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GUI reverse engineering with machine learning

Title
GUI reverse engineering with machine learning
Type
Article in International Conference Proceedings Book
Year
2012
Authors
Morgado, IC
(Author)
Other
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Paiva, ACR
(Author)
FEUP
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Camacho, R
(Author)
FEUP
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Conference proceedings International
Pages: 27-31
2012 1st International Workshop on Realizing AI Synergies in Software Engineering, RAISE 2012
Zurich, 5 June 2012 through 5 June 2012
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Scientific classification
CORDIS: Technological sciences > Engineering > Computer engineering
Other information
Authenticus ID: P-008-571
Abstract (EN): This paper proposes a new approach to reduce the effort of building formal models representative of the structure and behaviour of Graphical User Interfaces (GUI). The main goal is to automatically extract the GUI model with a dynamic reverse engineering process, consisting in an exploration phase, that extracts information by interacting with the GUI, and in a model generation phase that, making use of machine learning techniques, uses the extracted information of the first step to generate a state-machine model of the GUI, including guard conditions to remove ambiguity in transitions. © 2012 IEEE.
Language: English
Type (Professor's evaluation): Scientific
No. of pages: 5
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