dc.contributor.advisor | Bagula, Antoine | en_ZA |
dc.contributor.author | Balikuddembe, Joseph Kibombo | en_ZA |
dc.date.accessioned | 2015-01-10T06:57:35Z | |
dc.date.accessioned | 2018-11-26T13:53:31Z | |
dc.date.available | 2015-01-10T06:57:35Z | |
dc.date.available | 2018-11-26T13:53:31Z | |
dc.date.issued | 2009 | en_ZA |
dc.identifier.uri | http://hdl.handle.net/11427/11915 | |
dc.identifier.uri | http://repository.aust.edu.ng/xmlui/handle/11427/11915 | |
dc.description | Includes abstract. | en_ZA |
dc.description.abstract | Lack of adaptive-predictor models in software development renders the decision-making process complex, principally when evaluating investment options. Prior work has presented various approaches which are still non-integrated, requiring rigour to embrace overall economic value and uncertainty management. In this study. a complex Adaptive Software Engineering Framework which uses the Actor objective Dependency Analysis (AOD) technique is proposed as a feasible option. It is aimed at providing a useful technique for monitoring and controlling value propositions in terms of cost, schedule, and progress of complex issues in software. | en_ZA |
dc.language.iso | eng | en_ZA |
dc.subject.other | Computer Science | en_ZA |
dc.title | Managing economic value and uncertainty on software projects : an empirical study with the CASSE framework | en_ZA |
dc.type | Thesis | en_ZA |
dc.type.qualificationlevel | Doctoral | en_ZA |
dc.type.qualificationname | PhD | en_ZA |
dc.publisher.institution | University of Cape Town | |
dc.publisher.faculty | Faculty of Science | en_ZA |
dc.publisher.department | Department of Computer Science | en_ZA |