Michele Lanza

Information Systems · 2003–2011

A researcher in the Science corpus: 7 papers; trusts 39 researchers and is trusted by 35 researchers here, as inferred from the citation graph.

Subfields

• Information Systems — 51 citations into it; #629 of 8,771 by trust here, #1,895 by citations
• Software — 40 citations into it; #172 of 1,227 by trust here, #366 by citations
• Computer Networks and Communications — 17 citations into it; #1,247 of 9,886 by trust here, #2,687 by citations
• Artificial Intelligence — 15 citations into it; #10,048 of 35,345 by trust here, #19,873 by citations

Whom Michele Lanza trusts overall

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

1. N. Nagappan
2. Thomas Zimmermann
3. Shyam R. Chidamber
4. Stuart Card
5. Serge Demeyer
6. Ahmed E. Hassan
7. Andrian Marcus
8. K. El Emam
9. Thomas Ball
10. Stéphane Ducasse

Who trusts Michele Lanza overall

1. Chakkrit Kla Tantithamthavorn
2. Rainer Koschke
3. Stéphane Ducasse
4. Fabio Palomba
5. Shane McIntosh
6. Ahmed E. Hassan
7. Xin Xia
8. Foutse Khomh
9. Massimiliano Di Penta
10. Guido Wachsmuth

Papers from Michele Lanza's perspective

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

1. Predicting Fault Incidence Using Software Change History (IEEE Trans. Software Eng.)
2. Predicting the location and number of faults in large software systems (IEEE Transactions on Software Engineering)
3. Data Mining Static Code Attributes to Learn Defect Predictors (IEEE Transactions on Software Engineering)
4. Empirical validation of object-oriented metrics on open source software for fault prediction (IEEE Transactions on Software Engineering)
5. Mining metrics to predict component failures (International Conference on Software Engineering)
6. Empirical Analysis of CK Metrics for Object-Oriented Design Complexity: Implications for Software Defects (IEEE Trans. Software Eng.)
7. Fair and balanced?: bias in bug-fix datasets (ESEC/SIGSOFT FSE)
8. The prediction of faulty classes using object-oriented design metrics (Journal of Systems and Software)
9. Use of relative code churn measures to predict system defect density (Proceedings. 27th International Conference on Software Engineering, 2005. ICSE 2005.)
10. Populating a Release History Database from version control and bug tracking systems

Their papers

• How Program History Can Improve Code Completion (2008) — 166 citations
• Evaluating defect prediction approaches: a benchmark and an extensive comparison (2011) — 608 citations
• An extensive comparison of bug prediction approaches (2010) — 640 citations
• Visualizing Software Systems as Cities (2007) — 305 citations
• Object-Oriented Metrics in Practice - Using Software Metrics to Characterize, Evaluate, and Improve the Design of Object-Oriented Systems (2006) — 439 citations
• Object-Oriented Metrics in Practice (2005) — 560 citations
• Polymetric Views - A Lightweight Visual Approach to Reverse Engineering (2003) — 445 citations