Cross-Project Defect Prediction for Ansible Projects 


Vol. 51,  No. 3, pp. 229-235, Mar.  2024
10.5626/JOK.2024.51.3.229


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  Abstract

Infrastructure-as-Code (IaC) refers to the activities of automating overall management through code, such as creating and deploying infrastructure. Infrastructure-as-Code is used by many companies due to its efficiency, and many within-project defect prediction techniques have been proposed targeting Ansible, one of the IaC tools. Recently, a study on the applicability of Ansible"s cross-project defect prediction has been proposed. Therefore, Ansible’s cross-project defect prediction technique was used in this study, and its effectiveness was analyzed. Experimental results showed that the performance of the F1-based cross-project defect prediction was measured to be 0.3 to 0.5, and that it could be used as an alternative to the internal project defect prediction technique. It is therefore anticipated that this will be put to use in support of Ansible’s software quality assurance activities.


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  Cite this article

[IEEE Style]

S. Lee, S. Kwon, D. Ryu, J. Baik, "Cross-Project Defect Prediction for Ansible Projects," Journal of KIISE, JOK, vol. 51, no. 3, pp. 229-235, 2024. DOI: 10.5626/JOK.2024.51.3.229.


[ACM Style]

Sungu Lee, Sunjae Kwon, Duksan Ryu, and Jongmoon Baik. 2024. Cross-Project Defect Prediction for Ansible Projects. Journal of KIISE, JOK, 51, 3, (2024), 229-235. DOI: 10.5626/JOK.2024.51.3.229.


[KCI Style]

이선구, 권순재, 류덕산, 백종문, "Ansible 프로젝트를 위한 교차 프로젝트 결함 예측," 한국정보과학회 논문지, 제51권, 제3호, 229~235쪽, 2024. DOI: 10.5626/JOK.2024.51.3.229.


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