Towards a Dynamic Ontology Based Software Project Management Antipattern Intelligent System

Authors:
Dimitrios Settas;Ioannis Stamelos
Affiliations:
-;-
Venue:
ICTAI '07 Proceedings of the 19th IEEE International Conference on Tools with Artificial Intelligence - Volume 01
Year:
2007

Citing 0
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Detecting similarities in antipattern ontologies using semantic social networks: Implications for software project management

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Software project management anti-patterns

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Expert Systems with Applications: An International Journal

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Abstract

The Software Project Management Antipattern Intelli- gent System (PROMAISE) is proposed as a Web-enabled knowledge-base framework that uses antipattern OWL on- tologies in order to provide intelligent and up to date ad- vice to software project managers regarding the selection of appropriate antipatterns in a software project. Antipat- terns 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 up- date itself automatically. This will allow the accessibility and transferability of up-to-date computer-mediated soft- ware project management knowledge to software project managers by encoding antipatterns into computer under- standable ontologies. PROMAISE can function with this knowledge base in order to assist software project managers in the process of selecting applicable antipatterns. Keywords: Web-based Intelligent System, Antipattern Knowledge base, Antipattern OWL Ontology