Neural network based models for software effort estimation: a review

Author:

Dave Vachik S.,Dutta Kamlesh

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Linguistics and Language,Language and Linguistics

Reference44 articles.

1. Ajitha S, Kumar TVS, Geetha DE, Kanth KR (2010) Neural network model for software size estimation using use case point approach. In: IEEE 5th international conference on industrial and information systems ICIIS 2010, pp 372–376

2. Atsalakis GS, Valavanis KP (2009) Surveying stock market forecasting techniques—part II: Soft Computing methods. Expert Syst Appl 36(3): 5932–5941

3. Attarzadeh I, Ow SH (2010) Proposing a new software cost estimation model based on artificial neural networks. In: 2nd international conference on computer engineering and technology (ICCET), V3-487–v3-491

4. Bailey JW, Basili VR (1981) A meta model for software development resource expenditure. In: Proceedings of the international conference on software engineering. pp 107–115

5. Bailey JW, Basili VR (1983) A meta-model for software development and resource expenditures. In: Proceedings of the 5th international conference on software engineering, New York, Institute of Electrical and Electronic Engineers

Cited by 84 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. Modeling of Triphenyl Phosphate Surfactant Enhanced Drying of Polystyrene/p-Xylene Coatings Using Artificial Neural Network;Processes;2024-01-25

2. Prediction of the optimal hybrid train trajectory by using artificial neural network models;IET Intelligent Transport Systems;2024-01-02

3. A memetic approach for optimizing software effort estimation using anti-predatory NIA;International Journal of Information Technology;2023-12-26

4. Estimation Approaches of Machine Learning in Scrum Projects;International Conference on Innovative Computing and Communications;2023-10-26

5. Neural Networks to Predict Software Development/Maintenance Performance and Required Time;2023 International Conference on Software, Telecommunications and Computer Networks (SoftCOM);2023-09-21

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