GENERATING JAVA CODE WITH AI TOOLS. USAGE AND IMPLICATIONS

Alexandru Tä‚buè˜cä‚ (), Andrei Luchici (), Mihai Botezatu () and Silvia Tä‚buè˜cä‚ ()
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Alexandru Tä‚buè˜cä‚: Romanian-American University, Romania
Andrei Luchici: Center for Research in AI, Romania
Mihai Botezatu: Romanian-American University, Romania
Silvia Tä‚buè˜cä‚: Center for Human Rights and Migration, Romania,
Authors registered in the RePEc Author Service: Alexandru TĂBUȘCĂ

Journal of Information Systems & Operations Management, 2025, vol. 19, issue 1, 306-328

Abstract: Java programming, a high-level, general-purpose language renowned for its "Write Once, Run Anywhere" (WORA) capability, has (re)gained notable traction as developers increasingly integrate artificial intelligence (AI) generative tools into their workflows. Java’s platform independence, robust security features, and extensive libraries have made it a preferred choice for a wide range of applications, from mobile apps to large-scale enterprise systems. The advent of AI generative tools, such as ChatGPT, GitHub Copilot or Amazon CodeWhisperer, has further enhanced Java programming by automating mundane tasks, improving code quality, and fostering creativity in the development process. In today’s world, solid knowledge related to AI code generation tools is a must for all developers and software engineers. AI tools for generating Java code have also started an entire new set of debates related to copyright issues. Currently, the relevant legal frameworks, at international level, are not harmonized and in some cases even antagonistic.

Date: 2025
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