Presentation
Practical Viability of Translating Legacy Fortran Code to C++ Using Large Language Models
DescriptionIn this study, we discuss the practicality and limitations of using current large language models (LLMs) for automatically translating Fortran legacy codes to C++, so that legacy codes written in Fortran can be modernized to exploit the performance and features available only in C++. Moreover, we investigate the effectiveness of in-context learning (ICL: translation using custom prompts) and interactive translation (IT: re-translating the code when a compile error occurs) at automatic Fortran-to-C++ translation. In our evaluation, the rate of producing the same results as the original code, called the output match rate, is used as the primary evaluation metric. The evaluation results not only demonstrate that it is difficult even for the latest LLM to achieve 100% accurate translation at present, but also that ICL and IT are effective to improve the accuracy.
Event Type
Research and ACM SRC Posters
TimeTuesday, 18 November 20258:00am - 5:00pm CST
LocationSecond Floor Atrium
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