Prediction of software fault-prone classes using ensemble random forest with adaptive synthetic sampling algorithm
Author:
Publisher
Springer Science and Business Media LLC
Subject
Software
Link
https://link.springer.com/content/pdf/10.1007/s10515-021-00311-z.pdf
Reference23 articles.
1. Ahmed, M.R., Ali, M.A., Ahmed, N., Zamal, M.F.B., Shamrat, F.J.M.: The impact of software fault prediction in real-world application: An automated approach for software engineering. In Proceedings of 2020 the 6th International Conference on Computing and Data Engineering January 4, Sanya, China, 247–251 (2020) Doi: https://doi.org/10.1145/3379247.3379278
2. Al Qasem, O., Akour, M., Alenezi, M.: The influence of deep learning algorithms factors in software fault prediction. IEEE Access 8, 63945–63960 (2020). https://doi.org/10.1109/ACCESS.2020.2985290
3. Alsghaier, H., Akour, M.: Software fault prediction using particle swarm algorithm with genetic algorithm and support vector machine classifier. Softw. Pract. Exp. 50(4), 407–427 (2020)
4. Bai, S., Li, Y.F., Huang, H.Z., Yu, A., Zeng, Y.: An improved petri net for fault analysis of an electronic system with hybrid fault of software and hardware. Eng. Fail. Anal. 120, 105077 (2021). https://doi.org/10.1016/j.engfailanal.2020.105077
5. Bakka, K.V., Deshpande, A.: Model-based integration and system test automation for visualizing error inclined to an application. Int. J. Eng. Res. 5(5), 404–407 (2016). https://doi.org/10.17950/ijer/v5s5/515
Cited by 35 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. CfExplainer: Explainable just-in-time defect prediction based on counterfactuals;Journal of Systems and Software;2024-12
2. A holistic approach to software fault prediction with dynamic classification;Automated Software Engineering;2024-09-04
3. Optimizing beyond boundaries: empowering the salp swarm algorithm for global optimization and defective software module classification;Neural Computing and Applications;2024-07-31
4. On the relative value of clustering techniques for Unsupervised Effort-Aware Defect Prediction;Expert Systems with Applications;2024-07
5. Handling class overlap and imbalance using overlap driven under-sampling with balanced random forest in software defect prediction;Innovations in Systems and Software Engineering;2024-06-18
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3