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Comparative study for software effort estimation by soft computing models
Author
Source
Journal of College of Education for Pure Sciences
Issue
Vol. 11, Issue 2 (30 Nov. 2021), pp.108-120, 13 p.
Publisher
University of Thi-Qar College of Education for Pure Sciences
Publication Date
2021-11-30
Country of Publication
Iraq
No. of Pages
13
Main Subjects
Information Technology and Computer Science
Abstract EN
Accurate estimation of software development effort has become a crucial for effective projects planning.
It is a very challenging task for project teams to predict the development effort required in the initial phases of a software project.
Software estimation prior to development process can decrease the risk and enhance the project's success rate.
Although numerous traditional and machine learning models have been proposed for software effort estimation over the past decade, the level of accuracy is not satisfactory enough.
The objective of this study is to assess the capability of using two different soft computing methods namely artificial neural networks (ANNs) and adaptive neuro-fuzzy inference system (ANFIS) to estimate the software effort.
COCOMO dataset is used to test and train the proposed models.
Mean magnitude of relative-error (MMRE) and correlation coefficient (R) were used as assessment criteria.
It was concluded that both models can satisfactorily estimate software development efforts, but ANFIS model has outperformed the ANN model in two statistical indicators: MMRE and correlation R.
It is recommended that ANFIS can be used as a predictive model for software effort estimation.
American Psychological Association (APA)
Muhsin, Zaynab Rustum. 2021. Comparative study for software effort estimation by soft computing models. Journal of College of Education for Pure Sciences،Vol. 11, no. 2, pp.108-120.
https://search.emarefa.net/detail/BIM-1384504
Modern Language Association (MLA)
Muhsin, Zaynab Rustum. Comparative study for software effort estimation by soft computing models. Journal of College of Education for Pure Sciences Vol. 11, no. 2 (Nov. 2021), pp.108-120.
https://search.emarefa.net/detail/BIM-1384504
American Medical Association (AMA)
Muhsin, Zaynab Rustum. Comparative study for software effort estimation by soft computing models. Journal of College of Education for Pure Sciences. 2021. Vol. 11, no. 2, pp.108-120.
https://search.emarefa.net/detail/BIM-1384504
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 118-120
Record ID
BIM-1384504