DocumentCode :
3118386
Title :
Variation-Oriented Analysis for SOA Solution Design
Author :
Zhang, Liang-Jie ; Arsanjani, Ali ; Allam, Abdul ; Lu, Dingding ; Chee, Yi-Min
Author_Institution :
IBM Corp., Armonk
fYear :
2007
fDate :
9-13 July 2007
Firstpage :
560
Lastpage :
568
Abstract :
Many systems are built with very little foresight for incorporating changes resulting from new requirements. This paper provides a systematic way and normative guidance to analyze the variations in SOA solution design. During SOA solution design, two types of change- oriented analysis patterns, variation-oriented analysis (VOA) and event-driven change analysis (EDCA), are proposed to create a resilient design that is adaptive to changes. Specifically, a meta-data model and associated assets for solution design are introduced first to capture the information context for SOA solution design. Then a new change propagation analysis process is presented to summarize the variation identification, variation impact assessment, variation impact path identification, variation analysis and decision making. Based on these two techniques, this paper creates a set of normative guidance for the variation oriented design. These guidelines include but not limited to the artifact type, variation description, variation type, variation artifacts, and impact analysis.
Keywords :
decision making; meta data; program diagnostics; software architecture; artifact type; associated assets; change- oriented analysis patterns; decision making; event-driven change analysis; meta-data model; service-oriented architecture solution design; variation artifacts; variation description; variation impact assessment; variation impact path identification; variation type; variation-oriented analysis; Constraint optimization; Design optimization; Java; Monitoring; Pattern analysis; Process design; Publishing; Quality of service; Semiconductor optical amplifiers; Service oriented architecture;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Services Computing, 2007. SCC 2007. IEEE International Conference on
Conference_Location :
Salt Lake City, UT
Print_ISBN :
0-7695-2925-9
Type :
conf
DOI :
10.1109/SCC.2007.127
Filename :
4278704
Link To Document :
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