Improving software effort estimation using bio-inspired algorithms to select relevant features: An empirical study-Reference-Cited by-同舟云学术

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Improving software effort estimation using bio-inspired algorithms to select relevant features: An empirical study

Published:2021-05 Issue: Volume:205 Page:102621
ISSN:0167-6423
Container-title:Science of Computer Programming
language:en
Short-container-title:Science of Computer Programming

Author:

Ali Asad^ORCID,Gravino Carmine

Publisher

Elsevier BV

Subject

Software

Reference123 articles.

1. Why software fails [software failure];Charette;IEEE Spectr.,2005

2. A replicated survey of IT software project failures;Emam;IEEE Softw.,2008

3. Systematic literature reviews in software engineering–a systematic literature review;Kitchenham;Inf. Softw. Technol.,2009

4. Empirical data modeling in software engineering using radial basis functions;Shin;IEEE Trans. Softw. Eng.,2000

5. Improved estimation of software project effort using multiple additive regression trees;Elish;Expert Syst. Appl.,2009

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3. A Hybrid Model for Improving Software Cost Estimation in Global Software Development;Computers, Materials & Continua;2024

4. An integrated approach for estimating software cost estimation using Adaptive Neuro-Fuzzy Inference System and the Grey Wolf Optimization algorithm;2023 14th International Conference on Information and Knowledge Technology (IKT);2023-12-26

5. Machine Learning for Accurate Software Development Cost Estimation in Economically and Technically Limited Environments;International Journal of Software Science and Computational Intelligence;2023-10-10

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