UT Institute of Computer Science Graduation Theses Registry

Name

Evaldas Petnjunas

Abstract

Goblint is a static program analysis tool which uses a benchmarking suite for ensuring soundness and effectiveness of its analyses. The current solution for benchmarking relies on a set of Ruby scripts which have become unmaintainable and difficult to extend. This thesis describes a unified benchmarking framework for program analysis tools in Python programming language. The framework provides at least the same functionality as the old solution for benchmarking, while making the porting and replacing of old benchmarking scripts to Python possible. The new framework makes extending and maintaining the functionality of the benchmarking suite easier, as most of the framework’s code is shared across different modules. The solution was validated by first porting old scripts to Python using the new framework and then comparing them to scripts from the old benchmarking suite. The ported scripts are much simpler but retain the same functionality and benchmarking results.

Graduation Thesis language

Estonian

Graduation Thesis type

Bachelor - Computer Science

Supervisor(s)

Simmo Saan

Defence year

2024