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Conducting quantitative software engineering studies with Alitheia Core

delete2013-02-10
delete18
PRE
AI
G
Georgios Gousios *
D
Diomidis Spinellis
DOI:10.1007/s10664-013-9242-3delete
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Abstract

Abstract

En 中文
Quantitative empirical software engineering research benefits mightily from processing large open source software repository data sets. The diversity of repository management tools and the long history of some projects, renders the task of working with those datasets a tedious and error-prone exercise. The Alitheia Core analysis platform preprocesses repository data into an intermediate format that allows researchers to provide custom analysis tools. Alitheia Core automatically distributes the processing load on multiple processors while enabling programmatic access to the raw data, the metadata, and the analysis results. The tool has been successfully applied on hundreds of medium to large-sized open-source projects, enabling large-scale empirical studies.
Keywords:
Quantitative software engineering
Software repository mining

Journal

Empirical Software Engineering cover
Empirical Software Engineering
IF:
3.6
Papers:
2.0K
Citations:
5.3K

Organization

D
Delft University of Technology
Scholars:
2.6W
Papers: 2.5W
Citations: 3.8W