loading
Papers

Research.Publish.Connect.

Paper

Authors: Luis Paulo da Silva Carvalho 1 ; Renato Novais 2 ; Laís do Nascimento Salvador 3 and Manoel Gomes de Mendonça Neto 3

Affiliations: 1 Federal Institute of Bahia and Federal University of Bahia, Brazil ; 2 Federal Institute of Bahia and Fraunhofer Project Center for Software and Systems Engineering at UFBA, Brazil ; 3 Federal University of Bahia and Fraunhofer Project Center for Software and Systems Engineering at UFBA, Brazil

ISBN: 978-989-758-248-6

Keyword(s): Ontology, Reasoner, Code Smells, Ontocean.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Data Engineering ; Enterprise Information Systems ; Information Systems Analysis and Specification ; Knowledge Engineering and Ontology Development ; Knowledge-Based Systems ; Ontologies and the Semantic Web ; Ontology Engineering ; Software Engineering ; Software Metrics and Measurement ; Symbolic Systems ; Tools, Techniques and Methodologies for System Development

Abstract: Code Smells indicate potential flaws in software design that can lead to costly consequences. To mitigate the bad effects of Code Smells, it is necessary to detect and fix defective code. Programmatic processing of Code Smells is not new. Previous works have focused on detection and representation to support the analysis of faulty software. However, such works are based on a syntactic operation, without taking advantage on semantic properties of the software. On the other hand, there are several ways to provide semantic support in software development as a whole. Ontologies, for example, have recently been usedl. The application of ontologies for inferring semantic mechanisms to aid software engineers in dealing with smells may be of great value. As little attention has been given to this, we propose an ontology-based approach to analyze the occurrence of Code Smells in software projects. First, we present a comprehensive ontology that is capable of representing Code Smells and their association with software projects. We also introduce a tool that can manipulate our ontology in order to provide processing of Code Smells as it mines software source-code. Finally, we conducted an initial evaluation of our approach in a real usage scenario with two large open-source software repositories. (More)

PDF ImageFull Text

Download
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 34.204.173.36

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:
Paulo da Silva Carvalho, L.; Novais, R.; do Nascimento Salvador, L. and Gomes de Mendonça Neto, M. (2017). An Ontology-based Approach to Analyzing the Occurrence of Code Smells in Software.In Proceedings of the 19th International Conference on Enterprise Information Systems - Volume 2: ICEIS, ISBN 978-989-758-248-6, pages 155-165. DOI: 10.5220/0006359901550165

@conference{iceis17,
author={Luis Paulo da Silva Carvalho. and Renato Novais. and Laís do Nascimento Salvador. and Manoel Gomes de Mendon\c{C}a Neto.},
title={An Ontology-based Approach to Analyzing the Occurrence of Code Smells in Software},
booktitle={Proceedings of the 19th International Conference on Enterprise Information Systems - Volume 2: ICEIS,},
year={2017},
pages={155-165},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006359901550165},
isbn={978-989-758-248-6},
}

TY - CONF

JO - Proceedings of the 19th International Conference on Enterprise Information Systems - Volume 2: ICEIS,
TI - An Ontology-based Approach to Analyzing the Occurrence of Code Smells in Software
SN - 978-989-758-248-6
AU - Paulo da Silva Carvalho, L.
AU - Novais, R.
AU - do Nascimento Salvador, L.
AU - Gomes de Mendonça Neto, M.
PY - 2017
SP - 155
EP - 165
DO - 10.5220/0006359901550165

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.