Visual representation of stochastic process algebra models

Subscribe (Full Service)


	Search: The ACM Digital Library The Guide

	Feedback

Visual representation of stochastic process algebra models

Full text

Pdf (29 KB)

Source

Workshop on Software and Performance archive
Proceedings of the 2nd international workshop on Software and performance table of contents

Ottawa, Ontario, Canada

Pages: 18 - 19

Year of Publication: 2000

ISBN:1-58113-195-X

Authors

Nigel Thomas	Research Institute in Software Evolution, University of Durham, Durham, UK
Malcolm Munro	Research Institute in Software Evolution, University of Durham, Durham, UK
Peter King	Department of Computing and Electrical Engineering, Heriot Watt University, Edinburgh, UK
Rob Pooley	Department of Computing and Electrical Engineering, Heriot Watt University, Edinburgh, UK

Sponsors

SIGSOFT: ACM Special Interest Group on Software Engineering
IFIP WG 6.3 : IFIP WG 6.3
SIGMETRICS: ACM Special Interest Group on Measurement and Evaluation
IFIP WG 7.3 : IFIP WG 7.3

Publisher

ACM New York, NY, USA

Bibliometrics

Downloads (6 Weeks): 0, Downloads (12 Months): 7, Citation Count: 0

Additional Information:

references index terms collaborative colleagues

Tools and Actions:	Request Permissions Review this Article Save this Article to a Binder Display Formats: BibTeX EndNote ACM Ref

DOI Bookmark:	Use this link to bookmark this Article: http://doi.acm.org/10.1145/350391.350397 What is a DOI?

REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

	1	G. Clark, S. Gilmore, J. Hillston, and N. Thomas, Experiences with the PEPA performance modelling tools, IEE Proceedings - Software, 146(1), 1999.
	2	D.R.W. Holton, A PEPA specification of an industrial production cell, The Computer Journal, 38(7), 1995.
	3	Claire Knight , Malcolm Munroe, Visualizing Software - A Key Research Area, Proceedings of the IEEE International Conference on Software Maintenance, p.437, August 30-September 03, 1999
	4	R.J. Pooley and P.J.B. King, Using UML to derive stochastic process algebra models, Proceedings of the Fifteenth UK Performance Engineering Workshop, 1999.
	5	P. Young , M. Munro, Visualizing Software in Virtual Reality, Proceedings of the 6th International Workshop on Program Comprehension, p.19, June 24-26, 1998
	6	R. Milner, Communication and concurrency, Prentice-Hall, Inc., Upper Saddle River, NJ, 1989