Industrial applications of software defect prediction using machine learning: A business-driven systematic literature review-Reference-Cited by-同舟云学术

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Industrial applications of software defect prediction using machine learning: A business-driven systematic literature review

Published:2023-07 Issue: Volume:159 Page:107192
ISSN:0950-5849
Container-title:Information and Software Technology
language:en
Short-container-title:Information and Software Technology

Author:

Stradowski Szymon^ORCID,Madeyski Lech^ORCID

Funder

Ministerstwo Edukacji i Nauki

Publisher

Elsevier BV

Subject

Computer Science Applications,Information Systems,Software

Reference97 articles.

1. Software defect prediction using supervised learning algorithm and unsupervised learning algorithm;Dhall;IET Conference Publications,2013

2. The lack of a priori distinctions between learning algorithms;Wolpert;Neural Comput.,1996

3. No free lunch theorems for optimization;Wolpert;IEEE Trans. Evol. Comput.,1997

4. Exploring the challenges in software testing of the 5G system at Nokia: A survey;Stradowski;Inf. Softw. Technol.,2022

5. Machine learning in software defect prediction: A business-driven systematic mapping study;Stradowski;Inf. Softw. Technol.,2023

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A multi-objective effort-aware defect prediction approach based on NSGA-II;Applied Soft Computing;2023-12

2. Bridging the Gap Between Academia and Industry in Machine Learning Software Defect Prediction: Thirteen Considerations;2023 38th IEEE/ACM International Conference on Automated Software Engineering (ASE);2023-09-11

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