An approach for graphical user interface bad smells detection

Bibliographic Details
Main Author: Silva, J.C.
Publication Date: 2014
Other Authors: Campos, J.C., Saraiva, J., Silva, J.L.
Format: Article
Language: eng
Source: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Download full: http://hdl.handle.net/11110/618
Summary: In the context of an e ort to develop methodologies to support the evaluation of interactive system, this paper investigates an approach to detect graphical user interface bad smells. Our approach consists in detecting user interface bad smells through model-based reverse engineering from source code. Models are used to de ne which widgets are present in the interface, when can particular graphical user interface (GUI) events occur, under which conditions, which system actions are executed, and which GUI state is generated next.
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spelling An approach for graphical user interface bad smells detectionGUIReverse engineeringBad smellsIn the context of an e ort to develop methodologies to support the evaluation of interactive system, this paper investigates an approach to detect graphical user interface bad smells. Our approach consists in detecting user interface bad smells through model-based reverse engineering from source code. Models are used to de ne which widgets are present in the interface, when can particular graphical user interface (GUI) events occur, under which conditions, which system actions are executed, and which GUI state is generated next.2014-03-04T15:22:54Z2014-03-04T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/11110/618oai:ciencipca.ipca.pt:11110/618eng2194-5357http://hdl.handle.net/11110/618metadata only accessinfo:eu-repo/semantics/openAccessSilva, J.C.Campos, J.C.Saraiva, J.Silva, J.L.reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2022-09-05T12:52:11Zoai:ciencipca.ipca.pt:11110/618Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T15:01:04.901429Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv An approach for graphical user interface bad smells detection
title An approach for graphical user interface bad smells detection
spellingShingle An approach for graphical user interface bad smells detection
Silva, J.C.
GUI
Reverse engineering
Bad smells
title_short An approach for graphical user interface bad smells detection
title_full An approach for graphical user interface bad smells detection
title_fullStr An approach for graphical user interface bad smells detection
title_full_unstemmed An approach for graphical user interface bad smells detection
title_sort An approach for graphical user interface bad smells detection
author Silva, J.C.
author_facet Silva, J.C.
Campos, J.C.
Saraiva, J.
Silva, J.L.
author_role author
author2 Campos, J.C.
Saraiva, J.
Silva, J.L.
author2_role author
author
author
dc.contributor.author.fl_str_mv Silva, J.C.
Campos, J.C.
Saraiva, J.
Silva, J.L.
dc.subject.por.fl_str_mv GUI
Reverse engineering
Bad smells
topic GUI
Reverse engineering
Bad smells
description In the context of an e ort to develop methodologies to support the evaluation of interactive system, this paper investigates an approach to detect graphical user interface bad smells. Our approach consists in detecting user interface bad smells through model-based reverse engineering from source code. Models are used to de ne which widgets are present in the interface, when can particular graphical user interface (GUI) events occur, under which conditions, which system actions are executed, and which GUI state is generated next.
publishDate 2014
dc.date.none.fl_str_mv 2014-03-04T15:22:54Z
2014-03-04T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/11110/618
oai:ciencipca.ipca.pt:11110/618
url http://hdl.handle.net/11110/618
identifier_str_mv oai:ciencipca.ipca.pt:11110/618
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2194-5357
http://hdl.handle.net/11110/618
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eu_rights_str_mv openAccess
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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