Managing economic value and uncertainty on software projects : an empirical study with the CASSE framework
Includes abstract. === Includes bibliographical references (p. 189-199). === 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-integrat...
Main Author: | |
---|---|
Other Authors: | |
Format: | Doctoral Thesis |
Language: | English |
Published: |
University of Cape Town
2015
|
Subjects: | |
Online Access: | http://hdl.handle.net/11427/11915 |
id |
ndltd-netd.ac.za-oai-union.ndltd.org-uct-oai-localhost-11427-11915 |
---|---|
record_format |
oai_dc |
spelling |
ndltd-netd.ac.za-oai-union.ndltd.org-uct-oai-localhost-11427-119152020-07-22T05:07:30Z Managing economic value and uncertainty on software projects : an empirical study with the CASSE framework Balikuddembe, Joseph Kibombo Bagula, Antoine Computer Science Includes abstract. Includes bibliographical references (p. 189-199). 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. 2015-01-10T06:57:35Z 2015-01-10T06:57:35Z 2009 Doctoral Thesis Doctoral PhD http://hdl.handle.net/11427/11915 eng application/pdf University of Cape Town Faculty of Science Department of Computer Science |
collection |
NDLTD |
language |
English |
format |
Doctoral Thesis |
sources |
NDLTD |
topic |
Computer Science |
spellingShingle |
Computer Science Balikuddembe, Joseph Kibombo Managing economic value and uncertainty on software projects : an empirical study with the CASSE framework |
description |
Includes abstract. === Includes bibliographical references (p. 189-199). === 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. |
author2 |
Bagula, Antoine |
author_facet |
Bagula, Antoine Balikuddembe, Joseph Kibombo |
author |
Balikuddembe, Joseph Kibombo |
author_sort |
Balikuddembe, Joseph Kibombo |
title |
Managing economic value and uncertainty on software projects : an empirical study with the CASSE framework |
title_short |
Managing economic value and uncertainty on software projects : an empirical study with the CASSE framework |
title_full |
Managing economic value and uncertainty on software projects : an empirical study with the CASSE framework |
title_fullStr |
Managing economic value and uncertainty on software projects : an empirical study with the CASSE framework |
title_full_unstemmed |
Managing economic value and uncertainty on software projects : an empirical study with the CASSE framework |
title_sort |
managing economic value and uncertainty on software projects : an empirical study with the casse framework |
publisher |
University of Cape Town |
publishDate |
2015 |
url |
http://hdl.handle.net/11427/11915 |
work_keys_str_mv |
AT balikuddembejosephkibombo managingeconomicvalueanduncertaintyonsoftwareprojectsanempiricalstudywiththecasseframework |
_version_ |
1719330034671419392 |