Martin J. Shepperd

Information Systems · 2000–2014

A researcher in the Science corpus: 9 papers; trusts 29 researchers and is trusted by 37 researchers here, as inferred from the citation graph.

Subfields

• Information Systems — 42 citations into it; #518 of 8,771 by trust here, #1,086 by citations
• Software — 29 citations into it; #66 of 1,227 by trust here, #119 by citations
• Artificial Intelligence — 12 citations into it; #17,065 of 35,345 by trust here, #21,878 by citations
• Statistics and Probability — 12 citations into it; #9,309 of 12,932 by trust here, #9,233 by citations
• Computer Networks and Communications — 9 citations into it
• Evaluation & Benchmarks — 5 citations into it

Whom Martin J. Shepperd trusts overall

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

1. Tom Fawcett
2. Julian J. Faraway
3. Cagatay Catal
4. Tracy Hall
5. David D. Lewis
6. Magne Jørgensen
7. Tim Menzies
8. Kai Petersen
9. Timothy R. Levine
10. Barbara A. Kitchenham

Who trusts Martin J. Shepperd overall

1. Chakkrit Kla Tantithamthavorn
2. Shane McIntosh
3. Ahmed E. Hassan
4. Ahmet Okutan
5. Karim O. Elish
6. Ken-ichi Matsumoto
7. Ingunn Myrtveit
8. Baljinder Ghotra
9. Michele Tufano
10. Jianfeng Wen

Papers from Martin J. Shepperd's perspective

Ordered by how strongly the researchers Martin J. Shepperd 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. A Systematic Review of Software Development Cost Estimation Studies (IEEE Transactions on Software Engineering)
3. An introduction to ROC analysis
4. Developing Interpretable Models with Optimized Set Reduction for Identifying High-Risk Software Components
5. Eta Squared, Partial Eta Squared, and Misreporting of Effect Size in Communication Research
6. Systematic literature reviews in software engineering - A systematic literature review (Information and Software Technology)
7. Robust prediction of fault-proneness by random forests (IEEE International Symposium on Software Reliability Engineering)
8. Benchmarking Attribute Selection Techniques for Discrete Class Data Mining (IEEE Transactions on Knowledge and Data Engineering)
9. Cross versus Within-Company Cost Estimation Studies: A Systematic Review (IEEE Transactions on Software Engineering)
10. Experimentation in software engineering: an introduction

Their papers

• What accuracy statistics really measure (2001) — 459 citations
• Researcher Bias: The Use of Machine Learning in Software Defect Prediction (2014) — 375 citations
• Data Quality: Some Comments on the NASA Software Defect Datasets (2013) — 538 citations
• Evaluating prediction systems in software project estimation (2012) — 409 citations
• A General Software Defect-Proneness Prediction Framework (2011) — 381 citations
• A Systematic Review of Software Development Cost Estimation Studies (2007) — 1,082 citations
• Reliability and validity in comparative studies of software prediction models (2005) — 299 citations
• Comparing Software Prediction Techniques Using Simulation (2001) — 305 citations
• An Empirical Investigation of an Object-Oriented Software System (2000) — 298 citations