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Erschienen in:
2006 | OriginalPaper | Buchkapitel
Applying Little-JIL to Describe Process-Agent Knowledge in SoftPM
verfasst von : Junchao Xiao, Leon J. Osterweil, Lei Zhang, Alexander Wise, Qing Wang
Erschienen in: Software Process Change
Verlag: Springer Berlin Heidelberg
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In a software process modeling method based upon the Organization-Entity capability, the Process-Agent is a well-defined unit whose role is to encapsulate an entity’s knowledge, skill etc. The Process-Agent’s infrastructure comprises descriptive knowledge, process knowledge and an experience library. The process knowledge is represented by process steps, whose execution determines the behaviors of the Process-Agent. This causes Process-Agent knowledge to be precisely described and well organized. In this paper, Little-JIL, a well-known process modeling language, is used to define a Process-Agent’s process knowledge. Benefits for process element knowledge representation arising from Little-JIL’s simplicity, semantic richness, expressiveness, formal and precise yet graphical syntax etc., are described.