Design-sensitive metric thresholds based on design roles
Autor(a) principal: | |
---|---|
Data de Publicação: | 2021 |
Outros Autores: | |
Tipo de documento: | Tese |
Idioma: | por eng |
Título da fonte: | Repositório Institucional da UFBA |
Texto Completo: | https://repositorio.ufba.br/handle/ri/34683 |
Resumo: | State-of-the-art techniques and Automated Static Analysis Tools (ASATs) for identifying code smells rely on metric-based assessment. However, most of these techniques have low accuracy. One possible reason is that source code elements, such as methods implemented according to different design decisions, are assessed through the same generic threshold for each metric. Other possible reason is that these metric thresholds are usually derived from classes driven by different design decisions. Using generic metric thresholds that do not consider the design context of each evaluated class can generate many false positives and false negatives for software developers. Our goal is to propose design-sensitive techniques to derive contextual metric thresholds. Our primary hypothesis is that using the design role played by each system class to define this context may point out more relevant code smells to software developers. We conducted some empirical studies to define the proposed techniques. Firstly, we performed a large-scale survey that showed that practitioners recognize difficulties in fitting ASATs into the software development process. They also claim that there is no routine for application. One possible reason practitioners recognize that most of these tools use a single metric threshold, which might not be adequate to evaluate all system classes. Secondly, we conducted an empirical study to investigate whether fine-grained design decisions also influence the distribution of software metrics and, therefore, should be considered to derive metric thresholds. Our findings show that the distribution of metrics is sensitive to the following design decisions: (i) design role of the class (ii) used libraries, (iii) coding style, (iv) exception handling, and (v) logging and debugging code mechanisms. We used these findings to propose two new techniques to derive design-sensitive metric thresholds using the class design role as context. Then, we carried out two large-scale empirical studies to evaluate them. The first study showed that our proposed techniques improved precision according to developers' perceptions. Since it is impossible and tiring to perform a complete source code quality assessment with developers, we conducted a second study mining the evolution of software projects from popular architectural domains. We found that our techniques improved recall to point out methods effectively refactored during software evolution. |
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Dósea, Marcos BarbosaSant`Anna, Cláudio NogueiraDósea, Marcos BarbosaSant'Anna, Cláudio Nogueira0000-0002-6005-5463http://lattes.cnpq.br/3228159608138969Mendonça Neto, Manoel Gomes de0000-0002-0874-7665http://lattes.cnpq.br/1608062196337851Chavez , Christina von Flach Garcia0000-0001-5172-9641http://lattes.cnpq.br/1827829018668226Maia, Marcelo de Almeida0000-0003-3578-1380http://lattes.cnpq.br/4915659948263445Aniche, Maurício Finavaro0000-0002-8893-2835http://lattes.cnpq.br/55102382660485980000-0002-3981-6301http://lattes.cnpq.br/35398063024431052022-01-19T17:37:52Z2022-01-192022-01-19T17:37:52Z2021-08-16DÓSEA, Marcos Barbosa. Design-sensitive metric thresholds based on design roles. 2021. 