TY  - GEN
A1  - An, G
A1  - Blot, A
A1  - Petke, J
A1  - Yoo, S
KW  - Software and its engineering
KW  -  Software creation and management
KW  -  Search-based software engineering
CY  - New York (NY), USA
UR  - https://dx.doi.org/10.1145/3338906.3341184
PB  - ACM
N2  - PyGGI is a research tool for Genetic Improvement (GI), that is designed to be versatile and easy to use. We present version 2.0 of PyGGI, the main feature of which is an XML-based intermediate program representation. It allows users to easily define GI operators and algorithms that can be reused with multiple target languages. Using the new version of PyGGI, we present two case studies. First, we conduct an Automated Program Repair (APR) experiment with the QuixBugs benchmark, one that contains defective programs in both Python and Java. Second, we replicate an existing work on runtime improvement through program specialisation for the MiniSAT satisfiability solver. PyGGI 2.0 was able to generate a patch for a bug not previously fixed by any APR tool. It was also able to achieve 14% runtime improvement in the case of MiniSAT. The presented results show the applicability and the expressiveness of the new version of PyGGI. A video of the tool demo is at: https://youtu.be/PxRUdlRDS40.
ID  - discovery10082880
N1  - This version is the author accepted manuscript. For information on re-use, please refer to the publisher?s terms and conditions.
SP  - 1100
AV  - public
Y1  - 2019/08/12/
EP  - 1104
TI  - PyGGI 2.0: Language independent genetic improvement framework
ER  -