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Authors: Saima Arif ; Miao Wang ; Philip Perry and John Murphy

Affiliation: School of Computer Science and Informatics and University College Dublin, Ireland

ISBN: 978-989-8565-68-6

Keyword(s): Static Analysis, Code Quality, Process Metrics.

Related Ontology Subjects/Areas/Topics: Quality Assurance ; Service-Oriented Software Engineering and Management ; Software Engineering ; Software Engineering Methods and Techniques ; Software Metrics ; Software Project Management ; Software Quality Management ; Software Testing and Maintenance

Abstract: Bugs in a project, at any stage of Software life cycle development are costly and difficult to find and fix. Moreover, the later a bug is found, the more expensive it is to fix. There are static analysis tools to ease the process of finding bugs, but their results are not easy to filter out critical errors and is time consuming to analyze. To solve this problem we used two steps: first to enhance the bugs severity and second is to estimate the code quality, by Weighted Error Code Density metric. Our experiment on 10 widely used open-source Java applications automatically shows their code quality estimated using our objective metric. We also enhance the error ranking of FindBugs, and provide a clear view on the critical errors to fix as well as low priority ones to potentially ignore.

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Paper citation in several formats:
Arif, S.; Wang, M.; Perry, P. and Murphy, J. (2013). CQE - An Approach to Automatically Estimate the Code Quality using an Objective Metric From an Empirical Study.In Proceedings of the 8th International Joint Conference on Software Technologies - Volume 1: ICSOFT-EA, (ICSOFT 2013) ISBN 978-989-8565-68-6, pages 198-205. DOI: 10.5220/0004492901980205

@conference{icsoft-ea13,
author={Saima Arif. and Miao Wang. and Philip Perry. and John Murphy.},
title={CQE - An Approach to Automatically Estimate the Code Quality using an Objective Metric From an Empirical Study},
booktitle={Proceedings of the 8th International Joint Conference on Software Technologies - Volume 1: ICSOFT-EA, (ICSOFT 2013)},
year={2013},
pages={198-205},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004492901980205},
isbn={978-989-8565-68-6},
}

TY - CONF

JO - Proceedings of the 8th International Joint Conference on Software Technologies - Volume 1: ICSOFT-EA, (ICSOFT 2013)
TI - CQE - An Approach to Automatically Estimate the Code Quality using an Objective Metric From an Empirical Study
SN - 978-989-8565-68-6
AU - Arif, S.
AU - Wang, M.
AU - Perry, P.
AU - Murphy, J.
PY - 2013
SP - 198
EP - 205
DO - 10.5220/0004492901980205

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