155 f. Tese (Doutorado) - Curso de Ciência da Computação, Instituto de Computação, Universidade Federal da Bahia, Salvador, Bahia, 2021.https://repositorio.ufba.br/handle/ri/34683State-of-the-art techniques and Automated Static Analysis Tools (ASATs) for identifying code smells rely on metric-based assessment. However, most of these techniques have low accuracy. One possible reason is that source code elements, such as methods implemented according to different design decisions, are assessed through the same generic threshold for each metric. Other possible reason is that these metric thresholds are usually derived from classes driven by different design decisions. Using generic metric thresholds that do not consider the design context of each evaluated class can generate many false positives and false negatives for software developers. Our goal is to propose design-sensitive techniques to derive contextual metric thresholds. Our primary hypothesis is that using the design role played by each system class to define this context may point out more relevant code smells to software developers. We conducted some empirical studies to define the proposed techniques. Firstly, we performed a large-scale survey that showed that practitioners recognize difficulties in fitting ASATs into the software development process. They also claim that there is no routine for application. One possible reason practitioners recognize that most of these tools use a single metric threshold, which might not be adequate to evaluate all system classes. Secondly, we conducted an empirical study to investigate whether fine-grained design decisions also influence the distribution of software metrics and, therefore, should be considered to derive metric thresholds. Our findings show that the distribution of metrics is sensitive to the following design decisions: (i) design role of the class (ii) used libraries, (iii) coding style, (iv) exception handling, and (v) logging and debugging code mechanisms. We used these findings to propose two new techniques to derive design-sensitive metric thresholds using the class design role as context. Then, we carried out two large-scale empirical studies to evaluate them. The first study showed that our proposed techniques improved precision according to developers' perceptions. Since it is impossible and tiring to perform a complete source code quality assessment with developers, we conducted a second study mining the evolution of software projects from popular architectural domains. We found that our techniques improved recall to point out methods effectively refactored during software evolution.Técnicas de última geração e ferramentas automáticas de análise estática (ASATs) para identificar cheiros de código dependem de avaliação baseada em métricas. No entanto, a maioria dessas técnicas tem baixa precisão. Uma possível razão é que os elementos do código-fonte, como métodos implementados de acordo com diferentes decisões de design, são avaliados pelo mesmo limite genérico para cada métrica. Outra razão possível é que esses limites de métrica geralmente são derivados de classes orientadas por diferentes decisões de projeto. O uso de limites de métricas genéricas que não consideram o contexto de design de cada classe avaliada pode gerar muitos falsos positivos e falsos negativos para desenvolvedores de software. Nosso objetivo é propor técnicas sensíveis ao design para derivar limites de métricas contextuais. Nossa hipótese principal é que usar o papel de design desempenhado por cada classe de sistema para definir esse contexto pode