Sarro, F;
(2018)
Predictive analytics for software testing: Keynote paper.
In:
SBST’18: Proceedings of the 11th International Workshop on Search-Based Software Testing.
(pp. p. 1).
ACM: New York, NY, USA.
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Abstract
This keynote discusses the use of Predictive Analytics for Software Engineering, and in particular for Software Defect Prediction and Software Testing, by presenting the latest results achieved in these fields leveraging Artificial Intelligence, Search-based and Machine Learning methods, and by giving some directions for future work.
| Type: | Proceedings paper |
|---|---|
| Title: | Predictive analytics for software testing: Keynote paper |
| Event: | 11th International Workshop on Search-Based Software Testing (SBST’18) |
| ISBN-13: | 9781450357418 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1145/3194718.3194730 |
| Publisher version: | http://dx.doi.org/10.1145/3194718.3194730 |
| Language: | English |
| Additional information: | © 2018 Author.This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices 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/10054557 |
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