Conference Paper (published)
Details
Citation
Petke J & Brownlee AEI (2019) Software Improvement with Gin: A Case Study. In: Nejati S & Gay G (eds.) Search-Based Software Engineering. SSBSE 2019. Lecture Notes in Computer Science, 11664. 11th International Symposium on Search Based Software Engineering, Tallinn, Estonia, 31.08.2019-01.09.2019. Cham, Switzerland: Springer Verlag, pp. 183-189. https://doi.org/10.1007/978-3-030-27455-9_14
Abstract
We provide a case study for the usage of Gin, a genetic improvement toolbox for Java. In particular, we implemented a simple GP search and targeted two software optimisation properties: runtime and repair. We ran our search algorithm on Gson, a Java library for converting Java objects to JSON and vice-versa. We report on runtime improvements and fixes found. We provide all the new code and data on the dedicated website: https://github.com/justynapt/ssbseChallenge2019.
Keywords
Genetic improvement; Search-based software engineering
| Status | Published |
|---|---|
| Funders | Engineering and Physical Sciences Research Council and The Carnegie Trust |
| Title of series | Lecture Notes in Computer Science |
| Number in series | 11664 |
| Publication date | 31/12/2019 |
| Publication date online | 31/08/2019 |
| URL | http://hdl.handle.net/1893/30334 |
| Publisher | Springer Verlag |
| Place of publication | Cham, Switzerland |
| ISSN of series | 0302-9743 |
| ISBN | 978-3-030-27454-2 |
| eISBN | 978-3-030-27455-9 |
| Conference | 11th International Symposium on Search Based Software Engineering |
| Conference location | Tallinn, Estonia |
| Dates | – |
People (1)
Associate Professor, Computing Science and Mathematics - Division