Tien-Duy B. Le

Information Systems · 2015

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Tien-Duy B. Le trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Ahmed E. Hassan
  2. Tim Menzies
  3. Sunghun Kim
  4. Trevor J. Hastie
  5. Riccardo Scandariato
  6. G. Antoniol
  7. Mark A. Hall
  8. Laura Moreno
  9. Leo Breiman
  10. Jeremy Greenwald

Papers from Tien-Duy B. Le's perspective

Ordered by how strongly the researchers Tien-Duy B. Le trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Classifying Software Changes: Clean or Buggy? (IEEE Transactions on Software Engineering)
  2. Random Forests
  3. Predicting faults using the complexity of code changes (2009 IEEE 31st International Conference on Software Engineering)
  4. The WEKA data mining software: an update
  5. Data Mining Static Code Attributes to Learn Defect Predictors (IEEE Transactions on Software Engineering)
  6. Automatic generation of natural language summaries for Java classes (IEEE International Conference on Program Comprehension)
  7. Is it a bug or an enhancement?: a text-based approach to classify change requests (Conference of the Centre for Advanced Studies on Collaborative Research)
  8. Predicting Vulnerable Software Components via Text Mining (IEEE Transactions on Software Engineering)
  9. Bagging Predictors
  10. Empirical validation of object-oriented metrics on open source software for fault prediction (IEEE Transactions on Software Engineering)

Their papers