Amy J. Ko
Information Systems · 2004–2019
A researcher in the Science corpus: 8 papers; trusts 19 researchers and is trusted by 15 researchers here, as inferred from the citation graph.
Subfields
- Information Systems — 41 citations into it; #1,818 of 8,771 by trust here, #1,489 by citations
- Computer Science Applications — 18 citations into it; #344 of 1,855 by trust here, #297 by citations
- Artificial Intelligence — 14 citations into it
- Human-Computer Interaction — 13 citations into it
- Information Systems and Management — 11 citations into it
- Software — 7 citations into it; #290 of 1,227 by trust here, #171 by citations
Whom Amy J. Ko trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Per Runeson
- Gail C. Murphy
- Claes Wohlin
- Gloria Mark
- Natalia Juristo Juzgado
- Jonathan Sillito
- Martin Höst
- Davor Cubranic
- Martin P. Robillard
- Janice Singer
Who trusts Amy J. Ko overall
- Jonathan Sillito
- Sumit Gulwani
- Jeffrey Wong
- Xin Xia
- Ashraf Abdul
- Mohammad Tahaei
- Gail C. Murphy
- Caitlin Sadowski
- Gustavo Sandoval
- Martin P. Robillard
Papers from Amy J. Ko's perspective
Ordered by how strongly the researchers Amy J. Ko trusts endorse each paper. Same corpus, a different order for every researcher.
- A systematic review of statistical power in software engineering experiments (Information and Software Technology)
- Five Misunderstandings About Case-Study Research
- Basics of Software Engineering Experimentation (Springer US)
- A systematic review of effect size in software engineering experiments (Information and Software Technology)
- An examination of software engineering work practices (Conference of the Centre for Advanced Studies on Collaborative Research)
- Selecting Empirical Methods for Software Engineering Research (Guide to Advanced Empirical Software Engineering)
- "Constant, constant, multi-tasking craziness": managing multiple working spheres (International Conference on Human Factors in Computing Systems)
- Experimentation in software engineering: an introduction
- Guidelines for conducting and reporting case study research in software engineering (Empirical Software Engineering)
- Guide to Advanced Empirical Software Engineering
Their papers
- What distinguishes great software engineers? (2019) — 48 citations
- A practical guide to controlled experiments of software engineering tools with human participants (2013) — 294 citations
- Why-oriented end-user debugging of naive Bayes text classification (2011) — 99 citations
- Information Needs in Collocated Software Development Teams (2007) — 562 citations
- Let's go to the whiteboard: how and why software developers use drawings (2007) — 302 citations
- An Exploratory Study of How Developers Seek, Relate, and Collect Relevant Information during Software Maintenance Tasks (2006) — 690 citations
- Designing the whyline: a debugging interface for asking questions about program behavior (2004) — 444 citations
- Six Learning Barriers in End-User Programming Systems (2004) — 557 citations