Evolutionary Algorithms for Feature Model Update
To run experiments, execute the JUnit test case experiment in class eafmupdate/experiments/eafmupdate/process/Experiments.java (optionally with Java VM arguments -Xms8192M -Xmx8192M to increase heap space)
To run experiments on selected models and/or process strategies, set the variables useOnlyOneProcess and useOnlyOneModel in the same class Experiments.java to true/false.
To obtain model properties, run JUnit test case eafmupdate\experiments\eafmupdate.process.PrintProperties.printModelProperties().
fmmutation project for the mutation operators over fm
fmupdate.models models and case studies for the fm update
Paolo Arcaini, Angelo Gargantini, and Marco Radavelli Achieving change requirements of feature models by an evolutionary approach in Journal of Systems and SoftwareElsevier BV, vol. 150 (2019): 64--76 download the pdf file
Paolo Arcaini, Angelo Gargantini, and Marco Radavelli An evolutionary process for product-driven updates of feature models in Proceedings of the 12th International Workshop on Variability Modelling of Software-Intensive Systems - VAMOS 2018ACM Press (2018) download the pdf file