NDLI: Calysto

Content Provider	IEEE Xplore Digital Library
Author	Babic, D. Hu, A.J.
Copyright Year	2008
Description	Author affiliation: Dept. of Comput. Sci., Univ. of British Columbia, Vancouver, BC (Babic, D.; Hu, A.J.)
Abstract	Automatically detecting bugs in programs has been a long-held goal in software engineering. Many techniques exist, trading-off varying levels of automation, thoroughness of coverage of program behavior, precision of analysis, and scalability to large code bases. This paper presents the Calysto static checker, which achieves an unprecedented combination of precision and scalability in a completely automatic extended static checker. Calysto is interprocedurally path-sensitive, fully context-sensitive, and bit-accurate in modeling data operations - comparable coverage and precision to very expensive formal analyses - yet scales comparably to the leading, less precise, static-analysis-based tool for similar properties. Using Calysto, we have discovered dozens of bugs, completely automatically, in hundreds of thousands of lines of production, open-source applications, with a very low rate of false error reports. This paper presents the design decisions, algorithms, and optimizations behind Calysto's performance.
Starting Page	211
Ending Page	220
File Size	226810
Page Count	10
File Format	PDF
ISBN	9781424444861
ISSN	02705257
e-ISBN	9781605580791
DOI	10.1145/1368088.1368118
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-05-10
Publisher Place	Germany
Access Restriction	Subscribed
Rights Holder	Association for Computing Machinery, Inc. (ACM)
Subject Keyword	Scalability Computer bugs Automation Software testing Formal verification Java Computer science Permission Software engineering Context modeling static checking formal verification static analysis
Content Type	Text
Resource Type	Article
Subject	Software

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