Toward Applying Agglomerative Hierarchical Clustering in Improving the Software Development Effort Estimation-Reference-Cited by-同舟云学术

Toward Applying Agglomerative Hierarchical Clustering in Improving the Software Development Effort Estimation

Published:2022 Issue: Volume: Page:353-371
ISSN:2367-3370
Container-title:Software Engineering Perspectives in Systems
language:
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Author:

Hai Vo Van,Nhung Ho Le Le Le,Jasek Roman

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-09070-7_30

Reference26 articles.

1. Vera, T., Ochoa, S.F., Perovich, D.: Survey of software development effort estimation taxonomies. Technical Report, Computer Science Department, University of Chile, Chile (2017)

2. Khan, B., Khan, W., Arshad, M., Jan, N.: Software cost estimation: algorithmic and non-algorithmic approaches. Int. J. Data Sci. Adv. Anal. 2, 1–5 (2020)

3. Sharma, P., Singh, J.: Systematic literature review on software effort estimation using machine learning approaches. In: 2017 International Conference on Next Generation Computing and Information Systems (ICNGCIS), pp. 43–47 (2017). https://doi.org/10.1109/ICNGCIS.2017.33

4. International Software Benchmarking Standards Group, ISBSG Repository August 2020 R1. https://www.isbsg.org/

5. Advances in Intelligent Systems and Computing;Z Prokopova,2017

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