Applying Soft Computing Techniques for Software Project Effort Estimation Modelling-Reference-Cited by-同舟云学术

Applying Soft Computing Techniques for Software Project Effort Estimation Modelling

Published:2020-11-18 Issue: Volume: Page:211-227
ISSN:1876-1100
Container-title:Nanoelectronics, Circuits and Communication Systems
language:
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Author:

Sharma Sudhir,Vijayvargiya Shripal

Publisher

Springer Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-15-7486-3_21

Reference27 articles.

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2. Yadav CS, Singh R (2014) Tuning of Cocomo II model parameters for estimating software development effort using GA for promise project data set. Int J Comput Appl 90(1):37–43

3. Subramanian GH, Pendharkar PC, Wallace M (2006) An empirical study of the effect of complexity, platform, and program type on software development effort of business applications. Emp Softw Eng 11:541–553

4. Chiu NH, Huang SJ (2007) The adjusted analogy-based software effort estimation based on similarity distances. J Softw 80:628–640

5. Goyal S, Parashar S (2018) Machine learning application to improve COCOMO model using neural networks. IJITCS 3:35–51

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