Martin Pinzger
Information Systems · 2003–2014
A researcher in the Science corpus: 3 papers; trusts 14 researchers and is trusted by 25 researchers here, as inferred from the citation graph.
Subfields
- Information Systems — 20 citations into it; #1,212 of 8,771 by trust here, #2,101 by citations
- Computer Science Applications — 8 citations into it; #193 of 1,855 by trust here, #524 by citations
- Computer Networks and Communications — 7 citations into it
- Software — 7 citations into it
- Artificial Intelligence — 6 citations into it; #12,564 of 35,345 by trust here, #18,586 by citations
Whom Martin Pinzger trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Georgios Gousios
- N. Nagappan
- John Anvik
- N. Ivankova
- Trevor J. Hastie
- Laura A. Dabbish
- Stefan Lessmann
- Christian Bird
- Eirini Kalliamvakou
- Zhenchang Xing
Who trusts Martin Pinzger overall
- Georgios Gousios
- Ahmed E. Hassan
- Sunghun Kim
- Eirini Kalliamvakou
- Zhenchang Xing
- Marco D'Ambros
- Xiaodong Gu
- Pablo Loyola
- Jacek Sliwerski
- Thomas Zimmermann
Papers from Martin Pinzger's perspective
Ordered by how strongly the researchers Martin Pinzger trusts endorse each paper. Same corpus, a different order for every researcher.
- Two case studies of open source software development: Apache and Mozilla (TSEM)
- Mining version histories to guide software changes
- Social coding in GitHub: transparency and collaboration in an open software repository
- Hipikat: a project memory for software development (IEEE Transactions on Software Engineering)
- Identification of coordination requirements: implications for the Design of collaboration and awareness tools (Conference on Computer Supported Cooperative Work)
- Use of relative code churn measures to predict system defect density (Proceedings. 27th International Conference on Software Engineering, 2005. ICSE 2005.)
- Using Mixed-Methods Sequential Explanatory Design: From Theory to Practice
- Random Forests
- GHTorrent: Github's data from a firehose (IEEE Working Conference on Mining Software Repositories)
- Mining version histories to guide software changes (Proceedings. 26th International Conference on Software Engineering)
Their papers
- An exploratory study of the pull-based software development model (2014) — 653 citations
- Change Distilling:Tree Differencing for Fine-Grained Source Code Change Extraction (2007) — 665 citations
- Populating a Release History Database from version control and bug tracking systems (2003) — 593 citations