Abstract
Cost and time prediction is very crucial for software development. For many years conventional techniques to determine them were followed, but nowadays the software companies are moving toward adopting agile paradigm. It is due to its various characteristics such as iterative development, rapid delivery, and reduced risk. This work proposes the role of fuzzy logic in agile software cost and time optimization. Here, both fuzzy type-1 and type-2 are evaluated on agile dataset.
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CITATION STYLE
Kaushik, A., Tayal, D. K., & Yadav, K. (2020). A Fuzzy Approach for Cost and Time Optimization in Agile Software Development. In Advances in Intelligent Systems and Computing (Vol. 1082, pp. 629–639). Springer. https://doi.org/10.1007/978-981-15-1081-6_53
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