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EvoMLTest 2025

Special Session on

Application of Evolutionary Computation and Machine Learning to Testing

at the 17^th Asian Conference on Intelligent Information and Database Systems (ACIIDS 2025)
23-25 April 2025, Kitakyushu, Japan

Manuel Méndez
Departamento de Sistemas Informáticos y Computación
Facultad de Informática, Universidad Complutense de Madrid, Spain
E-mail: manumend@ucm.es

Manuel Núñez
Departamento de Sistemas Informáticos y Computación
Facultad de Informática, Universidad Complutense de Madrid, Spain
E-mail: mn@sip.ucm.es


Program Committee
Paolo Arcaini, National Institute of Informatics, Japan
Adrián Bernal, Universidad de Castilla-La Mancha, Spain
Silvia Bonfanti, University of Bergamo, Italy
Ana Cavalli, Institut Polytechnique de Paris/Telecom SudParis, France
Pedro Delgado-Pérez, Universidad de Cádiz, Spain
Khaled El-Fakih, American University of Sharjah, UAE
Raluca Lefticaru, University of Bradford, UK
José Antonio Mateo, University of Castilla-La Mancha, Spain
José Ignacio Requeno, Complutense University of Madrid, Spain
Jesús Rosa-Bilbao, Universidad de Cádiz, Spain
Franz Wotawa, Technische Universitaet Graz, Austria

Current software systems are increasingly complex and, therefore, it is more difficult and costly to ensure that they do what they are supposed to do. Software testing plays a key role to increase the confidence on the correctness of systems. There is a need to improve testing (up to 60% of the project budgets), so that costs can be cut, by automating most of the tasks, and the amount of detected errors can be increased, by using better techniques.

During the last years, we are contemplating the emergence of new testing techniques based on the application of evolutionary computation and machine learning techniques. The reliability of complex systems is improved thanks to good software testing methodologies and software testing is improved thanks to knowledge obtained from the techniques used to develop these systems. The main aim of this special session is to contribute to the progress in the improvement and appropriate use of evolutionary computation and machine learning techniques in testing. We are interested in the adaption of existing testing approaches but we also look forward to novel testing techniques based on these paradigms. We are sure that the collaboration of researchers from different areas will result in benefits that can be applied in some of the research lines that are under the umbrella of the ACIIDS conference.

The topics of interest for this special session include, but are not limited to, the following:

Paper submission: January 19, 2025 (hard deadline)
Notification of acceptance: February 10, 2025
Camera-ready papers: February 24, 2025
Registration & payment: February 24, 2025
Conference date: April 23-25, 2025