M. Heričko

Information Systems · 2011–2017

A researcher in the Science corpus: 3 papers; trusts 28 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Information Systems — 57 citations into it
• Software — 31 citations into it
• Information Systems and Management — 29 citations into it; #2,267 of 3,842 by trust here, #2,219 by citations
• Computer Networks and Communications — 20 citations into it
• Sociology and Political Science — 19 citations into it; #13,536 of 22,756 by trust here, #12,387 by citations
• Artificial Intelligence — 17 citations into it
• Education — 14 citations into it
• Communication — 13 citations into it; #2,002 of 3,460 by trust here, #1,817 by citations

Whom M. Heričko trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Cagatay Catal
2. Tim Menzies
3. N. Nagappan
4. Lionel Claude Briand
5. Julian P. T. Higgins
6. William R. King
7. Thomas Zimmermann
8. David Budgen
9. Yuming Zhou
10. Ramanath Subramanyam

Who trusts M. Heričko overall

1. Ronny Scherer
2. Hossein Mohammadi
3. Dimah Al-Fraihat
4. Syed Ali Raza
5. David C. Mohr

Papers from M. Heričko's perspective

Ordered by how strongly the researchers M. Heričko trusts endorse each paper. Same corpus, a different order for every researcher.

1. A comparison of modified reconstructability analysis and Ashenhurst‐Curtis decomposition of Boolean functions
2. Predicting the location and number of faults in large software systems (IEEE Transactions on Software Engineering)
3. Empirical validation of object-oriented metrics on open source software for fault prediction (IEEE Transactions on Software Engineering)
4. Data Mining Static Code Attributes to Learn Defect Predictors (IEEE Transactions on Software Engineering)
5. Predicting Fault Incidence Using Software Change History (IEEE Trans. Software Eng.)
6. Empirical Analysis of CK Metrics for Object-Oriented Design Complexity: Implications for Software Defects (IEEE Trans. Software Eng.)
7. Performing systematic literature reviews in software engineering (International Conference on Software Engineering)
8. A Hierarchical Model for Object-Oriented Design Quality Assessment (IEEE Trans. Software Eng.)
9. Mining metrics to predict component failures (International Conference on Software Engineering)
10. The prediction of faulty classes using object-oriented design metrics (Journal of Systems and Software)

Their papers

• A meta-analysis of e-learning technology acceptance: The role of user types and e-learning technology types (2011) — 607 citations
• EduCTX: A Blockchain-Based Higher Education Credit Platform (2017) — 575 citations
• Software fault prediction metrics: A systematic literature review (2013) — 538 citations