Herbold, Steffen

Trautsch, Alexander

Trautsch, Fabian

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CORRECT IONCorrection to: On the feasibility of automatedprediction of bug and non-bug issuesSteffen Herbold1 & Alexander Trautsch2 & Fabian Trautsch2# The Author(s) 2020Correction to: Empirical Software Engineeringhttps://doi.org/10.1007/s10664-020-09885-wThe original version of this article unfortunately contained mistakes. Figures 8, 9 and 10 wereincorrectly captured. Somehow, the plots in Figure 8 were replaced with those from Figure 9and the original Figure 8 was lost. The correct versions are as follows.https://doi.org/10.1007/s10664-020-09888-7The online version of the original article can be found at https://doi.org/10.1007/s10664-020-09885-w* Steffen Herboldsteffen.herbold@kit.eduAlexander Trautschalexander.trautsch@cs.uni-goettingen.deFabian Trautschfabian.trautsch@cs.uni-goettingen.de1 Institute AIFB, Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany2 Institute of Computer Science, University of Goettingen, Gottingen, GermanyEmpirical Software Engineering (2020) 25:5370–5373Published online: October 202017Fig. 8 Results of leave-one-project-out cross validation with the CVALL data. The bold-faced approaches wherethe best for a publication and are used in the statistical analysisEmpirical Software Engineering (2020) 25:5370–5373 5371Fig. 9 Results of leave-one-project-out cross validation with the CVBUG data. The bold-faced approaches wherethe best for a publication and are used in the statistical analysis5372 Empirical Software Engineering (2020) 25:5370–5373The original article has been corrected.Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, whichpermits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you giveappropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, andindicate if changes were made. The images or other third party material in this article are included in the article'sCreative Commons licence, unless indicated otherwise in a credit line to the material. If material is not includedin the article's Creative Commons licence and your intended use is not permitted by statutory regulation orexceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copyof this licence, visit http://creativecommons.org/licenses/by/4.0/.Fig. 10 Results for the different classifiers for tittle and description in comparison to their combination to gaininsights into the Herbold2020-FTA modelPublisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps andinstitutional affiliations.Empirical Software Engineering (2020) 25:5370–5373 5373

Correction to: On the feasibility of automated prediction of bug and non-bug issues

https://publikationen.bibliothek.kit.edu/1000126903/94015322

Correction to: On the feasibility of automated prediction of bug and non-bug issues

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