Bugfix: a standard language, database schema and repository for research on bugs and automatic program repair

Automatic Program Repair (APR) is a brilliant idea: when detecting a bug, also provide suggestions for correcting the program. Progress towards that goal is hindered by the absence of a common frame of reference for the multiplicity of APR ideas, methods, tools, programming languages and environments. Bugfix is an effort at providing such a framework: a standardized set of notations, tools and interfaces, as well as a database of bugs and fixes, for use by the APR research community to try out ideas and compare results. The most directly visible component of the Bugfix effort is the Bugfix language, a human-readable formalism making it possible to describe elements of the following kinds: a bug (described abstractly, for example the permutation of two arguments in a call); a bug example (an actual occurrence of a bug, in a specific code written in a specific programming language, and usually recorded in some repository); a fix (a particular correction of a bug, obtained for example by reversing the misplaced arguments); an application (an entity that demonstrates how a actual code example matches with a fix); a construct (the abstract description of a programming mechanism, for example a ``while'' loop, independently of its realization in a programming language; and a language (a description of how a particular programming language includes certain constructs and provides specific concrete syntax for each of them -- for example Java includes loop, assignment etc. and has a defined format for each of them). A JSON API provides it in a form accessible to tools. Bugfix includes a repository containing a considerable amount of bugs, examples and fixes. Note: An early step towards this article was a short contribution (Ref [1]) to the 2024 ICSE. The present text reuses a few elements of introduction and motivation but is otherwise thoroughly reworked and extended.

Publication Details

Journal
ArXiv.org
Published
2025-02-21
Primary Topic
Software Testing and Debugging Techniques
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article
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article

Bugfix: a standard language, database schema and repository for research on bugs and automatic program repair

ArXiv.org
Software Testing and Debugging Techniques
article

Bugfix: a standard language, database schema and repository for research on bugs and automatic program repair

article en

Abstract

Automatic Program Repair (APR) is a brilliant idea: when detecting a bug, also provide suggestions for correcting the program. Progress towards that goal is hindered by the absence of a common frame of reference for the multiplicity of APR ideas, methods, tools, programming languages and environments. Bugfix is an effort at providing such a framework: a standardized set of notations, tools and interfaces, as well as a database of bugs and fixes, for use by the APR research community to try out ideas and compare results. The most directly visible component of the Bugfix effort is the Bugfix language, a human-readable formalism making it possible to describe elements of the following kinds: a bug (described abstractly, for example the permutation of two arguments in a call); a bug example (an actual occurrence of a bug, in a specific code written in a specific programming language, and usually recorded in some repository); a fix (a particular correction of a bug, obtained for example by reversing the misplaced arguments); an application (an entity that demonstrates how a actual code example matches with a fix); a construct (the abstract description of a programming mechanism, for example a ``while'' loop, independently of its realization in a programming language; and a language (a description of how a particular programming language includes certain constructs and provides specific concrete syntax for each of them -- for example Java includes loop, assignment etc. and has a defined format for each of them). A JSON API provides it in a form accessible to tools. Bugfix includes a repository containing a considerable amount of bugs, examples and fixes. Note: An early step towards this article was a short contribution (Ref [1]) to the 2024 ICSE. The present text reuses a few elements of introduction and motivation but is otherwise thoroughly reworked and extended.

ArXiv.org
Openalex Percentile: Top 47%
Software Testing and Debugging Techniques
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