Paper Info
Title
Towards fixing inconsistencies in models with variability
Abstract
Recent years have witnessed a convergence between research in SPL and Model-Driven Engineering (MDE) that leverages the complementary capabilities that both paradigms can offer. A crucial factor for the success of MDE is the availability of effective support for detecting and fixing inconsistencies among model elements. The importance of such support is attested by the extensive literature devoted to the topic. However, when coupled with variability, the research focus has been devoted to inconsistency detection, while leaving the important issue of fixing the inconsistency largely unaddressed. In this research-in-progress paper, we explore one of the issues that variability raises for inconsistency fixing. Namely, in which features to locate the fixes. We compute what is the minimal number of fixes and use it as a baseline to compare fixes obtained with a heuristic based on feature model analysis and random approaches. Our work highlights the pros and cons of both approaches and suggests how they could be addressed.
Year
DOI
Venue
2012
10.1145/2110147.2110158
VaMoS
Keywords
Field
DocType
research focus,important issue,extensive literature,crucial factor,variability raise,feature model analysis,model element,model-driven engineering,effective support,complementary capability,consistency,software development,variability,model driven engineering
Convergence (routing),Data mining,Heuristic,Computer science,Feature model,Software product line
Conference
Citations 
PageRank 
References 
8
0.49
21
Authors
2
Name
Order
Citations
PageRank
Roberto E. Lopez-Herrejon164547.36
Alexander Egyed22434178.98