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Software quality metrics aggregation in industry.

Authors :
Mordal, Karine
Anquetil, Nicolas
Laval, Jannik
Serebrenik, Alexander
Vasilescu, Bogdan
Ducasse, Stéphane
Source :
Journal of Software: Evolution & Process; Oct2013, Vol. 25 Issue 10, p1117-1135, 19p
Publication Year :
2013

Abstract

With the growing need for quality assessment of entire software systems in the industry, new issues are emerging. First, because most software quality metrics are defined at the level of individual software components, there is a need for aggregation methods to summarize the results at the system level. Second, because a software evaluation requires the use of different metrics, with possibly widely varying output ranges, there is a need to combine these results into a unified quality assessment. In this paper we derive, from our experience on real industrial cases and from the scientific literature, requirements for an aggregation method. We then present a solution through the Squale model for metric aggregation, a model specifically designed to address the needs of practitioners. We empirically validate the adequacy of Squale through experiments on ECLIPSE. Additionally, we compare the Squale model to both traditional aggregation techniques (e.g., the arithmetic mean), and to econometric inequality indices (e.g., the Gini or the Theil indices), recently applied to aggregation of software metrics. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20477473
Volume :
25
Issue :
10
Database :
Complementary Index
Journal :
Journal of Software: Evolution & Process
Publication Type :
Academic Journal
Accession number :
92530502
Full Text :
https://doi.org/10.1002/smr.1558