Norbert Siegmund, Stefan Sobernig, and Sven Apel. Attributed Variability Models: Outside the Comfort Zone. Proceedings of the 11th Joint Meeting of the European Software Engineering Conference and the ACM SIGSOFT International Symposium on the Foundations of Software Engineering (ESEC/FSE'17). ACM Press, 2017. to appear. DOI: 10.1145/3106237.3106251
- corpusData contains the data set of performance, main memory, and binary size measurements on 19 real-world systems. These data are used for the replication study (Section 4) and for the Thor evaluation (Section 5).
- literatureStudy contains background material on the motivating literature study (Section 2.2), e.g., a full bibliographical list of the reviewed papers.
- replication contains the replication package of our robustness study (Section 4), e.g., JMetal sources, deployment scripts, and data sets.
- Thor contains the sources of the generator tool for attributed variability models (Section 3).
Special thanks are due to Abdel Salam Sayyad (Department of Electrical and Computer Engineering Birzeit University, Palestine) for providing access to the JMetal material plus study data of their ASE'13 paper and his kind support in preparing our replication study.