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Additional material for the paper "Investigating the Effectiveness of Clustering for Story Point Estimation"

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posted on 29.03.2022, 09:11 by Vali TawosiVali Tawosi, Afnan Abdulaziz A AlsubaihinAfnan Abdulaziz A Alsubaihin, Federica SarroFederica Sarro
This repository contains the data and code used in the paper titled "Investigating the Effectiveness of Clustering for Story Point Estimation" by Vali Tawosi, Afnan Al-Subaihin, and Federica Sarro, accepted at the IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2022.

Funding

ERC advanced fellowship grant 741278: Evolutionary Program Improvement Collaborators (EPIC)

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Investigating the Effectiveness of Clustering for Story Point Estimation
Department of Computer ScienceDepartment of Computer Science

Categories

Keywords

Software Effort EstimationStory Point EstimationLatent Dirichlet AllocationHierarchical Clustering

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CC BY 4.0

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