David Bowes
Information Systems · 2012–2014
A researcher in the Science corpus: 2 papers; trusts 11 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Information Systems — 61 citations into it; #3,201 of 8,771 by trust here, #4,341 by citations
- Software — 45 citations into it; #449 of 1,227 by trust here, #534 by citations
- Computer Networks and Communications — 22 citations into it
Whom David Bowes trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Julian J. Faraway
- Kai Petersen
- Cagatay Catal
- Timothy R. Levine
- Martin J. Shepperd
- Tim Menzies
- C. Pierce
- Tracy Hall
Who trusts David Bowes overall
- Chakkrit Kla Tantithamthavorn
- Shane McIntosh
- Ahmed E. Hassan
- Martin J. Shepperd
- Ming Tan
- Baljinder Ghotra
Papers from David Bowes's perspective
Ordered by how strongly the researchers David Bowes trusts endorse each paper. Same corpus, a different order for every researcher.
- Data Mining Static Code Attributes to Learn Defect Predictors (IEEE Transactions on Software Engineering)
- A Systematic Review of Software Development Cost Estimation Studies (IEEE Transactions on Software Engineering)
- Eta Squared, Partial Eta Squared, and Misreporting of Effect Size in Communication Research
- Fair and balanced?: bias in bug-fix datasets (ESEC/SIGSOFT FSE)
- On the relative value of cross-company and within-company data for defect prediction (Empirical Software Engineering)
- An introduction to ROC analysis
- Context in industrial software engineering research (International Symposium on Empirical Software Engineering and Measurement)
- Applied Statistics: From Bivariate through Multivariate Techniques [with CD-ROM].
- A Systematic Literature Review on Fault Prediction Performance in Software Engineering (IEEE Transactions on Software Engineering)
- Nonparametric statistics for the behavioral sciences
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