Finding bugs in software with a constraint solver
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2004.
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| Format: | Thesis |
| Language: | eng |
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Massachusetts Institute of Technology
2006
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| Online Access: | http://hdl.handle.net/1721.1/30090 |
| _version_ | 1826216088351801344 |
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| author | Vaziri-Farahani, Mandana |
| author2 | Daniel N. Jackson. |
| author_facet | Daniel N. Jackson. Vaziri-Farahani, Mandana |
| author_sort | Vaziri-Farahani, Mandana |
| collection | MIT |
| description | Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2004. |
| first_indexed | 2024-09-23T16:42:09Z |
| format | Thesis |
| id | mit-1721.1/30090 |
| institution | Massachusetts Institute of Technology |
| language | eng |
| last_indexed | 2024-09-23T16:42:09Z |
| publishDate | 2006 |
| publisher | Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/300902019-04-12T09:06:38Z Finding bugs in software with a constraint solver Vaziri-Farahani, Mandana Daniel N. Jackson. Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. Electrical Engineering and Computer Science. Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2004. Includes bibliographical references (p. 99-101). We present a static technique for finding bugs in object-oriented procedures. It is capable of checking complex user-defined structural properties - that is, of the configuration of objects on the heap - and generates counterexample traces with no false alarms. It is modular, requires no user-provided abstractions, and is fully automatic. It is based on the Alloy modelling language and analyzer. The method relies on a three-step translation: from code to a formula in Alloy, which is a first-order relational logic, then to a propositional formula, and finally to conjunctive normal form. An off-the-shelf SAT solver is then used to find a solution that constitutes a counterexample. Modularity comes at the price of intermediate specifications. To minimize such annotations, the analysis contains a suite of optimizations that allow checking larger procedures with fewer annotations. The optimizations are based on a special treatment of relations that are known to be functional, and target all steps of the translation to CNF. Their effect is demonstrated with a prototype tool that can handle a subset of Java, by analyzing real code. by Mandana Vaziri-Farahani. Ph.D. 2006-03-24T18:18:33Z 2006-03-24T18:18:33Z 2004 2004 Thesis http://hdl.handle.net/1721.1/30090 55673127 eng M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 101 p. 6085880 bytes 6085686 bytes application/pdf application/pdf application/pdf Massachusetts Institute of Technology |
| spellingShingle | Electrical Engineering and Computer Science. Vaziri-Farahani, Mandana Finding bugs in software with a constraint solver |
| title | Finding bugs in software with a constraint solver |
| title_full | Finding bugs in software with a constraint solver |
| title_fullStr | Finding bugs in software with a constraint solver |
| title_full_unstemmed | Finding bugs in software with a constraint solver |
| title_short | Finding bugs in software with a constraint solver |
| title_sort | finding bugs in software with a constraint solver |
| topic | Electrical Engineering and Computer Science. |
| url | http://hdl.handle.net/1721.1/30090 |
| work_keys_str_mv | AT vazirifarahanimandana findingbugsinsoftwarewithaconstraintsolver |