Fabio Palomba
Information Systems · 2017–2020
A researcher in the Science corpus: 3 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Information Systems — 31 citations into it
- Software — 22 citations into it
- Artificial Intelligence — 8 citations into it
Whom Fabio Palomba trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Radu Marinescu
- Mauricio A. Saca
- P. Lachenbruch
- Michele Lanza
- Nikolaos Tsantalis
- Naouel Moha
- Foutse Khomh
- David W. Hosmer Jr.
- Yann-Gaël Guéhéneuc
- Jacek Sliwerski
Papers from Fabio Palomba's perspective
Ordered by how strongly the researchers Fabio Palomba trusts endorse each paper. Same corpus, a different order for every researcher.
- Detection strategies: metrics-based rules for detecting design flaws (20th IEEE International Conference on Software Maintenance, 2004. Proceedings.)
- When do changes induce fixes? (ACM SIGSOFT Softw. Eng. Notes)
- An Exploratory Study of the Impact of Code Smells on Software Change-proneness (Working Conference on Reverse Engineering)
- Predicting the location and number of faults in large software systems (IEEE Transactions on Software Engineering)
- Identification of Move Method Refactoring Opportunities (IEEE Transactions on Software Engineering)
- Refactoring improving the design of existing code (2017 IEEE 37th Central America and Panama Convention (CONCAPAN XXXVII))
- Object-Oriented Metrics in Practice - Using Software Metrics to Characterize, Evaluate, and Improve the Design of Object-Oriented Systems
- Technical Debt: From Metaphor to Theory and Practice (IEEE Software)
- DECOR: A Method for the Specification and Detection of Code and Design Smells (IEEE Transactions on Software Engineering)
- A Simple Sequentially Rejective Multiple Test Procedure
Their papers
- UI Dark Patterns and Where to Find Them: A Study on Mobile Applications and User Perception (2020) — 298 citations
- When and Why Your Code Starts to Smell Bad (and Whether the Smells Go Away) (2017) — 473 citations
- On the diffuseness and the impact on maintainability of code smells: a large scale empirical investigation (2017) — 338 citations