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Empirical Software Engineering

Erschienen in:

01.06.2007

Empirical analysis on the correlation between GCC compiler warnings and revision numbers of source files in five industrial software projects

verfasst von: Raimund Moser, Barbara Russo, Giancarlo Succi

Erschienen in: Empirical Software Engineering | Ausgabe 3/2007

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Abstract

This article discusses whether using warnings generated by the GNU C++ compiler can be used effectively to identify source code files that are likely to be error prone. We analyze five industrial projects written in C++ and belonging to the telecommunication domain. We find a significant positive correlation between the number of compiler warnings and the number of source files changes. We use such correlation to conclude that compiler warnings may be used as an indicator for the presence of software defects in source code. The result of this research is useful for finding defect-prone modules in newer projects, which lack change history.

Vorheriger Artikel Quality of manual data collection in Java software: an empirical investigation

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Titel: Empirical analysis on the correlation between GCC compiler warnings and revision numbers of source files in five industrial software projects
verfasst von: Raimund Moser
Barbara Russo
Giancarlo Succi
Publikationsdatum: 01.06.2007
Verlag: Kluwer Academic Publishers-Plenum Publishers
Erschienen in: Empirical Software Engineering / Ausgabe 3/2007
Print ISSN: 1382-3256
Elektronische ISSN: 1573-7616
DOI: https://doi.org/10.1007/s10664-006-9029-x

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