A State of the Art Regressor Model’s comparison for Effort Estimation of Agile software-Reference-Cited by-同舟云学术

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A State of the Art Regressor Model’s comparison for Effort Estimation of Agile software

Published:2021-04-28 Issue: Volume: Page:
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Container-title:2021 2nd International Conference on Intelligent Engineering and Management (ICIEM)
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Author:

Arora Mohit,Sharma Abhishek,Katoch Sapna,Malviya Mehul,Chopra Shivali

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9445209/9445272/09445345.pdf?arnumber=9445345

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. ML-Based Forecasting of Temporal Dynamics in Luminescence Spectra of Ag ₂ S Colloidal Quantum Dots;IEEE Access;2024

2. Correlation of Traditional Technique and ML-Based Technique for Efficient Effort Estimation: In Agile Frameworks;Lecture Notes in Networks and Systems;2024

3. Application of Natural Language Processing Techniques in Agile Software Project Management: A Survey;2023 14th International Conference on Information and Communication Systems (ICICS);2023-11-21

4. AGILE ESTIMATIONS: EMPIRICAL STUDY USING WEIGHTED COMPLEXITY FACTORS;Suranaree Journal of Science and Technology;2023-10-09

5. An Adaptive Simulated Annealing-Based Machine Learning Approach for Developing an E-Triage Tool for Hospital Emergency Operations;Information Systems Frontiers;2023-09-29

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