Emad Shihab
Information Systems · 2013–2015
A researcher in the Science corpus: 4 papers; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Information Systems — 34 citations into it
- Software — 21 citations into it
- Computer Networks and Communications — 10 citations into it
- Computer Science Applications — 9 citations into it
- Artificial Intelligence — 6 citations into it
Whom Emad Shihab trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Audris Mockus
- N. Nagappan
- Ahmed E. Hassan
- Colin L. Mallows
- Hanna M. Wallach
- Christoph Treude
- Lin Tan
- Lena Mamykina
- Sunghun Kim
- Annibale Panichella
Who trusts Emad Shihab overall
Papers from Emad Shihab's perspective
Ordered by how strongly the researchers Emad Shihab trusts endorse each paper. Same corpus, a different order for every researcher.
- Predicting the location and number of faults in large software systems (IEEE Transactions on Software Engineering)
- Predicting Fault Incidence Using Software Change History (IEEE Trans. Software Eng.)
- 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)
- Predicting risk of software changes (Bell Labs technical journal)
- Use of relative code churn measures to predict system defect density (Proceedings. 27th International Conference on Software Engineering, 2005. ICSE 2005.)
- 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)
- Classifying Software Changes: Clean or Buggy? (IEEE Transactions on Software Engineering)
- A comparison of modified reconstructability analysis and Ashenhurst‐Curtis decomposition of Boolean functions
Their papers
- What Do Mobile App Users Complain About? (2015) — 430 citations
- What are mobile developers asking about? A large scale study using stack overflow (2015) — 321 citations
- An Exploratory Study on Self-Admitted Technical Debt (2014) — 300 citations
- A large-scale empirical study of just-in-time quality assurance (2013) — 694 citations