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Deploying Search Based Software Engineering with Sapienz at Facebook

Alshahwan, N; Gao, X; Harman, M; Jia, Y; Mao, K; Mols, A; Tei, T; (2018) Deploying Search Based Software Engineering with Sapienz at Facebook. In: Colanzi, TE and McMinn, P, (eds.) Proceedings of the 10th International Symposium on Search Based Software Engineering. (pp. pp. 3-45). Springer Nature: Cham, Switzerland. Green open access

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Abstract

We describe the deployment of the Sapienz Search Based Software Engineering (SBSE) testing system. Sapienz has been deployed in production at Facebook since September 2017 to design test cases, localise and triage crashes to developers and to monitor their fixes. Since then, running in fully continuous integration within Facebook’s production development process, Sapienz has been testing Facebook’s Android app, which consists of millions of lines of code and is used daily by hundreds of millions of people around the globe. We continue to build on the Sapienz infrastructure, extending it to provide other software engineering services, applying it to other apps and platforms, and hope this will yield further industrial interest in and uptake of SBSE (and hybridisations of SBSE) as a result.

Type: Proceedings paper
Title: Deploying Search Based Software Engineering with Sapienz at Facebook
Event: SSBSE 2018
Location: Montpellier, France
Dates: 8th-9th September 2018
ISBN-13: 978-3-319-99241-9
Open access status: An open access version is available from UCL Discovery
DOI: 10.1007/978-3-319-99241-9_1
Publisher version: http://doi.org/10.1007/978-3-319-99241-9_1
Language: English
Additional information: © Springer Nature Switzerland AG 2018. This chapter is licensed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/).
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
URI: https://discovery.ucl.ac.uk/id/eprint/10060107
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