Tracy Hall

Information Systems · 2008–2014

A researcher in the Science corpus: 3 papers; trusts 11 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Information Systems — 62 citations into it; #2,907 of 8,771 by trust here, #3,012 by citations
• Software — 45 citations into it; #448 of 1,227 by trust here, #534 by citations
• Computer Networks and Communications — 22 citations into it
• Computer Science Applications — 6 citations into it; #1,612 of 1,855 by trust here, #1,224 by citations

Whom Tracy Hall trusts overall

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

1. Tim Menzies
2. Magne Jørgensen
3. Martin J. Shepperd
4. Burak Turhan
5. Julian J. Faraway
6. Thomas Zimmermann
7. N. Nagappan
8. Kai Petersen
9. Cagatay Catal
10. Chih-Wei Hsu

Who trusts Tracy Hall overall

1. Chakkrit Kla Tantithamthavorn
2. Martin J. Shepperd
3. Shane McIntosh
4. Ahmed E. Hassan
5. Baljinder Ghotra
6. Danijel Radjenovic
7. Ken-ichi Matsumoto
8. Costas Boletsis
9. David Bowes
10. M. Heričko

Papers from Tracy Hall's perspective

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

1. Data Mining Static Code Attributes to Learn Defect Predictors (IEEE Transactions on Software Engineering)
2. On the relative value of cross-company and within-company data for defect prediction (Empirical Software Engineering)
3. Fair and balanced?: bias in bug-fix datasets (ESEC/SIGSOFT FSE)
4. A Systematic Review of Software Development Cost Estimation Studies (IEEE Transactions on Software Engineering)
5. Eta Squared, Partial Eta Squared, and Misreporting of Effect Size in Communication Research
6. An introduction to ROC analysis
7. Facts and fallacies of software engineering
8. Context in industrial software engineering research (International Symposium on Empirical Software Engineering and Measurement)
9. A Systematic Literature Review on Fault Prediction Performance in Software Engineering (IEEE Transactions on Software Engineering)
10. Cross-project defect prediction: a large scale experiment on data vs. domain vs. process (ESEC/SIGSOFT FSE)

Their papers

• Researcher Bias: The Use of Machine Learning in Software Defect Prediction (2014) — 375 citations
• A Systematic Literature Review on Fault Prediction Performance in Software Engineering (2012) — 1,099 citations
• Motivation in Software Engineering: A systematic literature review (2008) — 573 citations