Journal of Intelligent Systems and Internet of Things
JISIoT
2690-6791
2769-786X
10.54216/JISIoT
https://www.americaspg.com/journals/show/766
2019
2019
Intelligent System for Forecasting Failure of Agile Projects
Nova Information Management School, Universidade Nova de Lisboa, 1070-312, Lisboa, Portugal
Ahmed
Ahmed
Revealing the failure of agile software projects is a great challenge faced by software companies. This paper focuses on the using of intelligent techniques such as fuzzy logic, multiple linear regressions, support vector machine, neural network to address this challenge. This paper also presents a review of some works related to this area of interest. In this paper, the researchers propose an approach for revealing the failure of agile software projects based on two intelligent techniques: fuzzy logic and multiple linear regressions (MLR). MLR is used to determine crucial failure factors of agile software projects. Fuzzy logic is used for revealing failure of agile software projects.
2021
2021
08
19
10.54216/JISIoT.050102
https://www.americaspg.com/articleinfo/18/show/766