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Authors: Nicholas Drouin and Mourad Badri

Affiliation: University of Quebec, Canada

Keyword(s): Software Evolution, Laws of Software Evolution, Software Quality, Software Attributes, Defects,Software Metrics, Quality Assurance.

Abstract: This paper aims at investigating empirically the applicability of Lehman’s laws of software evolution using software metrics. We used a synthetic metric (Quality Assurance Indicator - Qi), which captures in an integrated way different object-oriented software attributes. We wanted to investigate if the Qi metric can be used to support the applicability of Lehman’s laws of software evolution. We focused on the laws related with continuing change, increasing complexity, continuing growth and declining quality. We performed an empirical analysis using historical data on two open source (Java) software systems. The collected data cover a period of more than four years (fifty-two versions) for the first system and more than seven years (thirty-one versions) for the second one. Empirical results provide evidence that the considered Lehman’s laws are supported by the collected data and the Qi metric.

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Paper citation in several formats:
Drouin, N. and Badri, M. (2013). Investigating the Applicability of Lehman’s Laws of Software Evolution using Metrics: An Empirical Study on Open Source Software. In Proceedings of the 1st International Workshop in Software Evolution and Modernization (ENASE 2013) - SEM; ISBN 978-989-8565-66-2, SciTePress, pages 30-44. DOI: 10.5220/0004598600300044

@conference{sem13,
author={Nicholas Drouin. and Mourad Badri.},
title={Investigating the Applicability of Lehman’s Laws of Software Evolution using Metrics: An Empirical Study on Open Source Software},
booktitle={Proceedings of the 1st International Workshop in Software Evolution and Modernization (ENASE 2013) - SEM},
year={2013},
pages={30-44},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004598600300044},
isbn={978-989-8565-66-2},
}

TY - CONF

JO - Proceedings of the 1st International Workshop in Software Evolution and Modernization (ENASE 2013) - SEM
TI - Investigating the Applicability of Lehman’s Laws of Software Evolution using Metrics: An Empirical Study on Open Source Software
SN - 978-989-8565-66-2
AU - Drouin, N.
AU - Badri, M.
PY - 2013
SP - 30
EP - 44
DO - 10.5220/0004598600300044
PB - SciTePress

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