Tools for metrics used to evaluate software quality. (c2006)

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dc.contributor.author Moubayed, Dima M.
dc.date.accessioned 2011-05-12T08:50:11Z
dc.date.available 2011-05-12T08:50:11Z
dc.date.copyright 2006 en_US
dc.date.issued 2011-05-12
dc.date.submitted 2006-06-19
dc.identifier.uri http://hdl.handle.net/10725/454
dc.description Bibliography: leaves 38-39. en_US
dc.description.abstract Software Quality relies on attributes such as: Complexity, efficiency, maintainability, reusability and others. For evaluating such quality attributes, Metrics have been proposed, e.g.: the weighted methods per class, the depth of inheritance tree, the number of children of a class, etc... The process of controlling quality of a particular computer system through such metrics computation requires the use of some related tools that serve as software quality evaluators; their use has a major impact on the quality of the software to be developed, as they can provide guidelines for future designs. Throughout this paper, we will first define what software quality and its attributes are, point out their importance in an Object-Oriented paradigm and how they could be estimated and evaluated. We will then present a survey of some available tools, used to interpret software systems quality. While many of these tools in the market seem to be interesting to use, we will only describe in details the functionality and specifications of the ones we can possibly reach. en_US
dc.language.iso en en_US
dc.subject Computer software -- Evaluation en_US
dc.subject Computer software -- Quality control en_US
dc.title Tools for metrics used to evaluate software quality. (c2006) en_US
dc.type Thesis en_US
dc.title.subtitle A survey 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 200200039 en_US
dc.author.commembers Dr. Haidar Harmanani
dc.author.commembers Dr. Chadi Nour
dc.author.woa OA en_US
dc.description.physdesc 1 bound copy: ix, 39 leaves; ill.; 30 cm. available at RNL. en_US
dc.author.division Computer Science en_US
dc.author.advisor Dr. Danielle Azar
dc.identifier.doi https://doi.org/10.26756/th.2006.19 en_US
dc.publisher.institution Lebanese American University en_US

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