[1] |
Giger, E., D'Ambros, M., Pinzger, M. & Gall, H.C. Method-level bug prediction. In Proceedings of the International Symposium on Empirical Software Engineering and Measurement, pages 171-180, ACM, 2012. [ DOI ] [ Download Preprint ] |
[2] |
Giger, E., Pinzger, M. & Gall, H.C. Can we predict types of code changes? An empirical analysis. In Proceedings of the Working Conference o Mining Software Repositories, pages 217-226, IEEE Computer Society, 2012. [ Download Preprint ] |
[3] |
Hermans, F., Pinzger, M. & Deursen, A.v. Measuring Spreadsheet Formula Understandability. In Proceedings of the European Spreadsheet Risks Interest Group Conference, EuSpRIG, 2012. |
[4] |
Hermans, F., Pinzger, M. & Deursen, A.v. Code Smells in Spreadsheet Formulas. In Proceedings of the International Conference on Software Maintenance, pages to appear, IEEE Computer Society, 2012. [ Download Preprint ] |
[5] |
Hermans, F., Pinzger, M. & Deursen, A.v. Detecting and visualizing inter-worksheet smells in spreadsheets. In Proceedings of the International Conference on Software Engineering, pages 441-451, ACM, IEEE Computer Society, 2012. [ Download Preprint ] |
[6] |
Romano, D., Raila, P., Pinzger, M. & Khomh, F. Analyzing the Impact of Antipatterns on Change-Proneness Using Fine-Grained Source Code Changes. In Proceedings of the Working Conference on Reverse Engineering, pages 437-446, IEEE Computer Society, 2012. [ Download Preprint ] |
[7] |
Romano, D. & Pinzger, M. Analyzing the Evolution of Web Services Using Fine-Grained Changes. In Proceedings of the International Conference on Web Services, pages 392-399, IEEE Computer Society, 2012. [ Download Preprint ] |