E. James Jr. Whitehead

Information Systems · 2006–2008

A researcher in the Science corpus: 3 papers; trusts 28 researchers and is trusted by 21 researchers here, as inferred from the citation graph.

Subfields

• Information Systems — 25 citations into it; #1,160 of 8,771 by trust here, #2,260 by citations
• Software — 15 citations into it; #227 of 1,227 by trust here, #602 by citations
• Artificial Intelligence — 11 citations into it
• Computer Networks and Communications — 5 citations into it; #1,626 of 9,886 by trust here, #3,228 by citations

Whom E. James Jr. Whitehead trusts overall

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

1. Audris Mockus
2. Thorsten Joachims
3. Fabrizio Sebastiani
4. Greg Nelson
5. N. Nagappan
6. Jacek Sliwerski
7. Davor Cubranic
8. Ian H. Witten
9. Yoav Freund
10. Andrian Marcus

Who trusts E. James Jr. Whitehead overall

1. Kim Herzig
2. Sunghun Kim
3. Shane McIntosh
4. Yasutaka Kamei
5. Wei Fu
6. Hongyu Zhang
7. Rongxin Wu
8. Jaechang Nam
9. Andreas Zeller
10. Erik Arisholm

Papers from E. James Jr. Whitehead's perspective

Ordered by how strongly the researchers E. James Jr. Whitehead trusts endorse each paper. Same corpus, a different order for every researcher.

1. Predicting Fault Incidence Using Software Change History (IEEE Trans. Software Eng.)
2. Text Categorization with Support Vector Machines: Learning with Many Relevant Features
3. The Nature of Statistical Learning Theory
4. Empirical validation of object-oriented metrics on open source software for fault prediction (IEEE Transactions on Software Engineering)
5. UCI Repository of machine learning databases
6. Predicting the location and number of faults in large software systems (IEEE Transactions on Software Engineering)
7. Hipikat: recommending pertinent software development artifacts (25th International Conference on Software Engineering, 2003. Proceedings.)
8. Machine learning in automated text categorization
9. When do changes induce fixes? (ACM SIGSOFT Softw. Eng. Notes)
10. Populating a Release History Database from version control and bug tracking systems

Their papers

• Predicting faults from cached history (2008) — 478 citations
• Classifying Software Changes: Clean or Buggy? (2008) — 661 citations
• Automatic Identification of Bug-Introducing Changes (2006) — 372 citations