An Evaluation of Parameter Pruning Approaches for Software Estimation-Reference-Cited by-同舟云学术

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An Evaluation of Parameter Pruning Approaches for Software Estimation

Published:2019-09-18 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the Fifteenth International Conference on Predictive Models and Data Analytics in Software Engineering
language:
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Author:

Tran Thu¹,Nguyen Vu²,Truong Thong²,Tran Chi²,Le Phu³

Affiliation:

1. University of Information Technology, Vietnam National University - HCMC, Ho Chi Minh city, Vietnam

2. University of Science, Vietnam National University - HCMC, Ho Chi Minh city, Vietnam

3. Software Engineering Department, Leaf Brilliant (LBR), Ho Chi Minh city, Vietnam

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3345629.3345633

Reference36 articles.

1. Improving analogy software effort estimation using fuzzy feature subset selection algorithm

2. A comparative study for estimating software development effort intervals

3. LMES: A localized multi-estimator model to estimate software development effort

4. A GA-based feature selection and parameters optimization for support vector regression applied to software effort estimation

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1. Reprogramming microorganisms for the biosynthesis of astaxanthin via metabolic engineering;Progress in Lipid Research;2021-01

2. A QoE-Aware Mode Selection Framework for Video Streaming in D2D Networks;IEEE Access;2020

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