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http://hdl.handle.net/11375/8980
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DC Field | Value | Language |
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dc.contributor.advisor | Maibaum, T.S.E. | en_US |
dc.contributor.author | Grigorova, Silviya | en_US |
dc.date.accessioned | 2014-06-18T16:44:59Z | - |
dc.date.available | 2014-06-18T16:44:59Z | - |
dc.date.created | 2011-05-24 | en_US |
dc.date.issued | 2009-10 | en_US |
dc.identifier.other | opendissertations/4143 | en_US |
dc.identifier.other | 5162 | en_US |
dc.identifier.other | 2026827 | en_US |
dc.identifier.uri | http://hdl.handle.net/11375/8980 | - |
dc.description.abstract | <p>Quality has many definitions, and even more models and methods for assurance and evaluation associated with it. After an overview of existing concepts, we provide a comprehensive methodology for evaluating the quality of a software product, complete with methods for model structure and parameter elicitation and a way for mapping the quantitative results obtained from the evaluation to qualitative rankings of product characteristics (e.g. Poor, Good, Excellent). This is complemented with a compendium of quality characteristics and metrics associated with them and a generic quality model combining the works of McCall and Boehm with the international standard for software product quality ISO/IEC 9126-1. A discussion of the advantages that the use of Bayesian Belief Networks (BBNs) can provide in this framework is also offered, as well as a method for transforming quality models to a form suited for BBN use. The methodology has been applied to a case study.</p> | en_US |
dc.subject | Computer Sciences | en_US |
dc.subject | Computer Sciences | en_US |
dc.title | THE ELUSIVE QUEST: SOFTWARE PRODUCT QUALITY EVALUATION | en_US |
dc.type | thesis | en_US |
dc.contributor.department | Computer Science | en_US |
dc.description.degree | Master of Science (MS) | en_US |
Appears in Collections: | Open Access Dissertations and Theses |
Files in This Item:
File | Size | Format | |
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fulltext.pdf | 5.49 MB | Adobe PDF | View/Open |
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