Automatically Inferring and Enforcing User Expectations

被引：3
|
作者：
Hotzkow, Jenny [1 ]
机构：
[1] Saarland Univ, Saarbrucken, Germany
来源：
PROCEEDINGS OF THE 26TH ACM SIGSOFT INTERNATIONAL SYMPOSIUM ON SOFTWARE TESTING AND ANALYSIS (ISSTA'17) | 2017年
关键词：
android; anomaly detection; malware classification; semantics-aware;
D O I：
10.1145/3092703.3098236
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
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.
引用
收藏
页码：420 / 423
页数：4
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