Kim Herzig

Information Systems · 2012–2013

A researcher in the Science corpus: 3 papers; trusts 12 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Kim Herzig trusts overall

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

  1. Sunghun Kim
  2. John Anvik
  3. Thomas Zimmermann
  4. Andreas Zeller
  5. Gail C. Murphy
  6. Davor Cubranic
  7. Audris Mockus
  8. E. James Jr. Whitehead
  9. Rahul Premraj
  10. Cathrin Weiss

Who trusts Kim Herzig overall

  1. Ming Tan
  2. Jibesh Patra
  3. Andreas Zeller
  4. Junjie Wang
  5. Lin Tan
  6. Jiawei Liu
  7. Chun Xia
  8. Theofilos Petsios
  9. Yuting Chen
  10. Georgios Gousios

Papers from Kim Herzig's perspective

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

  1. Fair and balanced?: bias in bug-fix datasets (ESEC/SIGSOFT FSE)
  2. When do changes induce fixes? (ACM SIGSOFT Softw. Eng. Notes)
  3. Automatic bug triage using text categorization (International Conference on Software Engineering and Knowledge Engineering)
  4. Reducing the effort of bug report triage: Recommenders for development-oriented decisions (TSEM)
  5. How Long Will It Take to Fix This Bug? (IEEE Working Conference on Mining Software Repositories)
  6. Populating a Release History Database from version control and bug tracking systems
  7. Hipikat: recommending pertinent software development artifacts (25th International Conference on Software Engineering, 2003. Proceedings.)
  8. An approach to detecting duplicate bug reports using natural language and execution information (2008 ACM/IEEE 30th International Conference on Software Engineering)
  9. Classifying Software Changes: Clean or Buggy? (IEEE Transactions on Software Engineering)
  10. Modeling bug report quality (International Conference on Automated Software Engineering)

Their papers