Mao, K;
Harman, M;
Jia, Y;
(2017)
Crowd Intelligence Enhances Automated Mobile Testing.
In:
2017 32nd IEEE/ACM International Conference on Automated Software Engineering (ASE).
(pp. pp. 16-26).
IEEE: New York, NY, USA.
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Abstract
We show that information extracted from crowd-based testing can enhance automated mobile testing. We introduce Polariz, which generates replicable test scripts from crowd-based testing, extracting cross-app `motif' events: automatically-inferred reusable higher-level event sequences composed of lower-level observed event actions. Our empirical study used 434 crowd workers from Mechanical Turk to perform 1,350 testing tasks on 9 popular Google Play apps, each with at least 1 million user installs. The findings reveal that the crowd was able to achieve 60.5% unique activity coverage and proved to be complementary to automated search-based testing in 5 out of the 9 subjects studied. Our leave-one-out evaluation demonstrates that coverage attainment can be improved (6 out of 9 cases, with no disimprovement on the remaining 3) by combining crowd-based and search-based testing.
| Type: | Proceedings paper |
|---|---|
| Title: | Crowd Intelligence Enhances Automated Mobile Testing |
| Event: | 32nd IEEE/ACM International Conference on Automated Software Engineering, 30 October - 3 November 2017, Urbana, IL, USA |
| ISBN-13: | 978-1-5386-2684-9/17 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1109/ASE.2017.8115614 |
| Publisher version: | https://doi.org/10.1109/ASE.2017.8115614 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Testing , Mobile communication , Tools , Data mining , Androids , Humanoid robots , Mobile handsets, Crowdsourced Software Engineering , Mobile App Testing , Test Generation |
| 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/10037960 |
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