Correlation of Traditional Technique and ML-Based Technique for Efficient Effort Estimation: In Agile Frameworks
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-3810-6_21
Reference28 articles.
1. Sharma A, Chaudhary N (2022) Analysis of software effort estimation based on story point and lines of code using machine learning. Int J Comput Digital Syst 12(1):131–140. https://doi.org/10.12785/ijcds/120112
2. Dantas E, Perkusich M, Dilorenzo E, Santos DFS, Almeida H, Perkusich A (2018) Effort estimation in agile software development: an updated review. Int J Softw Eng Knowl Eng World Scientific Publishing Co. Pte Ltd, pp 1811–1831. https://doi.org/10.1142/S0218194018400302
3. Ramessur MA, Nagowah SD (2021) A predictive model to estimate effort in a sprint using machine learning techniques. Int J Inf Technol (Singapore) 13(3):1101–1110. https://doi.org/10.1007/s41870-021-00669-z
4. Arora M, Verma S, Kavita, Chopra S (2020) A systematic literature review of machine learning estimation approaches in scrum projects. Adv Intell Syst Comput, Springer, pp 573–586. https://doi.org/10.1007/978-981-15-1451-7_59
5. Prasada Rao C, Siva Kumar P, Rama Sree S, Devi J (2018) An agile effort estimation based on story points using machine learning techniques. Adv Intell Syst Comput, Springer, pp 209–219. https://doi.org/10.1007/978-981-10-8228-3_20
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