Optimization of COCOMO-II Model Parameters Using Hybrid Algorithm of Cuckoo Search Algorithm and GA-Reference-Cited by-同舟云学术

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Optimization of COCOMO-II Model Parameters Using Hybrid Algorithm of Cuckoo Search Algorithm and GA

Published:2023-12-27 Issue: Volume:61 Page:1-6
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Container-title:2023 2nd International Engineering Conference on Electrical, Energy, and Artificial Intelligence (EICEEAI)
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Author:

Abu-srhan Alaa¹,Qasem Mais Haj²,Aljaidi Mohammad²,Samara Ghassan²,Alazaidah Raed³,Alsarhan Ayoub⁴

Affiliation:

1. The Hashemite University,Faculty of Science,Department of Basic Science,Zarqa,Jordan,13116

2. Zarqa University,Faculty of Information Technology,Department of Computer Science,Zarqa,Jordan,13110

3. Zarqa University,Faculty of Information Technology,Department of Artificial Intelligence,Zarqa,Jordan,13110

4. The Hashemite University,Faculty of Prince Al-Hussein Bin Abdallah II for Information Technology,Department of Information Technology,Zarqa,Jordan,13116

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10590066/10590003/10590263.pdf?arnumber=10590263

Reference13 articles.

1. The Mythical Man-Month

2. Estimation of the COCOMO Model Parameters Using Genetic Algorithms for NASA Software Projects

3. COCOMO II model definition manual;Boehm;The University of Southern California,1997

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