Published January 19, 2024
| Version v1
Conference paper
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From Cluster Hypothesis to Semi-Supervised Clustering: Exploiting LLMs to Solve the Next Release Problem
Creators
Description
A: Datasets
A1. Zoom
A2. WebEx
A3. Microsoft 365
A4. Discord
A dataset file contains multiple NRP (next release problem) instances: each instance per sheet. Regarding the labels, “1” means the correct NRP solutions, “0” means the candidate requirements that are not part of the next release, and “-1” means the already implemented requirements.
B: Python Code
B1. Cluster_hypothesis.ipynb
B2. LLM.ipynb
B3. PCKMeans.ipynb
C: Cluster vs LLM Graphs
C1. Average F-measure results of clustering and LLM