Igor Fabio Steinmacher

Computer Science Applications · 2015–2021

A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Igor Fabio Steinmacher trusts overall

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

  1. David Budgen
  2. Barbara A. Kitchenham
  3. Pearl Brereton
  4. Yunwen Ye
  5. Nicolas Ducheneaut
  6. J. Preece
  7. Elisabeth Joyce
  8. Kouichi Kishida
  9. Georgvon Krogh
  10. Robert E. Kraut

Who trusts Igor Fabio Steinmacher overall

  1. Georgios Gousios
  2. Margaret-Anne D. Storey

Papers from Igor Fabio Steinmacher's perspective

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

  1. Motivation of software developers in Open Source projects: an Internet-based survey of contributors to the Linux kernel
  2. Performing systematic literature reviews in software engineering (International Conference on Software Engineering)
  3. Systematic Mapping Studies in Software Engineering (International Conference on Evaluation & Assessment in Software Engineering)
  4. Why Hackers Do What They Do: Understanding Motivation and Effort in Free/Open Source Software Projects
  5. Understanding the Motivations, Participation, and Performance of Open Source Software Developers: A Longitudinal Study of the Apache Projects (Management Sciences)
  6. Empirical studies of agile software development: A systematic review (Information and Software Technology)
  7. Motivation, Governance, and the Viability of Hybrid Forms in Open Source Software Development (Management Sciences)
  8. Talk to me: foundations for successful individual-group interactions in online communities
  9. Becoming Wikipedian: transformation of participation in a collaborative online encyclopedia
  10. Systematic literature reviews in software engineering - A tertiary study (Information and Software Technology)

Their papers