4529-3 | - |
dc.identifier.uri | http://hdl.handle.net/2080/1873 | - |
dc.description | Copyright belongs to IEEE | en |
dc.description.abstract | Modified 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.extent | 677832 bytes | - |
dc.format.mimetype | application/pdf | - |
dc.language.iso | en | - |
dc.subject | MC/DC | en |
dc.subject | concolic testing | en |
dc.subject | CREST tool | en |
dc.subject | program code transformer | en |
dc.subject | coverage analyzer | en |
dc.title | Increase in Modified Condition/Decision Coverage Using Program Code Transformer | en |
dc.type | Article | en |
Appears in Collections: | Conference Papers |
Files in This Item:
File | Description | Size | Format | |
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PID2637179.pdf | 708.54 kB | Adobe PDF | View/Open |
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