Название: Intelligent Technologies: Concepts, Applications, and Future Directions, Volume 4
Автор: Himansu Das, Chittaranjan Pradhan, Surbhi Bhatia Khan, Kuan Ching Li
Издательство: Springer
Серия: Studies in Computational Intelligence
Год: 2025
Страниц: 374
Язык: английский
Формат: pdf (true), epub
Размер: 71.5 MB
This book discusses automated computing systems which are mostly powered by intelligent technologies like artificial intelligence, machine learning, image recognition, speech processing, cloud computing, etc., to perform complex automated tasks which are not possible by traditional computing systems. Software Development Effort (SDE) estimation is essential for controlling software development projects’ cost, time, and quality. Therefore, accurate software project estimates are crucial to project success. COCOMO, FPA, and other models estimate inaccurately. Researchers have turned to innovative algorithms in SDE to overcome the constraints of conventional models. Overestimating or underestimating an effort can affect the project plan’s business, user, system, functional, and non-functional needs for resource allocation. Size, Lines of Code, Functional Point Analysis, and other project factors can significantly affect SDE for software work estimation. To increase accuracy, only a few effort estimation elements are used for SDE metric calculation. Recent advances in SDE Machine Learning (ML) and Evolution Algorithms were shown.