Liang Gong

Information Systems · 2011

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Information Systems — 17 citations into it; #8,188 of 8,771 by trust here, #5,713 by citations
• Software — 10 citations into it; #1,123 of 1,227 by trust here, #770 by citations
• Computer Networks and Communications — 7 citations into it
• Artificial Intelligence — 5 citations into it

Whom Liang Gong trusts overall

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

1. Sunghun Kim
2. Thomas Zimmermann

Who trusts Liang Gong overall

1. Sunghun Kim

Papers from Liang Gong's perspective

Ordered by how strongly the researchers Liang Gong 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. Mining metrics to predict component failures (International Conference on Software Engineering)
3. When do changes induce fixes? (ACM SIGSOFT Softw. Eng. Notes)
4. Fair and balanced?: bias in bug-fix datasets (ESEC/SIGSOFT FSE)
5. Data Mining Static Code Attributes to Learn Defect Predictors (IEEE Transactions on Software Engineering)
6. Classifying Software Changes: Clean or Buggy? (IEEE Transactions on Software Engineering)
7. Automatic mining of source code repositories to improve bug finding techniques
8. Identifying reasons for software changes using historic databases (Proceedings 2000 International Conference on Software Maintenance)
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

• Dealing with noise in defect prediction (2011) — 371 citations