Automatically Inferring and Enforcing User Expectations

Hotzkow, Jenny
(2017) Automatically Inferring and Enforcing User Expectations.
In: Proceedings of the 26th ACM SIGSOFT International Symposium on Software Testing and Analysis, Santa Barbara, CA, USA, July 10 - 14, 2017, July 10-14, Santa Barbara, CA, USA.

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10.1145/3100000/3098236/issta17-docid3.pdf_ip=134.96.235.9&id=3098236&acc=ACTIVE%20SERVICE&key=2BA2C432AB83DA15.751454C00E92148A.4D4702B0C3E38B35.4D4702B0C3E38B35&__acm__=1518614987_a8313ea828d90cd0c02d7dd535209667 - Published Version
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Official URL: http://doi.acm.org/10.1145/3092703.3098236

Abstract

Can we automatically learn how users expect an application to behave? Yes, if we consider an application from the users perspective. Whenever presented with an unfamiliar app, the user not only regards the context presented by this particular application, but rather considers previous experiences from other applications. This research presents an approach to reflect this procedure by automatically learning user expectations from the semantic contexts over multiple applications. Once the user expectations are established, this knowledge can be used as an oracle, to test if an application follows the user's expectations or entails surprising behavior by error or deliberately.

Item Type: Conference or Workshop Item (A Paper) (Paper)
Divisions: Andreas Zeller (Software Engineering, ST)
Depositing User: Jenny Rau
Date Deposited: 14 Feb 2018 13:43
Last Modified: 18 Jul 2019 12:11
Primary Research Area: NRA4: Secure Mobile and Autonomous Systems
URI: https://publications.cispa.saarland/id/eprint/1449

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