short-paper

CRSearcher: Searching Code Database for Repairing Bugs

Authors:

Hao ZhongAuthors Info & Claims

Internetware '17: Proceedings of the 9th Asia-Pacific Symposium on Internetware

Article No.: 16, Pages 1 - 6

https://doi.org/10.1145/3131704.3131720

Published: 23 September 2017 Publication History

Abstract

With the exponentially rising of software development in the past decades, millions of software products have been created. Existing empirical studies show that many code snippets are similar. Although there exist many difficulties in maintaining these similar code snippets, we believe that it is feasible to leverage the similarity to enhance program repairs, as bugs may have already been repaired in many other similar code snippets.

In this paper, we propose CRSearcher, an approach, that searches open-sourced codebases and uses similar code to repair bugs. It is designed with insights from three observations: small patch, code redundancy, and the availability of open-sourced software repositories. With these insights, CRSearcher provides the engineers with an interactive strategy for program repair which automatically locates bug location, searches for similar code, and recommends code snippets as an aid, but allows developers to make a final decision.

We have implemented CRSearcher on the basis of the state-of-the-art techniques such as Findbugs and a token-based similar code snippets search engine. In our evaluation, we have built a code database that consists of several open-source projects. Our evaluation results show that CRSearcher does help generating high quality program patches, and reduce more than 50% time on repairing six buggy programs.

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Cited By

Yang CSpinellis DGousios GChechik MDi Penta M(2021)Accelerating redundancy-based program repair via code representation learning and adaptive patch filteringProceedings of the 29th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering10.1145/3468264.3473496(1672-1674)Online publication date: 20-Aug-2021
https://dl.acm.org/doi/10.1145/3468264.3473496

Index Terms

CRSearcher: Searching Code Database for Repairing Bugs
1. Software and its engineering
  1. Software creation and management
    1. Software post-development issues
      1. Maintaining software

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cover image ACM Other conferences

Internetware '17: Proceedings of the 9th Asia-Pacific Symposium on Internetware

September 2017

172 pages

ISBN:9781450353137

DOI:10.1145/3131704

Conference Chairs:
Hong Mei,
Jian Lyu,
Zhi Jin,
Wenyun Zhao

Copyright © 2017 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Fudan University
SIGSOFT: ACM Special Interest Group on Software Engineering
CCF: China Computer Federation

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 23 September 2017

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Internetware'17

Internetware'17: The Eighth Asia-Pacific Symposium on Internetware

September 23, 2017

Shanghai, China

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Cited By

Yang CSpinellis DGousios GChechik MDi Penta M(2021)Accelerating redundancy-based program repair via code representation learning and adaptive patch filteringProceedings of the 29th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering10.1145/3468264.3473496(1672-1674)Online publication date: 20-Aug-2021
https://dl.acm.org/doi/10.1145/3468264.3473496

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