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Computer Science > Software Engineering

arXiv:1807.05092 (cs)
[Submitted on 12 Jul 2018 (v1), last revised 10 Oct 2019 (this version, v3)]

Title:IntRepair: Informed Repairing of Integer Overflows

Authors:Paul Muntean, Martin Monperrus, Hao Sun, Jens Grossklags, Claudia Eckert
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Abstract:Integer overflows have threatened software applications for decades. Thus, in this paper, we propose a novel technique to provide automatic repairs of integer overflows in C source code. Our technique, based on static symbolic execution, fuses detection, repair generation and validation. This technique is implemented in a prototype named IntRepair. We applied IntRepair to 2,052C programs (approx. 1 million lines of code) contained in SAMATE's Juliet test suite and 50 synthesized programs that range up to 20KLOC. Our experimental results show that IntRepair is able to effectively detect integer overflows and successfully repair them, while only increasing the source code (LOC) and binary (Kb) size by around 1%, respectively. Further, we present the results of a user study with 30 participants which shows that IntRepair repairs are more than 10x efficient as compared to manually generated code repairs
Comments: Accepted for publication at the IEEE TSE journal. arXiv admin note: text overlap with arXiv:1710.03720
Subjects: Software Engineering (cs.SE)
Cite as: arXiv:1807.05092 [cs.SE]
  (or arXiv:1807.05092v3 [cs.SE] for this version)
  https://doi.org/10.48550/arXiv.1807.05092
Journal reference: IEEE Transactions on Software Engineering, 2019
Related DOI: https://doi.org/10.1109/tse.2019.2946148

Submission history

From: Paul Muntean [view email]
[v1] Thu, 12 Jul 2018 15:21:58 UTC (1,579 KB)
[v2] Sat, 28 Sep 2019 11:38:38 UTC (1,992 KB)
[v3] Thu, 10 Oct 2019 14:32:36 UTC (2,007 KB)
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Paul Muntean
Martin Monperrus
Hao Sun
Jens Grossklags
Claudia Eckert
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