DirectDebug: A software package for the automated testing and debugging of feature models

Viet-Man Le, Alexander Felfernig, Thi Ngoc Trang Tran, Müslüm Atas, Mathias Uta, David Benavides, José Galindo

Publikation: Beitrag in einer FachzeitschriftArtikel

Abstract

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.
Originalspracheenglisch
Aufsatznummer100085
FachzeitschriftSoftware Impacts
Jahrgang9
DOIs
PublikationsstatusVeröffentlicht - Aug 2021

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