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Towards automatic compositional performance analysis of component-based systems
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Source Workshop on Software and Performance archive
Proceedings of the 4th international workshop on Software and performance table of contents
Redwood Shores, California
SESSION: Performance analysis table of contents
Pages: 59 - 63  
Year of Publication: 2004
ISBN ~ ISSN:0163-5948 , 1-58113-673-0
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Authors
Vincenzo Grassi  Università di Roma "Tor Vergata", Roma, Italy
Raffaela Mirandola  Università di Roma "Tor Vergata", Roma, Italy
Sponsors
SIGMETRICS: ACM Special Interest Group on Measurement and Evaluation
SIGSOFT: ACM Special Interest Group on Software Engineering
Publisher
ACM  New York, NY, USA
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ABSTRACT

To make predictive analysis an effective tool for component-based software development (CBSD), it should be, as much as possible: compositional, to allow the re-use of known information about the properties of existing components, and automatic, to keep the pace with the timeliness and cost-effectiveness promises of CBSD. Towards this end, focusing on the predictive analysis of performance properties, we define a simple language, based on an abstract component model, to describe a component assembly, outlining which information should be included in it to support compositional performance analysis. Moreover, we outline a mapping of the constructs of the proposed language to elements of the RT-UML Profile, to give them a precisely defined "performance semantics", and to get a starting point for the exploitation of proposed UML-based methodologies and algorithms for performance analysis.


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.

 
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A. Bertolino, R. Mirandola "Towards Component-Based Software Performance Engineering", in Proc. of 6th ICSE Workshop on Component-Based Software Engineering (CBSE 2003), pp. 1--6.
 
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B. Selic "UML-RT: A profile for modeling complex real-time architectures" Draft, ObjecTime Limited, Dec. 1999.
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Collaborative Colleagues:
Vincenzo Grassi: colleagues
Raffaela Mirandola: colleagues

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