Effort and Size Estimation in Software Projects with Large Language Model-based Intelligent Interfaces
Software Engineering
2024-07-01 v2 Machine Learning
Abstract
The advancement of Large Language Models (LLM) has also resulted in an equivalent proliferation in its applications. Software design, being one, has gained tremendous benefits in using LLMs as an interface component that extends fixed user stories. However, inclusion of LLM-based AI agents in software design often poses unexpected challenges, especially in the estimation of development efforts. Through the example of UI-based user stories, we provide a comparison against traditional methods and propose a new way to enhance specifications of natural language-based questions that allows for the estimation of development effort by taking into account data sources, interfaces and algorithms.
Cite
@article{arxiv.2402.07158,
title = {Effort and Size Estimation in Software Projects with Large Language Model-based Intelligent Interfaces},
author = {Claudionor N. Coelho and Hanchen Xiong and Tushar Karayil and Sree Koratala and Rex Shang and Jacob Bollinger and Mohamed Shabar and Syam Nair},
journal= {arXiv preprint arXiv:2402.07158},
year = {2024}
}