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A semi-automatic approach to code smells detection

Bibliographic Details
Main Author: Pessoa, Tiago Alexandre Simões
Publication Date: 2011
Format: Master thesis
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: http://hdl.handle.net/10362/13312
Summary: Eradication of code smells is often pointed out as a way to improve readability, extensibility and design in existing software. However, code smell detection remains time consuming and error-prone, partly due to the inherent subjectivity of the detection processes presently available. In view of mitigating the subjectivity problem, this dissertation presents a tool that automates a technique for the detection and assessment of code smells in Java source code, developed as an Eclipse plugin. The technique is based upon a Binary Logistic Regression model that uses complexity metrics as independent variables and is calibrated by expert‟s knowledge. An overview of the technique is provided, the tool is described and validated by an example case study.
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spelling A semi-automatic approach to code smells detectionAutomated software engineeringRefactoringCode smellsEmpirical evaluationMetricsEradication of code smells is often pointed out as a way to improve readability, extensibility and design in existing software. However, code smell detection remains time consuming and error-prone, partly due to the inherent subjectivity of the detection processes presently available. In view of mitigating the subjectivity problem, this dissertation presents a tool that automates a technique for the detection and assessment of code smells in Java source code, developed as an Eclipse plugin. The technique is based upon a Binary Logistic Regression model that uses complexity metrics as independent variables and is calibrated by expert‟s knowledge. An overview of the technique is provided, the tool is described and validated by an example case study.Abreu, FernandoMonteiro, Miguel P.RUNPessoa, Tiago Alexandre Simões2014-10-20T15:37:35Z2011-092014-102011-09-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/13312enginfo:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2024-05-22T17:17:01Zoai:run.unl.pt:10362/13312Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T16:48:01.770589Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv A semi-automatic approach to code smells detection
title A semi-automatic approach to code smells detection
spellingShingle A semi-automatic approach to code smells detection
Pessoa, Tiago Alexandre Simões
Automated software engineering
Refactoring
Code smells
Empirical evaluation
Metrics
title_short A semi-automatic approach to code smells detection
title_full A semi-automatic approach to code smells detection
title_fullStr A semi-automatic approach to code smells detection
title_full_unstemmed A semi-automatic approach to code smells detection
title_sort A semi-automatic approach to code smells detection
author Pessoa, Tiago Alexandre Simões
author_facet Pessoa, Tiago Alexandre Simões
author_role author
dc.contributor.none.fl_str_mv Abreu, Fernando
Monteiro, Miguel P.
RUN
dc.contributor.author.fl_str_mv Pessoa, Tiago Alexandre Simões
dc.subject.por.fl_str_mv Automated software engineering
Refactoring
Code smells
Empirical evaluation
Metrics
topic Automated software engineering
Refactoring
Code smells
Empirical evaluation
Metrics
description Eradication of code smells is often pointed out as a way to improve readability, extensibility and design in existing software. However, code smell detection remains time consuming and error-prone, partly due to the inherent subjectivity of the detection processes presently available. In view of mitigating the subjectivity problem, this dissertation presents a tool that automates a technique for the detection and assessment of code smells in Java source code, developed as an Eclipse plugin. The technique is based upon a Binary Logistic Regression model that uses complexity metrics as independent variables and is calibrated by expert‟s knowledge. An overview of the technique is provided, the tool is described and validated by an example case study.
publishDate 2011
dc.date.none.fl_str_mv 2011-09
2011-09-01T00:00:00Z
2014-10-20T15:37:35Z
2014-10
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/13312
url http://hdl.handle.net/10362/13312
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron:RCAAP
instname_str FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron_str RCAAP
institution RCAAP
reponame_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
collection Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository.name.fl_str_mv Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
repository.mail.fl_str_mv info@rcaap.pt
_version_ 1833596199190396928

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