Identification of architectural technical debt: An analysis based on naming patterns

Descripción del Articulo

Hasty software development can produce immediate implementations with source code unnecessarily complex and hardly readable. These small kinds of software decay generate a technical debt that could be big enough to seriously affect future maintenance activities. This work presents an analysis techni...

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Detalles Bibliográficos
Autor: Mendoza del Carpio, Paul
Formato: artículo
Fecha de Publicación:2016
Institución:Universidad La Salle
Repositorio:ULASALLE-Institucional
Lenguaje:inglés
OAI Identifier:oai:repositorio.ulasalle.edu.pe:20.500.12953/46
Enlace del recurso:http://repositorio.ulasalle.edu.pe/handle/20.500.12953/46
Nivel de acceso:acceso restringido
Materia:Research Subject Categories::TECHNOLOGY
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dc.title.es_ES.fl_str_mv Identification of architectural technical debt: An analysis based on naming patterns
title Identification of architectural technical debt: An analysis based on naming patterns
spellingShingle Identification of architectural technical debt: An analysis based on naming patterns
Mendoza del Carpio, Paul
Research Subject Categories::TECHNOLOGY
Research Subject Categories::TECHNOLOGY
title_short Identification of architectural technical debt: An analysis based on naming patterns
title_full Identification of architectural technical debt: An analysis based on naming patterns
title_fullStr Identification of architectural technical debt: An analysis based on naming patterns
title_full_unstemmed Identification of architectural technical debt: An analysis based on naming patterns
title_sort Identification of architectural technical debt: An analysis based on naming patterns
author Mendoza del Carpio, Paul
author_facet Mendoza del Carpio, Paul
author_role author
dc.contributor.author.fl_str_mv Mendoza del Carpio, Paul
dc.subject.es_ES.fl_str_mv Research Subject Categories::TECHNOLOGY
topic Research Subject Categories::TECHNOLOGY
Research Subject Categories::TECHNOLOGY
dc.subject.ocde.es_ES.fl_str_mv Research Subject Categories::TECHNOLOGY
description Hasty software development can produce immediate implementations with source code unnecessarily complex and hardly readable. These small kinds of software decay generate a technical debt that could be big enough to seriously affect future maintenance activities. This work presents an analysis technique for identifying architectural technical debt related to non-uniformity of naming patterns; the technique is based on term frequency over package hierarchies. The proposal has been evaluated on projects of two popular organizations, Apache and Eclipse. The results have shown that most of the projects have frequent occurrences of the proposed naming patterns, and using a graph model and aggregated data could enable the elaboration of simple queries for debt identification. The technique has features that favor its applicability on emergent architectures and agile software development.
publishDate 2016
dc.date.accessioned.none.fl_str_mv 2018-11-23T14:19:49Z
dc.date.available.none.fl_str_mv 2018-11-23T14:19:49Z
dc.date.issued.fl_str_mv 2016-04-28
dc.type.es_ES.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.citation.es_ES.fl_str_mv P. M. del Carpio, "Identification of architectural technical debt: An analysis based on naming patterns," 2016 8th Euro American Conference on Telematics and Information Systems (EATIS), Cartagena, 2016, pp. 1-8. doi: 10.1109/EATIS.2016.7520104 keywords: {graph theory;naming services;software maintenance;software prototyping;source code (software);architectural technical debt identification;naming patterns;software development;source code;software decay;maintenance activities;analysis technique;term frequency;package hierarchies;Apache;Eclipse;graph model;aggregated data;emergent architectures;agile software development;Software;Unified modeling language;Data models;Containers;Maintenance engineering;Proposals;Organizations;Architectural technical debt;naming pattern;static analysis}, URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7520104&isnumber=7520092
dc.identifier.uri.none.fl_str_mv http://repositorio.ulasalle.edu.pe/handle/20.500.12953/46
dc.identifier.journal.es_ES.fl_str_mv 2016 8th Euro American Conference on Telematics and Information Systems (EATIS), Cartagena, 2016
dc.identifier.doi.es_ES.fl_str_mv 10.1109/EATIS.2016.7520104