apontar cheiros de código mais relevantes para desenvolvedores de software. Realizamos alguns estudos empíricos para definir as técnicas propostas. Primeiramente, realizamos uma pesquisa em larga escala que mostrou que os profissionais reconhecem dificuldades em encaixar ASATs no processo de desenvolvimento de software. Afirmam também que não há rotina para aplicação. Uma possível razão pela qual os profissionais reconhecem que a maioria dessas ferramentas usa um único limite de métrica, que pode não ser adequado para avaliar todas as classes do sistema. Em segundo lugar, realizamos um estudo empírico para investigar se as decisões de projeto refinadas também influenciam a distribuição de métricas de software e, portanto, devem ser consideradas para derivar limites de métricas. Nossas descobertas mostram que a distribuição de métricas é sensível às seguintes decisões de design: (i) função de design da classe (ii) bibliotecas usadas, (iii) estilo de codificação, (iv) tratamento de exceção e (v) código de registro e depuração mecanismos. Usamos essas descobertas para propor duas novas técnicas para derivar limites de métricas sensíveis ao design usando a função de design de classe como contexto. Em seguida, realizamos dois estudos empíricos de grande escala para avaliá-los. O primeiro estudo mostrou que nossas técnicas propostas melhoraram a precisão de acordo com as percepções dos desenvolvedores. Como é impossível e cansativo realizar uma avaliação completa da qualidade do código-fonte com os desenvolvedores, realizamos um segundo estudo minerando a evolução de projetos de software de domínios arquiteturais populares. Descobrimos que nossas técnicas melhoraram o recall para apontar métodos efetivamente refatorados durante a evolução do software.Submitted by Marcos Dósea (marcosdosea@gmail.com) on 2021-12-22T19:09:45Z No. of bitstreams: 1 PGCOMP-2021-Tese_Doutorado-Marcos_Barbosa_Dosea.pdf: 2428109 bytes, checksum: 5f7fa799c4c413323ed9b7a38c412284 (MD5)Approved for entry into archive by Solange Rocha (soluny@gmail.com) on 2022-01-19T17:37:52Z (GMT) No. of bitstreams: 1 PGCOMP-2021-Tese_Doutorado-Marcos_Barbosa_Dosea.pdf: 2428109 bytes, checksum: 5f7fa799c4c413323ed9b7a38c412284 (MD5)Made available in DSpace on 2022-01-19T17:37:52Z (GMT). No. of bitstreams: 1 PGCOMP-2021-Tese_Doutorado-Marcos_Barbosa_Dosea.pdf: 2428109 bytes, checksum: 5f7fa799c4c413323ed9b7a38c412284 (MD5) Previous issue date: 2021-08-16porengUniversidade Federal da BahiaPrograma de Pós-Graduação em Ciência da Computação (PGCOMP) UFBABrasilInstituto de MatemáticaCNPQ::CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO::METODOLOGIA E TECNICAS DA COMPUTACAO::ENGENHARIA DE SOFTWARESoftware designMetric thresholdsDesign decisionsDesign roleClass design roleCode analysisStatic analysis toolsSoftware qualityEmpirical studiesDesign de softwareLimites de métricaDecisões de designFunção de designFunção de design de classeAnálise de códigoFerramentas de análise estáticaQualidade do softwareEstudos empíricosDesign-sensitive metric thresholds based on design rolesLimites de métricas sensíveis ao design com base nas funções de designinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/doctoralThesisinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFBAinstname:Universidade Federal da Bahia (UFBA)instacron:UFBAORIGINALPGCOMP-2021-Tese_Doutorado-Marcos_Barbosa_Dosea.pdfPGCOMP-2021-Tese_Doutorado-Marcos_Barbosa_Dosea.pdfapplication/pdf2428109https://repositorio.ufba.br/bitstream/ri/34683/1/PGCOMP-2021-Tese_Doutorado-Marcos_Barbosa_Dosea.pdf5f7fa799c4c413323ed9b7a38c412284MD51LICENSElicense.txtlicense.txttext/plain1582https://repositorio.ufba.br/bitstream/ri/34683/2/license.txt907e2b7d511fb2c3e42dbdd41a6197c6MD52TEXTPGCOMP-2021-Tese_Doutorado-Marcos_Barbosa_Dosea.pdf.txtPGCOMP-2021-Tese_Doutorado-Marcos_Barbosa_Dosea.pdf.txtExtracted texttext/plain439360https://repositorio.ufba.br/bitstream/ri/34683/3/PGCOMP-2021-Tese_Doutorado-Marcos_Barbosa_Dosea.pdf.txt2ec7fd05c599386fd4c9f7da5e67b611MD53ri/346832022-01-22 06:29:17.676oai:repositorio.ufba.br:ri/34683VGVybW8gZGUgTGljZW7Dp2EsIG7Do28gZXhjbHVzaXZvLCBwYXJhIG8gZGVww7NzaXRvIG5vIFJlcG9zaXTDs3JpbyBJbnN0aXR1Y2lvbmFsIGRhIFVGQkEuCgogUGVsbyBwcm9jZXNzbyBkZSBzdWJtaXNzw4PCg8OCwqNvIGRlIGRvY3VtZW50b3MsIG8gYXV0b3Igb3Ugc2V1IHJlcHJlc2VudGFudGUgbGVnYWwsIGFvIGFjZWl0YXIgZXNzZSB0ZXJtbyBkZSBsaWNlbsODwoPDgsKnYSwgY29uY2VkZSBhbyBSZXBvc2l0w4PCg8OCwrNyaW8gSW5zdGl0dWNpb25hbCBkYSBVbml2ZXJzaWRhZGUgRmVkZXJhbCBkYSBCYWhpYSBvIGRpcmVpdG8gZGUgbWFudGVyIHVtYSBjw4PCg8OCwrNwaWEgZW0gc2V1IHJlcG9zaXTDg8KDw4LCs3JpbyBjb20gYSBmaW5hbGlkYWRlLCBwcmltZWlyYSwgZGUgcHJlc2VydmHDg8KDw4LCp8ODwoPDgsKjby4gCgpFc3NlcyB0ZXJtb3MsIG7Dg8KDw4LCo28gZXhjbHVzaXZvcywgbWFudMODwoPDgsKpbSBvcyBkaXJlaXRvcyBkZSBhdXRvci9jb3B5cmlnaHQsIG1hcyBlbnRlbmRlIG8gZG9jdW1lbnRvIGNvbW8gcGFydGUgZG8gYWNlcnZvIGludGVsZWN0dWFsIGRlc3NhIFVuaXZlcnNpZGFkZS4KCiBQYXJhIG9zIGRvY3VtZW50b3MgcHVibGljYWRvcyBjb20gcmVwYXNzZSBkZSBkaXJlaXRvcyBkZSBkaXN0cmlidWnDg8KDw4LCp8ODwoPDgsKjbywgZXNzZSB0ZXJtbyBkZSBsaWNlbsODwoPDgsKnYSBlbnRlbmRlIHF1ZToKCiBNYW50ZW5kbyBvcyBkaXJlaXRvcyBhdXRvcmFpcywgcmVwYXNzYWRvcyBhIHRlcmNlaXJvcywgZW0gY2FzbyBkZSBwdWJsaWNhw4PCg8OCwqfDg8KDw4LCtWVzLCBvIHJlcG9zaXTDg8KDw4LCs3JpbyBwb2RlIHJlc3RyaW5naXIgbyBhY2Vzc28gYW8gdGV4dG8gaW50ZWdyYWwsIG1hcyBsaWJlcmEgYXMgaW5mb3JtYcODwoPDgsKnw4PCg8OCwrVlcyBzb2JyZSBvIGRvY3VtZW50byAoTWV0YWRhZG9zIGRlc2NyaXRpdm9zKS4KCiBEZXN0YSBmb3JtYSwgYXRlbmRlbmRvIGFvcyBhbnNlaW9zIGRlc3NhIHVuaXZlcnNpZGFkZSBlbSBtYW50ZXIgc3VhIHByb2R1w4PCg8OCwqfDg8KDw4LCo28gY2llbnTDg8KDw4LCrWZpY2EgY29tIGFzIHJlc3RyacODwoPDgsKnw4PCg8OCwrVlcyBpbXBvc3RhcyBwZWxvcyBlZGl0b3JlcyBkZSBwZXJpw4PCg8OCwrNkaWNvcy4KCiBQYXJhIGFzIHB1YmxpY2HDg8KDw4LCp8ODwoPDgsK1ZXMgc2VtIGluaWNpYXRpdmFzIHF1ZSBzZWd1ZW0gYSBwb2zDg8KDw4LCrXRpY2EgZGUgQWNlc3NvIEFiZXJ0bywgb3MgZGVww4PCg8OCwrNzaXRvcyBjb21wdWxzw4PCg8OCwrNyaW9zIG5lc3NlIHJlcG9zaXTDg8KDw4LCs3JpbyBtYW50w4PCg8OCwqltIG9zIGRpcmVpdG9zIGF1dG9yYWlzLCBtYXMgbWFudMODwoPDgsKpbSBhY2Vzc28gaXJyZXN0cml0byBhb3MgbWV0YWRhZG9zIGUgdGV4dG8gY29tcGxldG8uIEFzc2ltLCBhIGFjZWl0YcODwoPDgsKnw4PCg8OCwqNvIGRlc3NlIHRlcm1vIG7Dg8KDw4LCo28gbmVjZXNzaXRhIGRlIGNvbnNlbnRpbWVudG8gcG9yIHBhcnRlIGRlIGF1dG9yZXMvZGV0ZW50b3JlcyBkb3MgZGlyZWl0b3MsIHBvciBlc3RhcmVtIGVtIGluaWNpYXRpdmFzIGRlIGFjZXNzbyBhYmVydG8uCg==Repositório InstitucionalPUBhttp://192.188.11.11:8080/oai/requestopendoar:19322022-01-22T09:29:17Repositório Institucional da UFBA - Universidade Federal da Bahia (UFBA)false |
dc.title.pt_BR.fl_str_mv |
Design-sensitive metric thresholds based on design roles |
dc.title.alternative.pt_BR.fl_str_mv |
Limites de métricas sensíveis ao design com base nas funções de design |
title |
Design-sensitive metric thresholds based on design roles |
spellingShingle |
Design-sensitive metric thresholds based on design roles Dósea, Marcos Barbosa CNPQ::CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO::METODOLOGIA E TECNICAS DA COMPUTACAO::ENGENHARIA DE SOFTWARE Software design Metric thresholds Design decisions Design role Class design role Code analysis Static analysis tools Software quality Empirical studies Design de software Limites de métrica Decisões de design Função de design Função de design de classe Análise de código Ferramentas de análise estática Qualidade do software Estudos empíricos |
