BugMaps-Granger: a tool for visualizing and predicting bugs using Granger causality tests

Couto, Cesar; Valente, Marco; Pires, Pedro; Hora, Andre; Anquetil, Nicolas; Bigonha, Roberto

Document type :

Article dans une revue scientifique

DOI :

10.1186/2195-1721-2-1

Title :

BugMaps-Granger: a tool for visualizing and predicting bugs using Granger causality tests

Author(s) :

Couto, Cesar [Auteur correspondant]
Valente, Marco [Auteur]
Pires, Pedro [Auteur]
Hora, Andre [Auteur]
Analyses and Languages Constructs for Object-Oriented Application Evolution [RMOD]
Anquetil, Nicolas [Auteur]

Bigonha, Roberto [Auteur]

Journal title :

Journal of Software Engineering Research and Development

Pages :

Publisher :

Brazilian Computer Society

Publication date :

2014

English keyword(s) :

Bug analysis tools
Software metrics
Causality tests

HAL domain(s) :

Informatique [cs]

English abstract : [en]

Background Despite the increasing number of bug analysis tools for exploring bugs in software systems, there are no tools supporting the investigation of causality relationships between internal quality metrics and ...
Show more >Background Despite the increasing number of bug analysis tools for exploring bugs in software systems, there are no tools supporting the investigation of causality relationships between internal quality metrics and bugs. In this paper, we propose an extension of the BugMaps tool called BugMaps-Granger that allows the analysis of source code properties that are more likely to cause bugs. For this purpose, we relied on the Granger Causality Test to evaluate whether past changes to a given time series of source code metrics can be used to forecast changes in a time series of defects. Our tool extracts source code versions from version control platforms, calculates source code metrics and defects time series, computes Granger Test results, and provides interactive visualizations for causal analysis of bugs. Results We provide an example of use of BugMaps-Granger involving data from the Equinox Framework and Eclipse JDT Core systems collected during three years. For these systems, the tool was able to identify the modules with more bugs, the average lifetime and complexity of the bugs, and the source code properties that are more likely to cause bugs. Conclusions With the results provided by the tool in hand, a maintainer can perform at least two main software quality assurance activities: (a) refactoring the source code properties that Granger-caused bugs and (b) improving unit tests coverage in classes with more bugs.Show less >

Language :

Anglais

Peer reviewed article :

Oui

Audience :

Internationale

Popular science :

Non

Collections :

Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189

Source :

Harvested from HAL

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