Title
Applying Little-JIL to describe process-agent knowledge in SoftPM
Abstract
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.
Year
DOI
Venue
2006
10.1007/11754305_24
SPW/ProSim
Keywords
Field
DocType
skill etc.,descriptive knowledge,process-agent knowledge,experience library,organization-entity capability,process element knowledge representation,process step,process knowledge,well-known process modeling language,software process modeling method,process model,knowledge representation
Procedural knowledge,Descriptive knowledge,Software engineering,Domain knowledge,Computer science,IDEF3,Knowledge-based systems,Knowledge management,Knowledge engineering,Knowledge extraction,Open Knowledge Base Connectivity,Distributed computing
Conference
Volume
ISSN
ISBN
3966
0302-9743
3-540-34199-4
Citations 
PageRank 
References 
2
0.36
4
Authors
5
Name
Order
Citations
PageRank
Junchao Xiao19512.30
Leon J. Osterweil21826343.87
Lei Zhang3595.60
Alexander Wise434227.75
Qing Wang525722.01