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An empirical study on a regression testing technique for OO software. (c2006)

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dc.contributor.author Nehme, Ali Toufic
dc.date.accessioned 2011-03-14T09:43:15Z
dc.date.available 2011-03-14T09:43:15Z
dc.date.copyright 2006 en_US
dc.date.issued 3/14/2011
dc.date.submitted 6/27/2006
dc.identifier.uri http://hdl.handle.net/10725/273
dc.description Includes bibliographical references (leaves 89-90). en_US
dc.description.abstract Regression testing is an essential activity aiming to prove that the unmodified sections of a software application are unaffected by changes. This paper presents an empirical study on a regression test selection technique for object-oriented sojiware. The technique is based on the Unified Modeling Language (UML) program design; il10re 5pecifically it makes use of the class diagrams, interaction overview diagram and the sequence diagrams. Nine versions of three case sludies test cases are used: the UML design is specified, test cases are drawn and then they are studied in terms of the number of selected test cases, inclusiveness and precision. We prove the feasibility of the technique and demonstrate the ability of the regression testing technique to select a small number of test cases for retest from the original set of test cases; We also provide evidence revealing high inclusiveness and precision rates; an amendment was also introduced to cope wilh a problem in detecting changes inside the fragments of the sequence diagrams. en_US
dc.language.iso en en_US
dc.subject Object-oriented programming (Computer science) en_US
dc.subject Computer software -- Testing en_US
dc.title An empirical study on a regression testing technique for OO software. (c2006) en_US
dc.type Thesis en_US
dc.term.submitted Spring en_US
dc.author.degree MS in Computer Science en_US
dc.author.school Arts and Sciences en_US
dc.author.idnumber 200202113 en_US
dc.author.commembers Dr. Faisal Abu-Khzam
dc.author.woa OA en_US
dc.description.physdesc 1 bound copy: xi, 92 leaves; ill.; 30 cm. available at RNL. en_US
dc.author.division Computer Science en_US
dc.author.advisor Dr. Nashat Mansour
dc.identifier.doi https://doi.org/10.26756/th.2006.4 en_US
dc.publisher.institution Lebanese American University en_US
dc.author.affiliation Lebanese American University en_US


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