Travelled to:3 × Italy
Collaborated with:D.Poshyvanyk G.Bavota M.D.Penta F.Palomba R.Oliveto A.D.Lucia M.White C.Vendome C.Watson A.Marcus D.D.Nucci M.L.Vásquez K.Moran C.Bernal-Cárdenas
Talks about:code (4) smell (3) investig (2) learn (2) empir (2) test (2) translat (1) refactor (1) fragment (1) landfil (1)
Person: Michele Tufano
DBLP: Tufano:Michele
Contributed to:
20152015
2015
2016
20172018Wrote 7 papers:
- ICSE-v1-2015-TufanoPBOPLP #smell #why
- When and Why Your Code Starts to Smell Bad (MT, FP, GB, RO, MDP, ADL, DP), pp. 403–414.
- ICSE-v2-2015-PalombaTBOMPL #refactoring
- Extract Package Refactoring in ARIES (FP, MT, GB, RO, AM, DP, ADL), pp. 669–672.
- MSR-2015-PalombaNTBOPL #dataset #evaluation #named #open data #smell
- Landfill: An Open Dataset of Code Smells with Public Evaluation (FP, DDN, MT, GB, RO, DP, ADL), pp. 482–485.
- ASE-2016-TufanoPBPOLP #empirical #smell
- An empirical investigation into the nature of test smells (MT, FP, GB, MDP, RO, ADL, DP), pp. 4–15.
- ASE-2016-WhiteTVP #clone detection #detection #learning
- Deep learning code fragments for code clone detection (MW, MT, CV, DP), pp. 87–98.
- ESEC-FSE-2017-VasquezBTMPVBP #android #mutation testing #testing
- Enabling mutation testing for Android apps (MLV, GB, MT, KM, MDP, CV, CBC, DP), pp. 233–244.
- ASE-2018-TufanoWBPWP #empirical #learning
- An empirical investigation into learning bug-fixing patches in the wild via neural machine translation (MT, CW, GB, MDP, MW, DP), pp. 832–837.