Improving the Module Clustering of a C/C++ Editor using a Multi-objective Genetic Algorithm

This Technical Report applies multi-objective search based software remodularization to a C/C++ editor called Kate, showing how this can improve cohesion and coupling, and investigating dif-ferences between weighted and unweighted approaches and between equal-size and maximising clusters approaches. We also investigate the effects of considering omnipresent modules. Overall, we provide evidence that search based modularization can benefit Kate developers