Naoyasu Ubayashi

Information Systems · 2013

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Naoyasu Ubayashi trusts

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

  1. Audris Mockus (in Information Systems)
  2. Ahmed E. Hassan (in Information Systems)
  3. Colin L. Mallows (in Statistics and Probability)

Papers from Naoyasu Ubayashi's perspective

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

  1. Predicting the location and number of faults in large software systems (IEEE Transactions on Software Engineering)
  2. Predicting Fault Incidence Using Software Change History (IEEE Trans. Software Eng.)
  3. When do changes induce fixes? (ACM SIGSOFT Softw. Eng. Notes)
  4. Two case studies of open source software development: Apache and Mozilla (TSEM)
  5. Empirical validation of object-oriented metrics on open source software for fault prediction (IEEE Transactions on Software Engineering)
  6. Predicting risk of software changes (Bell Labs technical journal)
  7. Use of relative code churn measures to predict system defect density (Proceedings. 27th International Conference on Software Engineering, 2005. ICSE 2005.)
  8. Classifying Software Changes: Clean or Buggy? (IEEE Transactions on Software Engineering)
  9. A comparative analysis of the efficiency of change metrics and static code attributes for defect prediction (2008 ACM/IEEE 30th International Conference on Software Engineering)
  10. Predicting faults using the complexity of code changes (2009 IEEE 31st International Conference on Software Engineering)

Their papers