Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/36508

TitleAn approach for graphical user interface external bad smells detection
Author(s)Silva, João Carlos
Campos, J. Creissac
Saraiva, João Alexandre
Silva, J. L.
KeywordsGUI
Reverse Engineering
Bad Smells
Issue date2014
PublisherSpringer
JournalAdvances in Intelligent Systems and Computing
CitationJ.C. Silva, J.C. Campos, J. Saraiva and J.L. Silva. An approach for graphical user interface external bad smells detection. In New Perspectives in Information Systems and Technologies, vol. 2, volume 276 of Advances in Intelligent Systems and Computing, pages 199-205. Springer. 2014.
Abstract(s)In the context of an effort to develop methodologies to support the evaluation of interactive system, this paper investigates an approach to detect graphical user interface external bad smells. Our approach consists in detecting user interface external bad smells through model-based reverse engineering from source code. Models are used to define 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. From these models we obtain metrics that can later be used to identify the smells.
TypeConference paper
URIhttp://hdl.handle.net/1822/36508
ISBN978-3-319-05947-1
978-3-319-05948-8
DOI10.1007/978-3-319-05948-8_19
ISSN2194-5357
Publisher versionhttp://dx.doi.org/10.1007/978-3-319-05948-8_19
Peer-Reviewedyes
AccessOpen access
Appears in Collections:HASLab - Artigos em atas de conferências internacionais (texto completo)

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