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Enhanced playback of automated service emulation models using entropy analysis

Versteeg, Steve, Du, Miao, Bird, John, Schneider, Jean-Guy, Grundy, John and Han, Jun 2016, Enhanced playback of automated service emulation models using entropy analysis, in ICSE 2016: Workshop on Continuous Software Evolution and Delivery : Proceedings of the 38th Software Engineering International Conference, Association for Computing Machinery, New York, N.Y., pp. 49-55, doi: 10.1145/2896941.2896950.

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Title Enhanced playback of automated service emulation models using entropy analysis
Author(s) Versteeg, Steve
Du, Miao
Bird, John
Schneider, Jean-Guy
Grundy, JohnORCID iD for Grundy, John orcid.org/0000-0003-4928-7076
Han, Jun
Conference name Software Engineering. International Conference (38th : 2016 : Austin, Texas)
Conference location Austin, Texas
Conference dates 14-22 May 2016
Title of proceedings ICSE 2016: Workshop on Continuous Software Evolution and Delivery : Proceedings of the 38th Software Engineering International Conference
Editor(s) [Unknown]
Publication date 2016
Conference series Software Engineering International Conference
Start page 49
End page 55
Total pages 7
Publisher Association for Computing Machinery
Place of publication New York, N.Y.
Keyword(s) Science & Technology
Technology
Computer Science, Software Engineering
Engineering, Electrical & Electronic
Computer Science
Engineering
Summary Service virtualisation is a supporting tool for DevOps to generate interactive service models of dependency systems on which a system-under-test relies. These service models allow applications under development to be continuously tested against production-like conditions. Generating these virtual service models requires expert knowledge of the service protocol, which may not always be available. However, service models may be generated automatically from network traces. Previous work has used the Needleman-Wunsch algorithm to select a response from the service model to play back for a live request. We propose an extension of the Needleman-Wunsch algorithm, which uses entropy analysis to automatically detect the critical matching fields for selecting a response. Empirical tests against four enterprise protocols demonstrate that entropy weighted matching can improve response accuracy.
ISBN 9781450341578
Language eng
DOI 10.1145/2896941.2896950
Field of Research 080309 Software Engineering
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category E1 Full written paper - refereed
ERA Research output type E Conference publication
Grant ID LP150100892
Copyright notice ©2016, The Authors
Persistent URL http://hdl.handle.net/10536/DRO/DU:30086194

Document type: Conference Paper
Collection: School of Information Technology
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