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 Outdated specification adds challenge to the understanding of the code base during maintenance tasks.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