This paper aims to develop a tool for automated translation of NL text into RTs. As a result, we developed a prototype to translate NL text within EARS and RUPP’s RTs. The prototype also computes six quality metrics values before and after processing the NL text into RTs. Preliminary results show improvement in the quality of NL requirements and translation approach. We have evaluated the working process and capabilities of the prototype by applying 16 problem specifications.

Demonstration video: https://youtu.be/4Ac3jZpLacc