Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/30334
Appears in Collections:Computing Science and Mathematics Conference Papers and Proceedings
Author(s): Petke, Justyna
Brownlee, Alexander E I
Contact Email: sbr@cs.stir.ac.uk
Title: Software Improvement with Gin: A Case Study
Editor(s): Nejati, Shiva
Gay, Gregory
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
Issue Date: 2019
Series/Report no.: Lecture Notes in Computer Science, 11664
Conference Name: 11th International Symposium on Search Based Software Engineering
Conference Dates: 2019-08-31 - 2019-09-01
Conference Location: Tallinn, Estonia
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.
Status: AM - Accepted Manuscript
Rights: This is a post-peer-review, pre-copyedit version of a paper published 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. The final authenticated version is available online at: https://doi.org/10.1007/978-3-030-27455-9_14
Licence URL(s): https://storre.stir.ac.uk/STORREEndUserLicence.pdf

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