Tue 6 Nov 2018 13:30 - 14:15 at Charles River - III Chair(s): Philipp Haller

Identification of potential refactoring opportunities is an important step in the refactoring process. In large systems, manual identification of useful refactoring opportunities requires a lot of effort and time; therefore, there is a need for automatic identification. However, this problem has not yet been addressed well for many non-trivial refactorings that highly improve code quality. Two such non-trivial, yet popular refactorings are “Replace Type Code with Subclass” (SC) and “Replace Type Code with State” (ST) refactorings. In this thesis,we present a formal definition of control-fields which forms the basis for the identification of SC/ST refactoring opportunities. We present novel static analyses to efficiently identify SC and ST refactoring opportunities.We have implemented our approach in a tool called Auto-SCST and evaluated its effectiveness on open-source Java applications.

Tue 6 Nov
Times are displayed in time zone: (GMT-05:00) Guadalajara, Mexico City, Monterrey change

13:30 - 15:00: DocSymposium - III at Charles River
Chair(s): Philipp HallerKTH, Sweden
splash-2018-Doctoral-Symposium13:30 - 14:15
Jyothi VeduradaIIT Madras
splash-2018-Doctoral-Symposium14:15 - 15:00
Jacob HughesKing's College London