DroidBot: A Lightweight UI-Guided Test Input Generator for Android
By Yuanchun Li, Ziyue Yang, Yao Guo, Xiangqun Chen. 2017 IEEE/ACM 39th International Conference on Software Engineering Companion (ICSE-C), 2017
324 citations recorded by the source corpus.
Subfields: Information Systems, Software, Signal Processing
View Paper: https://www.semanticscholar.org/paper/b0ab6ea5e64e1da3fe4834f89dcbefcd276f918e
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Information Systems
In Software
In Signal Processing
Citations in the corpus
- Software Testing With Large Language Models: Survey, Landscape, and Vision (2023, unknown): “Similarly, when it comes to mobile GUI testing, existing studies with random-/rule-based methods [9], [10], model-based methods [11], [12], and learning-based methods [13] are unable to understand the semantic information of the GUI page and often fall short in achieving comprehensive coverage…”
- DL-Droid: Deep learning based android malware detection using real devices (2019, methodology): “Nevertheless, in Alzaylaee et al. (2017) and Yerima et al. (2019) investigations proved that Monkey’s code coverage capability could be surpassed by stateful approach enabled by tools such as DroidBot Li et al. (2017) .”