GenProg: A generic method for automatic software repair

Claire Le Goues, Thanh Vu Nguyen, Stephanie Forrest, Westley Weimer

Research output: Contribution to journalArticle

378 Scopus citations

Abstract

This paper describes GenProg, an automated method for repairing defects in off-the-shelf, legacy programs without formal specifications, program annotations, or special coding practices. GenProg uses an extended form of genetic programming to evolve a program variant that retains required functionality but is not susceptible to a given defect, using existing test suites to encode both the defect and required functionality. Structural differencing algorithms and delta debugging reduce the difference between this variant and the original program to a minimal repair. We describe the algorithm and report experimental results of its success on 16 programs totaling 1.25 M lines of C code and 120K lines of module code, spanning eight classes of defects, in 357 seconds, on average. We analyze the generated repairs qualitatively and quantitatively to demonstrate that the process efficiently produces evolved programs that repair the defect, are not fragile input memorizations, and do not lead to serious degradation in functionality.

Original languageEnglish (US)
Article number6035728
Pages (from-to)54-72
Number of pages19
JournalIEEE Transactions on Software Engineering
Volume38
Issue number1
DOIs
StatePublished - Feb 13 2012
Externally publishedYes

Keywords

  • Automatic programming
  • corrections
  • testing and debugging

ASJC Scopus subject areas

  • Software

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