Travelled to:
3 × Italy
Collaborated with:
D.Poshyvanyk M.L.Vásquez G.Bavota ∅ M.White M.D.Penta M.Tufano D.M.Germán Q.Luo B.Li S.Scalabrino R.Oliveto K.Moran C.Bernal-Cárdenas
Talks about:
code (4) develop (3) licens (3) usag (3) softwar (2) android (2) detect (2) studi (2) scale (2) learn (2)
Person: Christopher Vendome
DBLP: Vendome:Christopher
Contributed to:
Wrote 9 papers:
- ICPC-2015-VendomeLBPGP #git #java #scalability
- License usage and changes: a large-scale study of Java projects on GitHub (CV, MLV, GB, MDP, DMG, DP), pp. 218–228.
- ICSE-v2-2015-Vendome #case study #git #scalability
- A Large Scale Study of License Usage on GitHub (CV), pp. 772–774.
- ICSME-2015-VasquezVLP #android #detection #developer #how #performance
- How developers detect and fix performance bottlenecks in Android apps (MLV, CV, QL, DP), pp. 352–361.
- ICSME-2015-VendomeVBPGP #developer #why
- When and why developers adopt and change software licenses (CV, MLV, GB, MDP, DMG, DP), pp. 31–40.
- MSR-2015-WhiteVVP #learning #repository #towards
- Toward Deep Learning Software Repositories (MW, CV, MLV, DP), pp. 334–345.
- ASE-2015-VasquezLVP #database #developer #documentation #how #source code
- How do Developers Document Database Usages in Source Code? (N) (MLV, BL, CV, DP), pp. 36–41.
- ASE-2016-WhiteTVP #clone detection #detection #learning
- Deep learning code fragments for code clone detection (MW, MT, CV, DP), pp. 87–98.
- ASE-2017-ScalabrinoBVVPO #automation #how #question
- Automatically assessing code understandability: how far are we? (SS, GB, CV, MLV, DP, RO), pp. 417–427.
- 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.