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dc.contributor.authorChen, LSen_US
dc.contributor.authorPei, Yen_US
dc.contributor.authorFuria, CAen_US
dc.identifier.citationASE 2017 - Proceedings of the 32nd IEEE/ACM International Conference on Automated Software Engineering, 2017, 8115674, p. 637-647en_US
dc.identifier.isbn978-1-5386-2684-9 (electronic)en_US
dc.identifier.isbn978-1-5386-3976-4 (Print on Demand(PoD))en_US
dc.description2017 32nd IEEE/ACM International Conference on Automated Software Engineering (ASE), Urbana, IL, USA, 30 Oct.-3 Nov. 2017en_US
dc.description.abstractAutomated program repair (APR) is a promising approach to automatically fixing software bugs. Most APR techniques use tests to drive the repair process; this makes them readily applicable to realistic code bases, but also brings the risk of generating spurious repairs that overfit the available tests. Some techniques addressed the overfitting problem by targeting code using contracts (such as pre- and postconditions), which provide additional information helpful to characterize the states of correct and faulty computations; unfortunately, mainstream programming languages do not normally include contract annotations, which severely limits the applicability of such contract-based techniques. This paper presents JAID, a novel APR technique for Java programs, which is capable of constructing detailed state abstractions - similar to those employed by contract-based techniques - that are derived from regular Java code without any special annotations. Grounding the repair generation and validation processes on rich state abstractions mitigates the overfitting problem, and helps extend APR's applicability: in experiments with the DEFECTS4J benchmark, a prototype implementation of JAID produced genuinely correct repairs, equivalent to those written by programmers, for 25 bugs - improving over the state of the art of comparable Java APR techniques in the number and kinds of correct fixes.en_US
dc.description.sponsorshipDepartment of Computingen_US
dc.rights© 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.en_US
dc.rightsThe following publication L. Chen, Y. Pei and C. A. Furia, "Contract-based program repair without the contracts," 2017 32nd IEEE/ACM International Conference on Automated Software Engineering (ASE), Urbana, IL, 2017, pp. 637-647 is available at
dc.titleContract-based program repair without the contractsen_US
dc.typeConference Paperen_US
dc.relation.ispartofbookASE 2017 - Proceedings of the 32nd IEEE/ACM International Conference on Automated Software Engineeringen_US
dc.relation.conferenceIEEE/ACM International Conference on Automated Software Engineering [ASE]en_US
dc.description.validate201807 bcwhen_US
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