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Software process data quality and characteristics - a historical view on open and closed source projects


Bachmann, A; Bernstein, A (2009). Software process data quality and characteristics - a historical view on open and closed source projects. In: IWPSE-Evol'09: Proceedings of the joint international and annual ERCIM workshops on Principles of software evolution (IWPSE) and software evolution (Evol) workshops, Amsterdam, The Netherlands, August 2009 - August 2009, 119-128.

Abstract

Software process data gathered from bug tracking databases and version control system log files are a very valuable source to analyze the evolution and history of a project or predict its future. These data are used for instance to predict defects, gather insight into a project's life-cycle, and additional tasks. In this paper we survey five open source projects and one closed source project in order to provide a deeper insight into the quality and characteristics of these often-used process data. Specifically, we first define quality and characteristics measures, which allow us to compare the quality and characteristics of the data gathered for different projects. We then compute the measures and discuss the issues arising from these observation. We show that there are vast differences between the projects, particularly with respect to the quality in the link rate between bugs and commits.

Abstract

Software process data gathered from bug tracking databases and version control system log files are a very valuable source to analyze the evolution and history of a project or predict its future. These data are used for instance to predict defects, gather insight into a project's life-cycle, and additional tasks. In this paper we survey five open source projects and one closed source project in order to provide a deeper insight into the quality and characteristics of these often-used process data. Specifically, we first define quality and characteristics measures, which allow us to compare the quality and characteristics of the data gathered for different projects. We then compute the measures and discuss the issues arising from these observation. We show that there are vast differences between the projects, particularly with respect to the quality in the link rate between bugs and commits.

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14 citations in Web of Science®
35 citations in Scopus®
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Additional indexing

Item Type:Conference or Workshop Item (Paper), refereed, original work
Communities & Collections:03 Faculty of Economics > Department of Informatics
Dewey Decimal Classification:000 Computer science, knowledge & systems
Language:English
Event End Date:August 2009
Deposited On:04 Feb 2010 11:29
Last Modified:06 Dec 2017 22:34

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