Agent-based unit testing environment for extreme programming

Authors:
Yong-Feng Lin;Ming-Wei Huang;Jason Jen-Yen Chen
Affiliations:
Department of Computer Science and Information Engineering, National Central University, Chung-Li, Taiwan;Department of Computer Science and Information Engineering, National Central University, Chung-Li, Taiwan;Department of Computer Science and Information Engineering, National Central University, Chung-Li, Taiwan
Venue:
Journal of Computational Methods in Sciences and Engineering - Selected papers from the International Conference on Computer Science, Software Engineering, Information Technology, e-Business, and Applications, 2004
Year:
2006

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Abstract

This paper presents a new approach of using multi-agent system (MAS) to build a software engineering environment to support unit testing process for extreme programming (XP). The MAS reference model by Foundation for Intelligent Physical Agents (FIPA) is extended in this paper. The extended components are: 1) agent roles, 2) storage components, and 3) ontology. The FIPA-complied Java Agent Development framework (JADE) agent platform is used in implementation. The Darpa agent mark-up language (DAML) is used as process data format, including ontology. And, JENA API by Hewlett-Packard (HP) is used to store DAML ontology. Further, examples are given to show feasibility of this approach. The expected benefits of this agent-based approach are to: 1) Improve environment flexibility and reliability, 2) Facilitate XP practices, and 3) Use DAML format that is suitable for agents.