GUI reverse engineering with machine learning

• Type: Article in International Conference Proceedings Book
• Date: 2012

Authors

Morgado, IC (Author) Other; Paiva, ACR (Author) FEUP; Faria, JP (Author) FEUP; Camacho, R (Author) FEUP

Conference proceedings International

Title: 2012 1st International Workshop on Realizing AI Synergies in Software Engineering, RAISE 2012 - Proceedings

Pages: 27-31

2012 1st International Workshop on Realizing AI Synergies in Software Engineering, RAISE 2012

Zurich, 5 June 2012 through 5 June 2012

Indexing

ISI Web of Knowledge

Scopus - 9 Citations

INSPEC

COMPENDEX

Scientific classification

CORDIS: Technological sciences > Engineering > Computer engineering

Other information

Authenticus ID: P-008-571

DOI: 10.1109/raise.2012.6227966

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