Mike Papadakis
Information Systems · 2015–2026
A researcher in the Science corpus: 4 papers; trusts 20 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Information Systems — 58 citations into it; #5,061 of 8,771 by trust here, #6,501 by citations
- Software — 54 citations into it; #672 of 1,227 by trust here, #674 by citations
- Signal Processing — 34 citations into it
- Computer Networks and Communications — 16 citations into it
Whom Mike Papadakis trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Andreas Zeller
- J. Andrews
- Gordon Fraser
- James A. Jones
- Rui Abreu
- Yue Jia
- Lionel Claude Briand
- Holger Cleve
- Mary Jean Harrold
- Mark Harman
Who trusts Mike Papadakis overall
Papers from Mike Papadakis's perspective
Ordered by how strongly the researchers Mike Papadakis trusts endorse each paper. Same corpus, a different order for every researcher.
- Is mutation an appropriate tool for testing experiments? [software testing] (Proceedings. 27th International Conference on Software Engineering, 2005. ICSE 2005.)
- Visualization of test information to assist fault localization (Proceedings of the 24th International Conference on Software Engineering. ICSE 2002)
- Isolating cause-effect chains from computer programs (SIGSOFT '02/FSE-10)
- Simplifying and Isolating Failure-Inducing Input (IEEE Trans. Software Eng.)
- Empirical evaluation of the tarantula automatic fault-localization technique (International Conference on Automated Software Engineering)
- Supporting Controlled Experimentation with Testing Techniques: An Infrastructure and its Potential Impact (Empirical Software Engineering)
- Automatically finding patches using genetic programming (2009 IEEE 31st International Conference on Software Engineering)
- DART: directed automated random testing (ACM-SIGPLAN Symposium on Programming Language Design and Implementation)
- PScout: analyzing the Android permission specification (Conference on Computer and Communications Security)
- A practical guide for using statistical tests to assess randomized algorithms in software engineering (International Conference on Software Engineering)
Their papers
- Synthetic Semantic Supervision for Contrastive Code Representation Learning in Small Transformers: An Empirical Study (2026)
- Chapter Six - Mutation Testing Advances: An Analysis and Survey (2019) — 515 citations
- Static analysis of android apps: A systematic literature review (2017) — 360 citations
- Metallaxis‐FL: mutation‐based fault localization (2015) — 364 citations