Harman, M;
O'Hearn, P;
(2018)
From start-ups to scale-ups: Opportunities and open problems for static and dynamic program analysis.
In:
2018 IEEE 18th International Working Conference on Source Code Analysis and Manipulation (SCAM).
(pp. pp. 1-23).
IEEE
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Abstract
This paper describes some of the challenges and opportunities when deploying static and dynamic analysis at scale, drawing on the authors' experience with the Infer and Sapienz Technologies at Facebook, each of which started life as a research-led start-up that was subsequently deployed at scale, impacting billions of people worldwide. The paper identifies open problems that have yet to receive significant attention from the scientific community, yet which have potential for profound real world impact, formulating these as research questions that, we believe, are ripe for exploration and that would make excellent topics for research projects.
| Type: | Proceedings paper |
|---|---|
| Title: | From start-ups to scale-ups: Opportunities and open problems for static and dynamic program analysis |
| Event: | IEEE 18th International Working Conference on Source Code Analysis and Manipulation (SCAM), 23-24 September 2018, Madrid, Spain |
| ISBN-13: | 9781538682906 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1109/SCAM.2018.00009 |
| Publisher version: | https://doi.org/10.1109/SCAM.2018.00009 |
| 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: | Facebook , Testing , Industries , Static analysis , Software , Tools , Prototypes, verification , flaky test , compositional reasoning , Infer , Sapienz , SBSE , Separation Logic |
| 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/10068035 |
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