This is the replications package for paper 'Assessing and Optimizing the Performance Impact of the Just-in-time Conguration Parameters - A Case Study on PyPy'. The package is composed with two parts:

This part provides a tool with which we can tune PyPy's JIT configurations for different applications to optimize their performance.

A more detailed introduction about how to use the tool can be found in the README.md file in PyPyJITTuner.

This part provides the result and scripts in our empirical study and case study. Also, a more detailed introduction can be found in the README.md file of Results_and_Scripts.