Multi-objective Module Clustering for Kate

نویسندگان

  • Matheus Paixão
  • Mark Harman
  • Yuanyuan Zhang
چکیده

This paper applies multi-objective search based software remodularization to the program Kate, showing how this can improve cohesion and coupling, and investigating differences 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.

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تاریخ انتشار 2015