This dataset contains survey responses collected from Agile practitioners across various roles, including Scrum Masters, Developers, Product Owners, and Agile Coaches, from organizations with diverse Agile practices. The survey aimed to identify the common challenges in backlog refinement, such as time constraints, prioritization issues, and ambiguous user stories. It also explored perceptions of Generative AI's role in streamlining Agile workflows, enhancing productivity, and reducing cognitive load.

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[1] Shreyam Dutta Gupta, Sreya Biswas, "Survey on Agile Practices and Technology Adoption", IEEE Dataport, 2024. [Online]. Available: http://dx.doi.org/10.21227/b0ay-9d82. Accessed: Jan. 17, 2025.
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author = {Shreyam Dutta Gupta; Sreya Biswas },
publisher = {IEEE Dataport},
title = {Survey on Agile Practices and Technology Adoption},
year = {2024} }
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AU - Shreyam Dutta Gupta; Sreya Biswas
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Shreyam Dutta Gupta, Sreya Biswas. (2024). Survey on Agile Practices and Technology Adoption. IEEE Dataport. http://dx.doi.org/10.21227/b0ay-9d82
Shreyam Dutta Gupta, Sreya Biswas, 2024. Survey on Agile Practices and Technology Adoption. Available at: http://dx.doi.org/10.21227/b0ay-9d82.
Shreyam Dutta Gupta, Sreya Biswas. (2024). "Survey on Agile Practices and Technology Adoption." Web.
1. Shreyam Dutta Gupta, Sreya Biswas. Survey on Agile Practices and Technology Adoption [Internet]. IEEE Dataport; 2024. Available from : http://dx.doi.org/10.21227/b0ay-9d82
Shreyam Dutta Gupta, Sreya Biswas. "Survey on Agile Practices and Technology Adoption." doi: 10.21227/b0ay-9d82