Bing Li

Information Systems · with Chen · 2014

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Bing Li trusts overall

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

  1. Tim Menzies
  2. Cagatay Catal
  3. Thomas Zimmermann
  4. Ludmila I. Kuncheva
  5. T. J. Watson
  6. Marian Jureczko
  7. Burak Turhan
  8. N. Nagappan
  9. Tibor Gyimóthy
  10. Marco D'Ambros

Papers from Bing Li's perspective

Ordered by how strongly the researchers Bing Li trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Data Mining Static Code Attributes to Learn Defect Predictors (IEEE Transactions on Software Engineering)
  2. On the relative value of cross-company and within-company data for defect prediction (Empirical Software Engineering)
  3. Empirical validation of object-oriented metrics on open source software for fault prediction (IEEE Transactions on Software Engineering)
  4. Predicting defects using network analysis on dependency graphs (2008 ACM/IEEE 30th International Conference on Software Engineering)
  5. Empirical Analysis of CK Metrics for Object-Oriented Design Complexity: Implications for Software Defects (IEEE Trans. Software Eng.)
  6. An introduction to ROC analysis
  7. Cross-project defect prediction: a large scale experiment on data vs. domain vs. process (ESEC/SIGSOFT FSE)
  8. Investigating the effect of dataset size, metrics sets, and feature selection techniques on software fault prediction problem (Information Sciences)
  9. Transfer defect learning (International Conference on Software Engineering)
  10. Transfer learning for cross-company software defect prediction (Information and Software Technology)

Their papers