Artículo
DirectDebug: A software package for the automated testing and debugging of feature models
Autor/es | Le, Viet-Man
Felfernig, Alexander Tran, Thi Ngoc Trang Atas, Müslüm Uta, Mathias Benavides Cuevas, David Felipe Galindo Duarte, José Ángel |
Departamento | Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos |
Fecha de publicación | 2021 |
Fecha de depósito | 2021-10-25 |
Publicado en |
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Resumen | Complex and large-scale feature models can become faulty, i.e., do not represent the expected variability
properties of the underlying software artifact. In this paper, we propose the DirectDebug algorithm that
supports ... Complex and large-scale feature models can become faulty, i.e., do not represent the expected variability properties of the underlying software artifact. In this paper, we propose the DirectDebug algorithm that supports the automated testing and debugging of variability models. Our approach assists software engineers in identifying an adaptation hint (diagnosis) that makes all test cases consistent with the knowledge base. We also develop the software package so-called d2bug_eval to evaluate the DirectDebug’s performance. The software package can be re-produced thoroughly to evaluate consistency-based algorithms. |
Agencias financiadoras | Austrian Research Promotion Agency Ministerio de Economía y Competitividad (MINECO). España |
Identificador del proyecto | ParXCel project (880657
RTI2018-101204-B-C22 |
Cita | Le, V., Felfernig, A., Tran, T.N.T., Atas, M., Uta, M., Benavides Cuevas, D.F. y Galindo Duarte, J.Á. (2021). DirectDebug: A software package for the automated testing and debugging of feature models. Software Impacts, 9 (August 2021) |
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