Data-driven effort estimation techniques of agile user stories: a systematic literature review
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Linguistics and Language,Language and Linguistics
Link
https://link.springer.com/content/pdf/10.1007/s10462-021-10132-x.pdf
Reference85 articles.
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2. Adnan M, Afzal M (2017) Ontology based multiagent effort estimation system for scrum agile method. IEEE Access. https://doi.org/10.1109/ACCESS.2017.2771257
3. Alloghani M, Al-Jumeily Obe D, Mustafina J, Hussain A, Aljaaf A (2020) A systematic review on supervised and unsupervised machine learning algorithms for data science. Superv Unsuperv Learn Data Sci. https://doi.org/10.1007/978-3-030-22475-2_1
4. Alostad JM, Abdullah LRA, Aali LS (2017) A fuzzy based model for effort estimation in scrum projects. Int J Adv Comput Sci Appl (IJACSA)https://doi.org/10.14569/IJACSA.2017.080939
5. Altaleb A, Altherwi M, Gravell A (2020) An industrial investigation into effort estimation predictors for mobile app development in agile processes. In: 2020 9th international conference on industrial technology and management (ICITM), https://doi.org/10.1109/ICITM48982.2020.9080362
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