The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Evaluating defect prediction approaches: a benchmark and an extensive comparison
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Citations
Cites
The use of ranks to avoid the assumption of normality implicit in the analysis of variance
Friedman, M. (1937) · Journal of the American Statistical Association · doi:10.1080/01621459.1937.10503522 · Cited by 7,005
Use of relative code churn measures to predict system defect density
Nagappan, N., & Ball, T. (2005) · Proceedings of the 27th international conference on Software engineering - ICSE '05 · doi:10.1145/1062455.1062514 · Cited by 775
Cited by
A systematic review of machine learning techniques for software fault prediction
Malhotra, R. (2015) · Applied Soft Computing · doi:10.1016/j.asoc.2014.11.023 · Cited by 620
An Empirical Comparison of Model Validation Techniques for Defect Prediction Models
Tantithamthavorn, C., McIntosh, S., Hassan, A. E., & Matsumoto, K. (2017) · IEEE Transactions on Software Engineering · doi:10.1109/tse.2016.2584050 · Cited by 574
Software fault prediction metrics: A systematic literature review
Radjenović, D., Heričko, M., Torkar, R., & Živkovič, A. (2013) · Information and Software Technology · doi:10.1016/j.infsof.2013.02.009 · Cited by 538
Revisiting the Impact of Classification Techniques on the Performance of Defect Prediction Models
Ghotra, B., McIntosh, S., & Hassan, A. E. (2015) · 2015 IEEE/ACM 37th IEEE International Conference on Software Engineering · doi:10.1109/icse.2015.91 · Cited by 364
Automated parameter optimization of classification techniques for defect prediction models
Tantithamthavorn, C., McIntosh, S., Hassan, A. E., & Matsumoto, K. (2016) · Proceedings of the 38th International Conference on Software Engineering · doi:10.1145/2884781.2884857 · Cited by 331
Metadata
- Authors
- D’Ambros, M., Lanza, M., & Robbes, R.
- Venue
- Empirical Software Engineering
- Published
- 2011-08-17
- Volume
- 17
- Issue
- 4-5
- Pages
- 531-577
- ISSN
- 1382-3256 (ISSN-L)
- 1573-7616
- OpenAlex
- W2146338950
- Cited by
- 626
- References
- 2
- FWCI
- 69.36
- Type
- journal article
- Language
- en
- Open access
- closed
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- D’Ambros, M., Lanza, M., & Robbes, R. (2012). Evaluating defect prediction approaches: a benchmark and an extensive comparison. Empirical Software Engineering. https://doi.org/10.1007/s10664-011-9173-9
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
