Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/26211
Appears in Collections:Computing Science and Mathematics Conference Papers and Proceedings
Author(s): Haraldsson, Saemundur
Woodward, John
Brownlee, Alexander
Siggeirsdottir, Kristin
Contact Email: soh@cs.stir.ac.uk
Title: Fixing bugs in your sleep: How genetic improvement became an overnight success
Citation: Haraldsson S, Woodward J, Brownlee A & Siggeirsdottir K (2017) Fixing bugs in your sleep: How genetic improvement became an overnight success In: 2017 Genetic and Evolutionary Computation Conference Companion, GECCO 2017, New York: Association for Computing Machinery, Inc. GECCO 2017: The Genetic and Evolutionary Computation Conference, 15.7.2017 - 19.7.2017, Berlin, Germany, pp. 1513-1520.
Issue Date: 2017
Conference Name: GECCO 2017: The Genetic and Evolutionary Computation Conference
Conference Dates: 2017-07-15T00:00:00Z
Conference Location: Berlin, Germany
Abstract: We present a bespoke live system in commercial use with self-improving capability. During daytime business hours it provides an overview and control for many specialists to simultaneously schedule and observe the rehabilitation process for multiple clients. However in the evening, after the last user logs out, it starts a self-analysis based on the day's recorded interactions. It generates test data from the recorded interactions for Genetic Improvement to fix any recorded bugs that have raised exceptions. The system has already been under test for over 6 months and has in that time identified, located, and fixed 22 bugs. No other bugs have been identified by other methods during that time. It demonstrates the effectiveness of simple test data generation and the ability of GI for improving live code.
Status: Book Chapter: publisher version
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