DocumentCode :
3777296
Title :
A method for identification of crosscutting concerns based on goal model and two-state algorithm
Author :
Chengwan He; Shuiqin Ye
Author_Institution :
School of Computer Science and Engineering, Wuhan Institute of technology, China
Volume :
1
fYear :
2015
Firstpage :
431
Lastpage :
435
Abstract :
To identify crosscutting concerns in the requirement phase, this paper proposes a method for discovering crosscutting concerns based on goal model and two-state algorithm. We analyze each phenomena of goal model and summarize the identification rules. Crosscutting concerns are identified by calculating the scatter and centralization values of goals. The method includes four steps: building the goal model, transforming the goal model, discovering the crosscutting concerns by identification rules, and composing the crosscutting concerns with the goals affected by them. We illustrate the method through a case study (a ticket booking management system). The results show that the two-state algorithm can more effectively identify crosscutting concerns in the requirement phase.
Keywords :
"Analytical models","Computational modeling","Software","XML","Business","Atmospheric modeling"
Publisher :
ieee
Conference_Titel :
Computer Science and Network Technology (ICCSNT), 2015 4th International Conference on
Type :
conf
DOI :
10.1109/ICCSNT.2015.7490784
Filename :
7490784
Link To Document :
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