Role of Soft Computing Techniques in Software Effort Estimation: An Analytical Study
Author:
Publisher
Springer Singapore
Link
http://link.springer.com/content/pdf/10.1007/978-981-13-9042-5_70
Reference105 articles.
1. NoelGarcia-Diaz, C.-M.A.: (2013) A comparative study of two fuzzy logic models for software development effort estimation. In: 3rd Iberoamerican Conference on Electronics Engineering and Computer Science, vol. 7, pp. 305–314 (2013). https://doi.org/10.1016/j.protcy.2013.04.038
2. Minku, L.L., Yao, X.: Ensembles and locality: Insight on improving software effort estimation. Inf. Softw. Technol. 55, 1512–1528 (2013). https://doi.org/10.1016/j.infsof.2012.09.012
3. Charette, N.: Robert, Why software fails. Spectr. IEEE 42, 42–49 (2005). https://doi.org/10.1109/MSPEC.2005.1502528
4. Boehm, B.W.: Software engineering economics. IEEE Trans. Softw. Eng. SE-10(1), 4–21 (1984). https://doi.org/10.1109/tse.1984.5010193
5. Putnam, L.H.: A general empirical solution to the macro software sizing and estimating problem. IEEE Trans. Softw. Eng. SE-4(4), 345–361 (1978). https://doi.org/10.1109/tse.1978.23152
Cited by 10 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. Feedforward neural network-based augmented salp swarm optimizer for accurate software development cost forecasting;Applied Soft Computing;2023-12
2. Improving Analogy-Based Software Cost Estimation Based on Nature-Inspired Algorithms for Feature Weighting: An Empirical Study;2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT);2023-07-06
3. Software effort estimation modeling and fully connected artificial neural network optimization using soft computing techniques;Cluster Computing;2023-02-12
4. Influence of input values on the prediction model error using artificial neural network based on Taguchi's orthogonal array;Concurrency and Computation: Practice and Experience;2022-01-27
5. A Taxonomy of Approaches and Methods for Software Effort Estimation;Innovations in Computer Science and Engineering;2022
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