Peng He

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 Peng He 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 Peng He's perspective

Ordered by how strongly the researchers Peng He 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. A comparison of modified reconstructability analysis and Ashenhurst‐Curtis decomposition of Boolean functions
  6. Empirical Analysis of CK Metrics for Object-Oriented Design Complexity: Implications for Software Defects (IEEE Trans. Software Eng.)
  7. Predicting the location and number of faults in large software systems (IEEE Transactions on Software Engineering)
  8. An introduction to ROC analysis
  9. Cross-project defect prediction: a large scale experiment on data vs. domain vs. process (ESEC/SIGSOFT FSE)
  10. Mining metrics to predict component failures (International Conference on Software Engineering)

Their papers