Using Naming Patterns for Identifying Architectural Technical Debt

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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:2017
Institución:Universidad La Salle
Repositorio:ULASALLE-Institucional
Lenguaje:inglés
OAI Identifier:oai:repositorio.ulasalle.edu.pe:20.500.12953/62
Enlace del recurso:http://repositorio.ulasalle.edu.pe/handle/20.500.12953/62
Nivel de acceso:acceso restringido
Materia:Architectural technical debt Naming pattern Code analysis
Architectural technical
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dc.title.es_ES.fl_str_mv Using Naming Patterns for Identifying Architectural Technical Debt
title Using Naming Patterns for Identifying Architectural Technical Debt
spellingShingle Using Naming Patterns for Identifying Architectural Technical Debt
Mendoza del Carpio, Paul
Architectural technical debt Naming pattern Code analysis
Architectural technical
title_short Using Naming Patterns for Identifying Architectural Technical Debt
title_full Using Naming Patterns for Identifying Architectural Technical Debt
title_fullStr Using Naming Patterns for Identifying Architectural Technical Debt
title_full_unstemmed Using Naming Patterns for Identifying Architectural Technical Debt
title_sort Using Naming Patterns for Identifying Architectural Technical Debt
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 Architectural technical debt Naming pattern Code analysis
topic Architectural technical debt Naming pattern Code analysis
Architectural technical
dc.subject.ocde.es_ES.fl_str_mv Architectural technical
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 2017
dc.date.accessioned.none.fl_str_mv 2019-04-01T21:48:43Z
dc.date.available.none.fl_str_mv 2019-04-01T21:48:43Z
dc.date.issued.fl_str_mv 2017-01-18
dc.type.es_ES.fl_str_mv info:eu-repo/semantics/article
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dc.identifier.citation.es_ES.fl_str_mv P.M.D. Carpio,"Using Naming Patterns for Identifying Architectural Technical Debt", Advances in Science, Technology and Engineering Systems Journal, vol. 2, no. 1, pp. 248-254 (2017).
dc.identifier.issn.none.fl_str_mv 2415-6698
dc.identifier.uri.none.fl_str_mv http://repositorio.ulasalle.edu.pe/handle/20.500.12953/62
dc.identifier.journal.es_ES.fl_str_mv Technology and Engineering Systems Journal
dc.identifier.doi.es_ES.fl_str_mv 10.25046/aj020130
identifier_str_mv P.M.D. Carpio,"Using Naming Patterns for Identifying Architectural Technical Debt", Advances in Science, Technology and Engineering Systems Journal, vol. 2, no. 1, pp. 248-254 (2017).
2415-6698
Technology and Engineering Systems Journal
10.25046/aj020130
url http://repositorio.ulasalle.edu.pe/handle/20.500.12953/62
dc.language.iso.eng-US.fl_str_mv eng
language eng
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spelling Mendoza del Carpio, Paul2019-04-01T21:48:43Z2019-04-01T21:48:43Z2017-01-18P.M.D. Carpio,"Using Naming Patterns for Identifying Architectural Technical Debt", Advances in Science, Technology and Engineering Systems Journal, vol. 2, no. 1, pp. 248-254 (2017).2415-6698http://repositorio.ulasalle.edu.pe/handle/20.500.12953/62Technology and Engineering Systems Journal10.25046/aj020130Hasty 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/mswordengTechnology and Engineering Systems Journalinfo:eu-repo/semantics/articlehttps://astesj.com/v02/i01/p30/info:eu-repo/semantics/restrictedAccesshttps://creativecommons.org/licenses/by-nc-nd/4.0/Repositorio Institucional - ULASALLEreponame:ULASALLE-Institucionalinstname:Universidad La Salleinstacron:ULASALLEArchitectural technical debt Naming pattern Code analysisArchitectural technicalUsing Naming Patterns for Identifying Architectural Technical Debtinfo:eu-repo/semantics/articleORIGINALIdentification of architectural technical debt An analysis based on naming patterns.docxIdentification of architectural technical debt An analysis based on naming patterns.docx"Artículo principal"application/vnd.openxmlformats-officedocument.wordprocessingml.document13045http://repositorio.ulasalle.edu.pe/bitstream/20.500.12953/62/1/Identification%20of%20architectural%20technical%20debt%20An%20analysis%20based%20on%20naming%20patterns.docxe8d28f3cb34ae7f779b02a05133c2a95MD51LICENSElicense.txtlicense.txttext/plain; charset=utf-81748http://repositorio.ulasalle.edu.pe/bitstream/20.500.12953/62/2/license.txt8a4605be74aa9ea9d79846c1fba20a33MD5220.500.12953/62oai:repositorio.ulasalle.edu.pe:20.500.12953/622021-06-11 14:39:34.431Repositorio Institucional de la Universidad La Sallerepositorio@ulasalle.edu.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Using Naming Patterns for Identifying Architectural Technical Debt
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