Comparing the Effectiveness of Generative AI for Learning and Developing Flutter Application

The rapid growth of business demands modern technological advancements, leading to an increased need for accelerated learning and development of tools. Generative AI has become a key player in enhancing these areas by aiding in code generation for application development. Specifically, Generative AI can produce functional code for various programming languages, aiding in the setup of UI components, navigation, and complex state management. This study evaluates the effectiveness of three widely-used Generative AI tools— ChatGPT, Copilot, and Codeium—chosen for their popularity and diverse approaches to code generation. Standardized prompts were used to generate Flutter code for beginner, intermediate, and advanced tasks. The results show that ChatGPT outperformed other tools, consistently generating runnable and comprehensive code, while Copilot and Codeium exhibited some limitations in handling complex tasks. These findings suggest that integrating Generative AI into Flutter development can significantly accelerate the coding process and enhance application quality.

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Publication Details

Published
2024-11-14
DOI
https://doi.org/10.1109/incit63192.2024.10810490
Citations
1
Primary Topic
Model Reduction and Neural Networks
Type
article
Field-Weighted Citation Impact
0.28
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article

Comparing the Effectiveness of Generative AI for Learning and Developing Flutter Application

Pheng‐Ann Heng, Parkpoom Chaisiriprasert, Karn Yongsiriwit
1 citations
Model Reduction and Neural Networks
0.28
article

Comparing the Effectiveness of Generative AI for Learning and Developing Flutter Application

Pheng‐Ann Heng, Parkpoom Chaisiriprasert, Karn Yongsiriwit
article en
1 citations

Abstract

The rapid growth of business demands modern technological advancements, leading to an increased need for accelerated learning and development of tools. Generative AI has become a key player in enhancing these areas by aiding in code generation for application development. Specifically, Generative AI can produce functional code for various programming languages, aiding in the setup of UI components, navigation, and complex state management. This study evaluates the effectiveness of three widely-used Generative AI tools— ChatGPT, Copilot, and Codeium—chosen for their popularity and diverse approaches to code generation. Standardized prompts were used to generate Flutter code for beginner, intermediate, and advanced tasks. The results show that ChatGPT outperformed other tools, consistently generating runnable and comprehensive code, while Copilot and Codeium exhibited some limitations in handling complex tasks. These findings suggest that integrating Generative AI into Flutter development can significantly accelerate the coding process and enhance application quality.

Rangsit University (TH)
Openalex Percentile: Top 41%
Model Reduction and Neural Networks
0.28
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