Effort and Size Estimation in Software Projects with Large Language Model-based Intelligent Interfaces

• URL: http://arxiv.org/abs/2402.07158v2
• Date: Fri, 28 Jun 2024 08:57:39 GMT
• Title: Effort and Size Estimation in Software Projects with Large Language Model-based Intelligent Interfaces
• Authors: Claudionor N. Coelho Jr, Hanchen Xiong, Tushar Karayil, Sree Koratala, Rex Shang, Jacob Bollinger, Mohamed Shabar, Syam Nair,
• Abstract summary: We propose a new way to enhance specifications of natural language-based questions that allows for the estimation of development effort. We provide a comparison against traditional methods and propose a new way to enhance specifications of natural language-based questions.
• Score: 0.4043859792291222
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• 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.

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