Bram Adams
Information Systems · 2013–2015
A researcher in the Science corpus: 3 papers; trusts 19 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Information Systems — 43 citations into it; #5,371 of 8,771 by trust here, #5,078 by citations
- Software — 33 citations into it; #737 of 1,227 by trust here, #636 by citations
- Computer Networks and Communications — 15 citations into it
- Computer Science Applications — 14 citations into it; #1,777 of 1,855 by trust here, #1,387 by citations
- Artificial Intelligence — 6 citations into it
Whom Bram Adams trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ahmed E. Hassan
- Audris Mockus
- N. Nagappan
- Sunghun Kim
- John Fox
- Eric R. Ziegel
- Christian Bird
- Yasutaka Kamei
- Hirotugu Akaike
- Claude E. Shannon
Who trusts Bram Adams overall
Papers from Bram Adams's perspective
Ordered by how strongly the researchers Bram Adams trusts endorse each paper. Same corpus, a different order for every researcher.
- Predicting Fault Incidence Using Software Change History (IEEE Trans. Software Eng.)
- Predicting the location and number of faults in large software systems (IEEE Transactions on Software Engineering)
- Predicting risk of software changes (Bell Labs technical journal)
- Two case studies of open source software development: Apache and Mozilla (TSEM)
- When do changes induce fixes? (ACM SIGSOFT Softw. Eng. Notes)
- Empirical validation of object-oriented metrics on open source software for fault prediction (IEEE Transactions on Software Engineering)
- Use of relative code churn measures to predict system defect density (Proceedings. 27th International Conference on Software Engineering, 2005. ICSE 2005.)
- Mining metrics to predict component failures (International Conference on Software Engineering)
- A comparative analysis of the efficiency of change metrics and static code attributes for defect prediction (2008 ACM/IEEE 30th International Conference on Software Engineering)
- Predicting faults using the complexity of code changes (2009 IEEE 31st International Conference on Software Engineering)
Their papers
- An empirical study of the impact of modern code review practices on software quality (2015) — 356 citations
- The impact of code review coverage and code review participation on software quality: a case study of the qt, VTK, and ITK projects (2014) — 342 citations
- A large-scale empirical study of just-in-time quality assurance (2013) — 694 citations