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