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Conference Proceeding

Software Improvement with Gin: A Case Study

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

StatusPublished
Author(s)Petke, Justyna; Brownlee, Alexander E I
FundersEngineering and Physical Sciences Research Council and The Carnegie Trust
Title of seriesLecture Notes in Computer Science
Number in series11664
Publication date31/12/2019
Publication date online31/08/2019
URLhttp://hdl.handle.net/1893/30334
PublisherSpringer Verlag
Place of publicationCham, Switzerland
ISSN of series0302-9743
ISBN978-3-030-27454-2
eISBN978-3-030-27455-9
Conference11th International Symposium on Search Based Software Engineering
Conference locationTallinn, Estonia
Dates
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