Prediction of faults-slip-through in large software projects: an empirical evaluation

Author:

Afzal Wasif,Torkar Richard,Feldt Robert,Gorschek Tony

Publisher

Springer Science and Business Media LLC

Subject

Safety, Risk, Reliability and Quality,Software

Reference61 articles.

1. Afzal, W. (2009). Search-based approaches to software fault prediction and software testing. Blekinge Institute of Technology Licentiate Series No. 2009:06, Ronneby, Sweden.

2. Afzal, W. (2010). Using faults-slip-through metric as a predictor of fault-proneness: Proceedings of the 21st Asia Pacific Software Engineering Conference (APSEC’10), IEEE.

3. Afzal, W., & Torkar, R. (2008). A comparative evaluation of using genetic programming for predicting fault count data: Proceedings of the 3rd International Conference on Software Engineering Advances (ICSEA’08), IEEE.

4. Afzal, W., Torkar, R., Feldt, R., & Wikstrand, G. (2010). Search-based prediction of fault-slip-through in large software projects: Proceedings of the 2nd International Symposium on Search-Based Software Engineering (SSBSE’10), IEEE Computer Society. pp. 79–88.

5. Aha, D. W., Kibler, D., & Albert, M. K. (1991). Instance-based learning algorithms. Machine Learning, 6, 37–66.

Cited by 5 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. Search-Based Prediction of Software Functional Fault Slip-Through;2023 2nd International Conference on Multidisciplinary Engineering and Applied Science (ICMEAS);2023-11-01

2. Can we Knapsack Software Defect Prediction? Nokia 5G Case;2023 IEEE/ACM 45th International Conference on Software Engineering: Companion Proceedings (ICSE-Companion);2023-05

3. MEG: Multi-objective Ensemble Generation for Software Defect Prediction;ACM / IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM);2022-09-19

4. Mutation-aware fault prediction;Proceedings of the 25th International Symposium on Software Testing and Analysis;2016-07-18

5. Search-Based Software Project Management;Software Project Management in a Changing World;2014

同舟云学术

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