DocumentCode :
1566783
Title :
Aspect mining using event traces
Author :
Breu, Silvia ; Krinke, Jens
Author_Institution :
MCT-NASA Ames, Silicon Valley, CA, USA
fYear :
2004
Firstpage :
310
Lastpage :
315
Abstract :
Aspect mining tries to identify crosscutting concerns in existing systems and thus supports the adaption to an aspect-oriented design. This work describes the first aspect mining approach that detects crosscutting concerns in legacy systems based on dynamic analysis. The analysis uses program traces that are generated in different program executions as underlying data pool. These traces are then investigated for recurring execution patterns based on different constraints, such as the requirement that the patterns have to exist in different calling contexts in the program trace. The implemented approach was evaluated in several case studies over systems with more than 80 kLoC. The tool was able to identify automatically both existing and seeded crosscutting concerns.
Keywords :
object-oriented programming; software maintenance; system monitoring; aspect mining; aspect-oriented design; dynamic analysis; event traces; execution patterns; legacy systems; program executions; program trace; program traces; Algorithm design and analysis; Data mining; Heuristic algorithms; Information analysis; NASA; Runtime; Software algorithms; Software maintenance; Software systems; Timing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Automated Software Engineering, 2004. Proceedings. 19th International Conference on
ISSN :
1938-4300
Print_ISBN :
0-7695-2131-2
Type :
conf
DOI :
10.1109/ASE.2004.1342754
Filename :
1342754
Link To Document :
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