loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

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

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

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.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.145.201.71

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

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 (ICSOFT 2013) - ICSOFT-EA; ISBN 978-989-8565-68-6; ISSN 2184-2833, SciTePress, 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 (ICSOFT 2013) - ICSOFT-EA},
year={2013},
pages={198-205},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004492901980205},
isbn={978-989-8565-68-6},
issn={2184-2833},
}

TY - CONF

JO - Proceedings of the 8th International Joint Conference on Software Technologies (ICSOFT 2013) - ICSOFT-EA
TI - CQE - An Approach to Automatically Estimate the Code Quality using an Objective Metric From an Empirical Study
SN - 978-989-8565-68-6
IS - 2184-2833
AU - Arif, S.
AU - Wang, M.
AU - Perry, P.
AU - Murphy, J.
PY - 2013
SP - 198
EP - 205
DO - 10.5220/0004492901980205
PB - SciTePress

- Science and Technology Publications, Lda.
RESOURCES

Proceedings

Papers

Authors

Ontology

CONTACTS

Science and Technology Publications, Lda
Avenida de S. Francisco Xavier, Lote 7 Cv. C,
2900-616 Setúbal, Portugal.

Phone: +351 265 520 185 (National fixed network call)
Fax: +351 265 520 186
Email: info@scitepress.org

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

dblp

Ei Compendex

SCOPUS

Semantic Scholar

Google Scholar

Microsoft Academic