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Automatically describing software faults

Published: 18 August 2013 Publication History

Abstract

A developers ability to successfully debug a fault is directly related to their ability to comprehend the fault. Notwithstanding improvements in software-maintenance automation, this fault comprehension task remains largely manual and time consuming. I propose an automated approach to describe software faults, thus ameliorating comprehension and reducing manual effort. My approach leverages dynamic analysis, fault localization, and source-code mining to produce a succinct, natural-language fault summary.

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cover image ACM Conferences
ESEC/FSE 2013: Proceedings of the 2013 9th Joint Meeting on Foundations of Software Engineering
August 2013
738 pages
ISBN:9781450322379
DOI:10.1145/2491411
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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Publication History

Published: 18 August 2013

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Author Tags

  1. Automated Testing
  2. Debugging
  3. Fault Comprehension
  4. Latent Semantic Analysis

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