NDLI: GUI reverse engineering with machine learning

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Content Provider	ACM Digital Library
Author	Camacho, Rui Morgado, Inês Coimbra Faria, João Pascoal Paiva, Ana C. R.
Abstract	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.
Starting Page	27
Ending Page	31
Page Count	5
File Format	PDF
ISBN	9781467317535
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2012-06-05
Access Restriction	Subscribed
Subject Keyword	Model-based testing Reverse engineering Machine learning Inductive logic programming
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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GUI reverse engineering with machine learning