Artificial Intelligence in System and Software Engineering for Auto Code Generation

Artificial Intelligence has profoundly impacted system and software engineering by facilitating the automation of complicated tasks, reducing errors, and accelerating the development process. AI-driven tools help enhance efficiency, improve code quality, and promote the generation of more adaptive and innovative software solutions. The present research uses AI-generated tools to explore how AI transforms code synthesis. The study will include a comparative analysis of the performance of manual coding and other automated methods to explore how AI can accelerate code synthesis and make modern web development more competent or effective. It is suggested in the research that with algorithmic and contextual consideration, the quality of code developed by the AI would be higher in most cases than by people due to lower error rates and shorter synthesis. Overall, the central conclusion of the research is that AI plays a crucial role in transforming systems and software engineering. The paper also includes information on ethical dilemmas, robust validation mechanisms, conservative modes, and current research.

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Publication Details

Published
2024-08-29
DOI
https://doi.org/10.1109/iceect61758.2024.10738945
Citations
9
Primary Topic
AI-based Problem Solving and Planning
Type
article
Field-Weighted Citation Impact
3.13
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article

Artificial Intelligence in System and Software Engineering for Auto Code Generation

Kapil Ghai, Vishan Kumar Gupta, Anupriya Sharma Ghai, Vandna Rawat
9 citations
AI-based Problem Solving and Planning
3.13
article

Artificial Intelligence in System and Software Engineering for Auto Code Generation

Kapil Ghai, Vishan Kumar Gupta, Anupriya Sharma Ghai, Vandna Rawat
article en
9 citations

Abstract

Artificial Intelligence has profoundly impacted system and software engineering by facilitating the automation of complicated tasks, reducing errors, and accelerating the development process. AI-driven tools help enhance efficiency, improve code quality, and promote the generation of more adaptive and innovative software solutions. The present research uses AI-generated tools to explore how AI transforms code synthesis. The study will include a comparative analysis of the performance of manual coding and other automated methods to explore how AI can accelerate code synthesis and make modern web development more competent or effective. It is suggested in the research that with algorithmic and contextual consideration, the quality of code developed by the AI would be higher in most cases than by people due to lower error rates and shorter synthesis. Overall, the central conclusion of the research is that AI plays a crucial role in transforming systems and software engineering. The paper also includes information on ethical dilemmas, robust validation mechanisms, conservative modes, and current research.

Graphic Era University (IN)
Openalex Percentile: Top 7%
AI-based Problem Solving and Planning
3.13
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