DocumentCode :
468408
Title :
Towards a Dynamic Ontology Based Software Project Management Antipattern Intelligent System
Author :
Settas, Dimitrios ; Stamelos, Ioannis
Author_Institution :
Aristotle Univ. of Thessaloniki, Thessaloniki
Volume :
1
fYear :
2007
fDate :
29-31 Oct. 2007
Firstpage :
186
Lastpage :
193
Abstract :
The Software Project Management Antipattern Intelligent System (PROMAISE) is proposed as a Web-enabled knowledge-base framework that uses antipattern OWL ontologies in order to provide intelligent and up to date advice to software project managers regarding the selection of appropriate antipatterns in a software project. Antipatterns provide information on commonly occurring solutions to problems that generate negative consequences. These mechanisms are documented using informal paper based structures that do not readily support knowledge sharing and reuse. Antipattern OWL ontologies can be used to build a dynamic antipattern knowledge base, which can update itself automatically. This will allow the accessibility and transferability of up-to-date computer-mediated software project management knowledge to software project managers by encoding antipatterns into computer understandable ontologies. PROMAISE can function with this knowledge base in order to assist software project managers in the process of selecting applicable antipatterns.
Keywords :
Internet; knowledge based systems; knowledge representation languages; ontologies (artificial intelligence); project management; software management; OWL; Web-enabled knowledge-base framework; dynamic ontology; software project management antipattern intelligent system; Artificial intelligence; Collaborative software; Informatics; Intelligent systems; Knowledge management; OWL; Ontologies; Project management; Semantic Web; Software tools;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Tools with Artificial Intelligence, 2007. ICTAI 2007. 19th IEEE International Conference on
Conference_Location :
Patras
ISSN :
1082-3409
Print_ISBN :
978-0-7695-3015-4
Type :
conf
DOI :
10.1109/ICTAI.2007.43
Filename :
4410282
Link To Document :
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