DocumentCode
827819
Title
Static Specification Mining Using Automata-Based Abstractions
Author
Shoham, Sharon ; Yahav, Eran ; Fink, Stephen J. ; Pistoia, Marco
Author_Institution
Comput. Sci. Dept., Technion - Israel Inst. of Technol., Haifa
Volume
34
Issue
5
fYear
2008
Firstpage
651
Lastpage
666
Abstract
We present a novel approach to client-side mining of temporal API specifications based on static analysis. Specifically, we present an interprocedural analysis over a combined domain that abstracts both aliasing and event sequences for individual objects. The analysis uses a new family of automata-based abstractions to represent unbounded event sequences, designed to disambiguate distinct usage patterns and merge similar usage patterns. Additionally, our approach includes an algorithm that summarizes abstract traces based on automata clusters, and effectively rules out spurious behaviors. We show experimental results mining specifications from a number of Java clients and APIs. The results indicate that effective static analysis for client-side mining requires fairly precise treatment of aliasing and abstract event sequences. Based on the results, we conclude that static client-side specification mining shows promise as a complement or alternative to dynamic approaches.
Keywords
Java; application program interfaces; data mining; finite automata; formal specification; program diagnostics; Java clients; abstract event sequences; automata-based abstractions; client-side mining; distinct usage patterns; static analysis; static specification mining; temporal API specifications; Formal methods; Software/Program Verification; Specification; Specifying and Verifying and Reasoning about Programs; Validation;
fLanguage
English
Journal_Title
Software Engineering, IEEE Transactions on
Publisher
ieee
ISSN
0098-5589
Type
jour
DOI
10.1109/TSE.2008.63
Filename
4589215
Link To Document