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Bixie: Finding and understanding inconsistent code
SRI Int, 333 Ravenswood Ave, Menlo Pk, CA 94025 USA.
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems. (Embedded Systems)ORCID iD: 0000-0002-2733-7098
SRI Int, 333 Ravenswood Ave, Menlo Pk, CA 94025 USA.
2015 (English)In: Proc. 37th IEEE/ACM International Conference on Software Engineering, Piscataway, NJ: IEEE , 2015, Vol. 2, 645-648 p.Conference paper, Published paper (Refereed)
Abstract [en]

We present Bixie, a tool to detect inconsistencies in Java code. Bixie detects inconsistent code at a higher precision than previous tools and provides novel fault localization techniques to explain why code is inconsistent. We demonstrate the usefulness of Bixie on over one million lines of code, show that it can detect inconsistencies at a low false alarm rate, and fix a number of inconsistencies in popular open-source projects. Watch our Demo at http://youtu.be/QpsoUBJMxhk.

Place, publisher, year, edition, pages
Piscataway, NJ: IEEE , 2015. Vol. 2, 645-648 p.
National Category
Computer Science
Identifiers
URN: urn:nbn:se:uu:diva-268731DOI: 10.1109/ICSE.2015.213ISI: 000380572400091ISBN: 9781479919345 (print)OAI: oai:DiVA.org:uu-268731DiVA: diva2:878789
Conference
ICSE 2015, May 16–24, Florence, Italy
Funder
Swedish Research Council, 2014-5484
Available from: 2015-12-09 Created: 2015-12-09 Last updated: 2016-09-15Bibliographically approved

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Rümmer, Philipp

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