Enhancing Software Engineering with AI: Key Insights from ChatGPT

Artificial intelligence (AI) is currently a prominent topic in the field of software engineering. AI has greatly transformed software engineering by providing advanced tools that may boost the effectiveness and efficiency of various stages of the system development life cycle. In this paper, we examine the role of AI by focusing primarily on ChatGPT, an OpenAI language model. The research explores how ChatGPT can assist in software engineering tasks such as code generation, bug fixing, and documentation development. Through an analysis of real-world scenarios, the case study highlights the benefits and challenges of using AI tools in these three areas. The findings show that although AI can accelerate the output and simplify processes, its application must be carefully considered because it has issues in terms of lack of context awareness regarding performance considerations, project-specific requirements, its inability to access real-time logs or inspect environments, and its tendency to produce documentation that doesn't capture the necessary details for complex systems.

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Publication Details

Published
2024-12-11
DOI
https://doi.org/10.1109/dasa63652.2024.10836262
Citations
2
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.24
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article

Enhancing Software Engineering with AI: Key Insights from ChatGPT

Luay Tahat, Ahmad Al‐Ahmad, Hasan Kahtan, Tarek Tahat
2 citations
Artificial Intelligence in Healthcare and Education
0.24
article

Enhancing Software Engineering with AI: Key Insights from ChatGPT

Luay Tahat, Ahmad Al‐Ahmad, Hasan Kahtan, Tarek Tahat
article en
2 citations

Abstract

Artificial intelligence (AI) is currently a prominent topic in the field of software engineering. AI has greatly transformed software engineering by providing advanced tools that may boost the effectiveness and efficiency of various stages of the system development life cycle. In this paper, we examine the role of AI by focusing primarily on ChatGPT, an OpenAI language model. The research explores how ChatGPT can assist in software engineering tasks such as code generation, bug fixing, and documentation development. Through an analysis of real-world scenarios, the case study highlights the benefits and challenges of using AI tools in these three areas. The findings show that although AI can accelerate the output and simplify processes, its application must be carefully considered because it has issues in terms of lack of context awareness regarding performance considerations, project-specific requirements, its inability to access real-time logs or inspect environments, and its tendency to produce documentation that doesn't capture the necessary details for complex systems.

Gulf University for Science & Technology (KW), Cardiff Metropolitan University (GB)
Industry, innovation and infrastructure
Openalex Percentile: Top 38%
Artificial Intelligence in Healthcare and Education
0.24
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Enhancing Software Engineering with AI: Key Insights from ChatGPT — Luay Tahat, Ahmad Al‐Ahmad, et al. · (2024) | TGRS Research Map | TGRS