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

dc.creatorMendoza del Carpio, Paul
dc.date.accessioned2018-11-23T14:19:49Z
dc.date.accessioned2023-06-01T13:53:51Z
dc.date.available2018-11-23T14:19:49Z
dc.date.available2023-06-01T13:53:51Z
dc.date.created2018-11-23T14:19:49Z
dc.date.issued2016-04-28
dc.identifierP. 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.identifierhttp://repositorio.ulasalle.edu.pe/handle/20.500.12953/46
dc.identifier2016 8th Euro American Conference on Telematics and Information Systems (EATIS), Cartagena, 2016
dc.identifier10.1109/EATIS.2016.7520104
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/6517180
dc.description.abstractHasty 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.
dc.languageeng
dc.publisher2016 8th Euro American Conference on Telematics and Information Systems (EATIS)
dc.relationhttps://ieeexplore.ieee.org/document/7520104
dc.relationinfo:eu-repo/semantics/article
dc.rightshttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rightsinfo:eu-repo/semantics/restrictedAccess
dc.sourceRepositorio Institucional - ULASALLE
dc.subjectResearch Subject Categories::TECHNOLOGY
dc.titleIdentification of architectural technical debt: An analysis based on naming patterns
dc.typeinfo:eu-repo/semantics/article


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