Travelled to:1 × China
1 × India
1 × The Netherlands
2 × Canada
2 × Italy
Collaborated with:D.Lo F.Thung P.S.Kochhar R.J.Oentaryo M.Li S.Wang L.Bao D.L.0001 M.L.Vásquez D.Poshyvanyk X.D.Le I.Beschastnikh J.Yi A.Roychoudhury
Talks about:local (9) bug (5) fault (4) base (4) specif (3) tool (3) spectrum (2) support (2) inform (2) featur (2)
Person: Tien-Duy B. Le
DBLP: Le:Tien=Duy_B=
Contributed to:
2015
2015
2015
2015
20142014
20142013
20152018Wrote 12 papers:
- ESEC-FSE-2015-LeOL #debugging #information retrieval #locality
- Information retrieval and spectrum based bug localization: better together (TDBL, RJO, DL), pp. 579–590.
- ICPC-2015-LeVLP #automation #commit #information management #named
- RCLinker: automated linking of issue reports and commits leveraging rich contextual information (TDBL, MLV, DL, DP), pp. 36–47.
- ICSME-2015-LeLL #fault #feature model
- Constrained feature selection for localizing faults (TDBL, DL, ML), pp. 501–505.
- SANER-2015-LeL #metric #mining #rule-based #specification
- Beyond support and confidence: Exploring interestingness measures for rule-based specification mining (TDBL, DL), pp. 331–340.
- FSE-2014-ThungLKL #debugging #locality #named #tool support
- BugLocalizer: integrated tool support for bug localization (FT, TDBL, PSK, DL), pp. 767–770.
- ICSME-2014-LeYLTR #contract
- Dynamic Inference of Change Contracts (TDBL, JY, DL, FT, AR), pp. 451–455.
- MSR-2014-KochharLL #classification #debugging #locality #question
- It’s not a bug, it’s a feature: does misclassification affect bug localization? (PSK, TDBL, DL), pp. 296–299.
- ICSM-2013-LeL #approach #automation #effectiveness #fault #locality #predict #tool support
- Will Fault Localization Work for These Failures? An Automated Approach to Predict Effectiveness of Fault Localization Tools (TDBL, DL), pp. 310–319.
- ICSM-2013-LeTL #fault #locality #theory and practice
- Theory and Practice, Do They Match? A Case with Spectrum-Based Fault Localization (TDBL, FT, DL), pp. 380–383.
- ICSM-2013-LeWL #locality #multi
- Multi-abstraction Concern Localization (TDBL, SW, DL), pp. 364–367.
- ASE-2015-LeLLB #specification
- Synergizing Specification Miners through Model Fissions and Fusions (T) (TDBL, XBDL, DL, IB), pp. 115–125.
- ESEC-FSE-2018-LeB0 #mining #named #network #specification #using
- DSM: a specification mining tool using recurrent neural network based language model (TDBL, LB, DL0), pp. 896–899.