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.
['Dimitrios Settas', 'Ioannis Stamelos']
Towards a Dynamic Ontology Based Software Project Management Antipattern Intelligent System