title_short |
Design-sensitive metric thresholds based on design roles |
title_full |
Design-sensitive metric thresholds based on design roles |
title_fullStr |
Design-sensitive metric thresholds based on design roles |
title_full_unstemmed |
Design-sensitive metric thresholds based on design roles |
title_sort |
Design-sensitive metric thresholds based on design roles |
author |
Dósea, Marcos Barbosa |
author_facet |
Dósea, Marcos Barbosa Sant`Anna, Cláudio Nogueira |
author_role |
author |
author2 |
Sant`Anna, Cláudio Nogueira |
author2_role |
author |
dc.contributor.author.fl_str_mv |
Dósea, Marcos Barbosa Sant`Anna, Cláudio Nogueira Dósea, Marcos Barbosa |
dc.contributor.advisor1.fl_str_mv |
Sant'Anna, Cláudio Nogueira |
dc.contributor.advisor1ID.fl_str_mv |
0000-0002-6005-5463 |
dc.contributor.advisor1Lattes.fl_str_mv |
http://lattes.cnpq.br/3228159608138969 |
dc.contributor.referee1.fl_str_mv |
Mendonça Neto, Manoel Gomes de |
dc.contributor.referee1ID.fl_str_mv |
0000-0002-0874-7665 |
dc.contributor.referee1Lattes.fl_str_mv |
http://lattes.cnpq.br/1608062196337851 |
dc.contributor.referee2.fl_str_mv |
Chavez , Christina von Flach Garcia |
dc.contributor.referee2ID.fl_str_mv |
0000-0001-5172-9641 |
dc.contributor.referee2Lattes.fl_str_mv |
http://lattes.cnpq.br/1827829018668226 |
dc.contributor.referee3.fl_str_mv |
Maia, Marcelo de Almeida |
dc.contributor.referee3ID.fl_str_mv |
0000-0003-3578-1380 |
dc.contributor.referee3Lattes.fl_str_mv |
http://lattes.cnpq.br/4915659948263445 |
dc.contributor.referee4.fl_str_mv |
Aniche, Maurício Finavaro |
dc.contributor.referee4ID.fl_str_mv |
0000-0002-8893-2835 |
dc.contributor.referee4Lattes.fl_str_mv |
http://lattes.cnpq.br/5510238266048598 |
dc.contributor.authorID.fl_str_mv |
0000-0002-3981-6301 |
dc.contributor.authorLattes.fl_str_mv |
http://lattes.cnpq.br/3539806302443105 |
contributor_str_mv |
Sant'Anna, Cláudio Nogueira Mendonça Neto, Manoel Gomes de Chavez , Christina von Flach Garcia Maia, Marcelo de Almeida Aniche, Maurício Finavaro |
dc.subject.cnpq.fl_str_mv |
CNPQ::CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO::METODOLOGIA E TECNICAS DA COMPUTACAO::ENGENHARIA DE SOFTWARE |
topic |
CNPQ::CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO::METODOLOGIA E TECNICAS DA COMPUTACAO::ENGENHARIA DE SOFTWARE Software design Metric thresholds Design decisions Design role Class design role Code analysis Static analysis tools Software quality Empirical studies Design de software Limites de métrica Decisões de design Função de design Função de design de classe Análise de código Ferramentas de análise estática Qualidade do software Estudos empíricos |
dc.subject.por.fl_str_mv |
Software design Metric thresholds Design decisions Design role Class design role Code analysis Static analysis tools Software quality Empirical studies Design de software Limites de métrica Decisões de design Função de design Função de design de classe Análise de código Ferramentas de análise estática Qualidade do software Estudos empíricos |
description |
