Applying Little-JIL to describe process-agent knowledge in SoftPM

Authors:
Junchao Xiao;Leon J. Osterweil;Lei Zhang;Alexander Wise;Qing Wang
Affiliations:
Laboratory for Internet Software Technologies, Institute of Software, The Chinese Academy of Sciences, Beijing, China;Department of Computer Science, University of Massachusetts, Amherst, MA;Laboratory for Internet Software Technologies, Institute of Software, The Chinese Academy of Sciences, Beijing, China;Department of Computer Science, University of Massachusetts, Amherst, MA;Laboratory for Internet Software Technologies, Institute of Software, The Chinese Academy of Sciences, Beijing, China
Venue:
SPW/ProSim'06 Proceedings of the 2006 international conference on Software Process Simulation and Modeling
Year:
2006

Citing 6
Cited 1

The design of a next-generation process language

ESEC '97/FSE-5 Proceedings of the 6th European SOFTWARE ENGINEERING conference held jointly with the 5th ACM SIGSOFT international symposium on Foundations of software engineering
Coordinating agent activities in knowledge discovery processes

WACC '99 Proceedings of the international joint conference on Work activities coordination and collaboration
Little-JIL 1.0 Language Report TITLE2:

Little-JIL 1.0 Language Report TITLE2:
Formally Defining Coordination Processes to Support Contract Negotiation

Formally Defining Coordination Processes to Support Contract Negotiation
Applying agent technology to software process modeling and process-centered software engineering environment

Proceedings of the 2005 ACM symposium on Applied computing
Software process management: practices in china

SPW'05 Proceedings of the 2005 international conference on Unifying the Software Process Spectrum

A tool to create process-agents for OEC-SPM from historical project data

ICSP'07 Proceedings of the 2007 international conference on Software process

Quantified Score

Hi-index	0.00

Visualization

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.