DocumentCode :
3198147
Title :
Mining specifications in diversified formats from execution traces
Author :
Lo, David
Author_Institution :
Dept. of Comput. Sci., Nat. Univ. of Singapore, Singapore
fYear :
2008
fDate :
Sept. 28 2008-Oct. 4 2008
Firstpage :
420
Lastpage :
423
Abstract :
Software evolves; this phenomenon causes increase in maintenance efforts, problem in comprehending the ever-changing code base and difficulty in verifying software correctness. As software changes, often the documented specification is not updated. Outdated specification adds challenge to the understanding of the code base during maintenance tasks. Also, software changes might induce bugs, anomalies and even security threats. To address the above issues, we propose an array of specification mining techniques to mine software specifications in diversified formats from program execution traces. Case studies on various systems show that the extracted specifications shed light on the behaviors of systems under analysis. Also, mined specifications can be input to existing model checkers, other formal analysis toolkits, or runtime monitors to discover bugs and anomalies.
Keywords :
software maintenance; diversified formats; mining specification; program execution traces; software evolution; Computer bugs; Computer science; Filtering; Learning automata; Robustness; Runtime; Scalability; Security; Software maintenance; Software tools;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Software Maintenance, 2008. ICSM 2008. IEEE International Conference on
Conference_Location :
Beijing
ISSN :
1063-6773
Print_ISBN :
978-1-4244-2613-3
Electronic_ISBN :
1063-6773
Type :
conf
DOI :
10.1109/ICSM.2008.4658094
Filename :
4658094
Link To Document :
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