State-of-the-art techniques and Automated Static Analysis Tools (ASATs) for identifying code smells rely on metric-based assessment. However, most of these techniques have low accuracy. One possible reason is that source code elements, such as methods implemented according to different design decisions, are assessed through the same generic threshold for each metric. Other possible reason is that these metric thresholds are usually derived from classes driven by different design decisions. Using generic metric thresholds that do not consider the design context of each evaluated class can generate many false positives and false negatives for software developers. Our goal is to propose design-sensitive techniques to derive contextual metric thresholds. Our primary hypothesis is that using the design role played by each system class to define this context may point out more relevant code smells to software developers. We conducted some empirical studies to define the proposed techniques. Firstly, we performed a large-scale survey that showed that practitioners recognize difficulties in fitting ASATs into the software development process. They also claim that there is no routine for application. One possible reason practitioners recognize that most of these tools use a single metric threshold, which might not be adequate to evaluate all system classes. Secondly, we conducted an empirical study to investigate whether fine-grained design decisions also influence the distribution of software metrics and, therefore, should be considered to derive metric thresholds. Our findings show that the distribution of metrics is sensitive to the following design decisions: (i) design role of the class (ii) used libraries, (iii) coding style, (iv) exception handling, and (v) logging and debugging code mechanisms. We used these findings to propose two new techniques to derive design-sensitive metric thresholds using the class design role as context. Then, we carried out two large-scale empirical studies to evaluate them. The first study showed that our proposed techniques improved precision according to developers' perceptions. Since it is impossible and tiring to perform a complete source code quality assessment with developers, we conducted a second study mining the evolution of software projects from popular architectural domains. We found that our techniques improved recall to point out methods effectively refactored during software evolution. |
publishDate |
2021 |
dc.date.issued.fl_str_mv |
2021-08-16 |
dc.date.accessioned.fl_str_mv |
2022-01-19T17:37:52Z |
dc.date.available.fl_str_mv |
2022-01-19 2022-01-19T17:37:52Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/doctoralThesis |
format |
doctoralThesis |
status_str |
publishedVersion |
dc.identifier.citation.fl_str_mv |
DÓSEA, Marcos Barbosa. Design-sensitive metric thresholds based on design roles. 2021. 155 f. Tese (Doutorado) - Curso de Ciência da Computação, Instituto de Computação, Universidade Federal da Bahia, Salvador, Bahia, 2021. |
dc.identifier.uri.fl_str_mv |
https://repositorio.ufba.br/handle/ri/34683 |
identifier_str_mv |
DÓSEA, Marcos Barbosa. Design-sensitive metric thresholds based on design roles. 2021. 155 f. Tese (Doutorado) - Curso de Ciência da Computação, Instituto de Computação, Universidade Federal da Bahia, Salvador, Bahia, 2021. |
url |
https://repositorio.ufba.br/handle/ri/34683 |
dc.language.iso.fl_str_mv |
por eng |
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por eng |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
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openAccess |
dc.publisher.none.fl_str_mv |
Universidade Federal da Bahia |
dc.publisher.program.fl_str_mv |
Programa de Pós-Graduação em Ciência da Computação (PGCOMP) |
dc.publisher.initials.fl_str_mv |
UFBA |
dc.publisher.country.fl_str_mv |
Brasil |
dc.publisher.department.fl_str_mv |
Instituto de Matemática |
publisher.none.fl_str_mv |
Universidade Federal da Bahia |
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