Adaptive fuzzy logic-based framework for software development effort prediction-Reference-Cited by-同舟云学术

Adaptive fuzzy logic-based framework for software development effort prediction

Published:2005-01 Issue:1 Volume:47 Page:31-48
ISSN:0950-5849
Container-title:Information and Software Technology
language:en
Short-container-title:Information and Software Technology

Author:

Ahmed Moataz A.,Omolade Saliu Moshood,AlGhamdi Jarallah

Publisher

Elsevier BV

Subject

Computer Science Applications,Information Systems,Software

Reference42 articles.

1. Software Engineering Economics;Boehm,1981

2. B. Boehm, C. Abts, S. Chulani, Software development cost estimation approaches—a survey, Technical Reports, USC-CSE-2000-505, University of Southern California Center for Software Engineering, 2000.

3. An assessment of metric contribution in the construction of a neural network-based effort estimator;Boetticher,2001

4. Using machine learning to predict project effort: empirical case studies in data-starved domains;Boetticher,2001

5. Resource estimation in software engineering;Briand,2001

Cited by 50 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. Efficient Software Cost Estimation Using Artificial Intelligence;Advances in Systems Analysis, Software Engineering, and High Performance Computing;2024-06-21

2. Enhancing Analogy-based Software Cost Estimation using Gray Wolf Optimization Algorithm;2024-05-22

3. COCOMO II Analysis of Developing Multi-Account Partner Software for Crypto Exchange;2023 15th International Congress on Advanced Applied Informatics Winter (IIAI-AAI-Winter);2023-12-11

4. Improving Analogy-Based Software Cost Estimation Based on Nature-Inspired Algorithms for Feature Weighting: An Empirical Study;2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT);2023-07-06

5. Software Effort Estimation Using Hard Limiting Techniques with Special Reference to Small Size Technical &Analytical Projects;2022 Fourth International Conference on Emerging Research in Electronics, Computer Science and Technology (ICERECT);2022-12-26