identifier_str_mv P. M. del Carpio, "Identification of architectural technical debt: An analysis based on naming patterns," 2016 8th Euro American Conference on Telematics and Information Systems (EATIS), Cartagena, 2016, pp. 1-8. doi: 10.1109/EATIS.2016.7520104 keywords: {graph theory;naming services;software maintenance;software prototyping;source code (software);architectural technical debt identification;naming patterns;software development;source code;software decay;maintenance activities;analysis technique;term frequency;package hierarchies;Apache;Eclipse;graph model;aggregated data;emergent architectures;agile software development;Software;Unified modeling language;Data models;Containers;Maintenance engineering;Proposals;Organizations;Architectural technical debt;naming pattern;static analysis}, URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7520104&isnumber=7520092
2016 8th Euro American Conference on Telematics and Information Systems (EATIS), Cartagena, 2016
10.1109/EATIS.2016.7520104
url http://repositorio.ulasalle.edu.pe/handle/20.500.12953/46
dc.language.iso.eng_US.fl_str_mv eng
language eng
dc.relation.es_ES.fl_str_mv info:eu-repo/semantics/article
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dc.publisher.es_ES.fl_str_mv 2016 8th Euro American Conference on Telematics and Information Systems (EATIS)
dc.source.es_ES.fl_str_mv Repositorio Institucional - ULASALLE
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instname:Universidad La Salle
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spelling Mendoza del Carpio, Paul2018-11-23T14:19:49Z2018-11-23T14:19:49Z2016-04-28P. M. del Carpio, "Identification of architectural technical debt: An analysis based on naming patterns," 2016 8th Euro American Conference on Telematics and Information Systems (EATIS), Cartagena, 2016, pp. 1-8. doi: 10.1109/EATIS.2016.7520104 keywords: {graph theory;naming services;software maintenance;software prototyping;source code (software);architectural technical debt identification;naming patterns;software development;source code;software decay;maintenance activities;analysis technique;term frequency;package hierarchies;Apache;Eclipse;graph model;aggregated data;emergent architectures;agile software development;Software;Unified modeling language;Data models;Containers;Maintenance engineering;Proposals;Organizations;Architectural technical debt;naming pattern;static analysis}, URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7520104&isnumber=7520092http://repositorio.ulasalle.edu.pe/handle/20.500.12953/462016 8th Euro American Conference on Telematics and Information Systems (EATIS), Cartagena, 201610.1109/EATIS.2016.7520104Hasty software development can produce immediate implementations with source code unnecessarily complex and hardly readable. These small kinds of software decay generate a technical debt that could be big enough to seriously affect future maintenance activities. This work presents an analysis technique for identifying architectural technical debt related to non-uniformity of naming patterns; the technique is based on term frequency over package hierarchies. The proposal has been evaluated on projects of two popular organizations, Apache and Eclipse. The results have shown that most of the projects have frequent occurrences of the proposed naming patterns, and using a graph model and aggregated data could enable the elaboration of simple queries for debt identification. The technique has features that favor its applicability on emergent architectures and agile software development.Doble- Ciegoapplication/mswordeng2016 8th Euro American Conference on Telematics and Information Systems (EATIS)info:eu-repo/semantics/articlehttps://ieeexplore.ieee.org/document/7520104info:eu-repo/semantics/restrictedAccesshttps://creativecommons.org/licenses/by-nc-nd/4.0/Repositorio Institucional - ULASALLEreponame:ULASALLE-Institucionalinstname:Universidad La Salleinstacron:ULASALLEResearch Subject Categories::TECHNOLOGYResearch Subject Categories::TECHNOLOGYIdentification of architectural technical debt: An analysis based on naming patternsinfo:eu-repo/semantics/articleORIGINALMendoza del Carpio Paul 2016 (2).docxMendoza del Carpio Paul 2016 (2).docx"Artículo principal"application/vnd.openxmlformats-officedocument.wordprocessingml.document12734http://repositorio.ulasalle.edu.pe/bitstream/20.500.12953/46/1/Mendoza%20del%20Carpio%20Paul%202016%20%282%29.docx198717f3f317e215552da397b90a7f68MD51LICENSElicense.txtlicense.txttext/plain; charset=utf-81748http://repositorio.ulasalle.edu.pe/bitstream/20.500.12953/46/2/license.txt8a4605be74aa9ea9d79846c1fba20a33MD5220.500.12953/46oai:repositorio.ulasalle.edu.pe:20.500.12953/462021-06-11 14:39:34.245Repositorio Institucional de la Universidad La Sallerepositorio@ulasalle.edu.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Identification of architectural technical debt: An analysis based on naming patterns
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