Correction of "A Comparative Study to Benchmark Cross-project Defect Prediction Approaches"
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Abstract (arXiv)
Unfortunately, the article "A Comparative Study to Benchmark Cross-project Defect Prediction Approaches" has a problem in the statistical analysis which was pointed out almost immediately after the pre-print of the article appeared online. While the problem does not negate the contribution of the the article and all key findings remain the same, it does alter some rankings of approaches used in the study. Within this correction, we will explain the problem, how we resolved it, and present the updated results.
Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). First posted on arXiv 27 Jul 2017.
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Citing papers per year: 2021: 2; 2022: 1; 2023: 1.
4 papers.
- 2022RigoBERTa: A State-of-the-Art Language Model For Spanishcited by 5
- 2021The impact of using biased performance metrics on software defect prediction researchcited by 4
- 2023Learning from Very Little Data: On the Value of Landscape Analysis for Predicting Software Project Healthcited by 3
- 2021A Comparison of Similarity Based Instance Selection Methods for Cross Project Defect Predictioncited by 0
- 2023Learning from Very Little Data: On the Value of Landscape Analysis for Predicting Software Project Health16 Jan 2023
- 2022RigoBERTa: A State-of-the-Art Language Model For Spanish27 Apr 2022
- 2021A Comparison of Similarity Based Instance Selection Methods for Cross Project Defect Prediction2 Apr 2021
- 2021The impact of using biased performance metrics on software defect prediction research18 Mar 2021