Rahul Premraj

Information Systems · 2007–2008

A researcher in the Science corpus: 4 papers; trusts 8 researchers and is trusted by 30 researchers here, as inferred from the citation graph.

Subfields

• Information Systems — 27 citations into it; #934 of 8,771 by trust here, #1,707 by citations
• Software — 17 citations into it; #117 of 1,227 by trust here, #202 by citations
• Artificial Intelligence — 5 citations into it
• Computer Networks and Communications — 5 citations into it

Whom Rahul Premraj trusts overall

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

1. Larry A. Wasserman
2. Davor Cubranic
3. Gail C. Murphy
4. Thomas Zimmermann
5. John Anvik
6. Leon Moonen
7. Andreas Zeller
8. Barbara A. Kitchenham
9. Jacek Sliwerski
10. Cathrin Weiss

Who trusts Rahul Premraj overall

1. Kim Herzig
2. Chakkrit Kla Tantithamthavorn
3. Sunghun Kim
4. Nicolas Bettenburg
5. Gaeul Jeong
6. Thomas Zimmermann
7. Shane McIntosh
8. Marco D'Ambros
9. Tim Menzies
10. Pieter Hooimeijer

Papers from Rahul Premraj's perspective

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

1. Tackling the Poor Assumptions of Naive Bayes Text Classifiers (International Conference on Machine Learning)
2. What accuracy statistics really measure (IEE Proceedings - Software)
3. Predicting Fault Incidence Using Software Change History (IEEE Trans. Software Eng.)
4. Automatic bug triage using text categorization (International Conference on Software Engineering and Knowledge Engineering)
5. Fair and balanced?: bias in bug-fix datasets (ESEC/SIGSOFT FSE)
6. How Long Will It Take to Fix This Bug? (IEEE Working Conference on Mining Software Repositories)
7. Hipikat: recommending pertinent software development artifacts (25th International Conference on Software Engineering, 2003. Proceedings.)
8. Generating robust parsers using island grammars (Proceedings Eighth Working Conference on Reverse Engineering)
9. Reducing the effort of bug report triage: Recommenders for development-oriented decisions (TSEM)
10. A Simulation Study of the Model Evaluation Criterion MMRE (IEEE Trans. Software Eng.)

Their papers

• What Makes a Good Bug Report? (2008) — 936 citations
• Duplicate bug reports considered harmful … really? (2008) — 296 citations
• Predicting Defects for Eclipse (2007) — 796 citations
• How Long Will It Take to Fix This Bug? (2007) — 410 citations