Document Type
Post-Print
Publication Date
7-12-2015
Subjects
Computer programs--Testing, Debugging in computer science
Abstract
Robustness testing is a crucial stage in the device driver development cycle. To accelerate driver robustness testing, effective fault scenarios need to be generated and injected without requiring much time and human effort. In this pa- per, we present a practical approach to automatic runtime generation and injection of fault scenarios for driver robust- ness testing. We identify target functions that can fail from runtime execution traces, generate effective fault scenarios on these target functions using a bounded trace-based it- erative strategy, and inject the generated fault scenarios at runtime to test driver robustness using a permutation-based injection mechanism. We have evaluated our approach on 12 Linux device drivers and found 28 severe bugs. All these bugs have been further validated via manual fault injection. The results demonstrate that our approach is useful and efficient in generating fault scenarios for driver robustness testing with little manual effort.
DOI
10.1145/2771783.2771811
Persistent Identifier
http://archives.pdx.edu/ds/psu/16863
Citation Details
Cong, Kai; Lei, Li; Yang, Zhenkun; and Xie, Fei, "Automatic Fault Injection for Driver Robustness Testing" (2015). Computer Science Faculty Publications and Presentations. 152.
http://archives.pdx.edu/ds/psu/16863
Description
This is the author’s version of a work that was accepted for publication in the Proceedings of the International Symposium on Software Testing and Analysis (ISSTA '15).
A definitive version was subsequently published online at: http://dx.doi.org/10.1145/2771783.2771811