# Correction of "A Comparative Study to Benchmark Cross-project Defect Prediction Approaches"

arXiv: https://arxiv.org/abs/1707.09281 · HTML: https://mlsanity.com/paper/1707.09281/

## Key facts

- Cited by 4 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 27 Jul 2017.

## Built on by (most cited first, 4 of 4)

- [RigoBERTa: A State-of-the-Art Language Model For Spanish](https://mlsanity.com/paper/2205.10233/) (2022)
- [The impact of using biased performance metrics on software defect prediction research](https://mlsanity.com/paper/2103.10201/) (2021)
- [Learning from Very Little Data: On the Value of Landscape Analysis for Predicting Software Project Health](https://mlsanity.com/paper/2301.06577/) (2023)
- [A Comparison of Similarity Based Instance Selection Methods for Cross Project Defect Prediction](https://mlsanity.com/paper/2104.01024/) (2021)

## 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.