Design patterns: elements of reusable object-oriented software
Design patterns: elements of reusable object-oriented software
Decision Support Systems and Intelligent Systems
Decision Support Systems and Intelligent Systems
AntiPractices: AntiPatterns for XP Practices
ADC '04 Proceedings of the Agile Development Conference
Using Bayesian Belief Networks to Model Software Project Management Antipatterns
SERA '06 Proceedings of the Fourth International Conference on Software Engineering Research, Management and Applications
Antipatterns in the Creation of Intelligent Systems
IEEE Intelligent Systems
Pellet: A practical OWL-DL reasoner
Web Semantics: Science, Services and Agents on the World Wide Web
Web Semantics: Science, Services and Agents on the World Wide Web
The Most Important Service-Oriented Antipatterns
ICSEA '07 Proceedings of the International Conference on Software Engineering Advances
Towards a Dynamic Ontology Based Software Project Management Antipattern Intelligent System
ICTAI '07 Proceedings of the 19th IEEE International Conference on Tools with Artificial Intelligence - Volume 01
Web Semantics: Science, Services and Agents on the World Wide Web
HOOPO: A Hybrid Object-Oriented Integration of Production Rules OWL Ontologies
Proceedings of the 2008 conference on ECAI 2008: 18th European Conference on Artificial Intelligence
FaCT++ description logic reasoner: system description
IJCAR'06 Proceedings of the Third international joint conference on Automated Reasoning
Data & Knowledge Engineering
Enhancing ontology-based antipattern detection using Bayesian networks
Expert Systems with Applications: An International Journal
SWRL2COOL: object-oriented transformation of SWRL in the CLIPS production rule engine
SETN'12 Proceedings of the 7th Hellenic conference on Artificial Intelligence: theories and applications
Specification and detection of SOA antipatterns
ICSOC'12 Proceedings of the 10th international conference on Service-Oriented Computing
Hi-index | 12.05 |
Antipatterns provide information on commonly occurring solutions to problems that generate negative consequences. The number of software project management antipatterns that appears in the literature and the Web increases to the extent that makes using antipatterns problematic. Furthermore, antipatterns are usually inter-related and rarely appear in isolation. As a result, detecting which antipatterns exist in a software project is a challenging task which requires expert knowledge. This paper proposes SPARSE, an OWL ontology based knowledge-based system that aims to assist software project managers in the antipattern detection process. The antipattern ontology documents antipatterns and how they are related with other antipatterns through their causes, symptoms and consequences. The semantic relationships that derive from the antipattern definitions are determined using the Pellet DL reasoner and they are transformed into the COOL language of the CLIPS production rule engine. The purpose of this transformation is to create a compact representation of the antipattern knowledge, enabling a set of object-oriented CLIPS production rules to run and retrieve antipatterns relevant to some initial symptoms. SPARSE is exemplified through 31 OWL ontology antipattern instances of software development antipatterns that appear on the Web.