Rongxin Wu

Information Systems · 2011–2018

A researcher in the Science corpus: 3 papers; trusts 17 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

• Information Systems — 47 citations into it; #2,393 of 8,771 by trust here, #2,471 by citations
• Software — 36 citations into it; #322 of 1,227 by trust here, #281 by citations
• Computer Networks and Communications — 12 citations into it; #4,970 of 9,886 by trust here, #6,498 by citations
• Artificial Intelligence — 10 citations into it

Whom Rongxin Wu trusts overall

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

1. Sunghun Kim
2. Thomas Zimmermann
3. Audris Mockus
4. Dekang Lin
5. Jacek Sliwerski
6. Andreas Zeller
7. Christian Bird
8. L. Votta
9. E. James Jr. Whitehead
10. Fan Long

Who trusts Rongxin Wu overall

1. Chakkrit Kla Tantithamthavorn
2. Jaechang Nam
3. Ahmed E. Hassan
4. Shane McIntosh
5. Sunghun Kim
6. Ken-ichi Matsumoto
7. Yasutaka Kamei
8. Sinno Jialin Pan
9. Kim Herzig
10. Chun Xia

Papers from Rongxin Wu's perspective

Ordered by how strongly the researchers Rongxin Wu 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. Fair and balanced?: bias in bug-fix datasets (ESEC/SIGSOFT FSE)
3. Mining metrics to predict component failures (International Conference on Software Engineering)
4. Two case studies of open source software development: Apache and Mozilla (TSEM)
5. When do changes induce fixes? (ACM SIGSOFT Softw. Eng. Notes)
6. A systematic study of automated program repair: Fixing 55 out of 105 bugs for $8 each
7. An approach to detecting duplicate bug reports using natural language and execution information (2008 ACM/IEEE 30th International Conference on Software Engineering)
8. Classifying Software Changes: Clean or Buggy? (IEEE Transactions on Software Engineering)
9. Automatic mining of source code repositories to improve bug finding techniques
10. Populating a Release History Database from version control and bug tracking systems

Their papers

• Context-Aware Patch Generation for Better Automated Program Repair (2018) — 391 citations
• Dealing with noise in defect prediction (2011) — 371 citations
• ReLink: recovering links between bugs and changes (2011) — 423 citations