Abstract
Abstract Context The importance of automotive software has been rapidly increasing because software controls many components of motor vehicles such as smart-key system, tire pressure monitoring system, and advanced driver assistance system. Consequently, the automotive industry spends a large amount of human effort to test automotive software and is interested in automated testing techniques to ensure high-quality automotive software with reduced human effort. Objective Applying automated test generation techniques to automotive software is technically challenging because of false alarms caused by imprecise test drivers/stubs and lack of tool supports for symbolic analysis of bit-fields and function pointers in C. To address such challenges, we have developed an automated testing framework MAESTRO. Method MAESTRO automatically builds a test driver and stubs for a target task (i.e., a software unit consisting of target functions). Then, it generates test inputs to a target task with the test driver and stubs by applying concolic testing and fuzzing together in an adaptive way. In addition, MAESTRO transforms a target program that uses bit-fields into a semantically equivalent one that does not use bit-fields. Also, MAESTRO supports symbolic function pointers by identifying the candidate functions of a symbolic function pointer through static analysis. Results MAESTRO achieved 94.2% branch coverage and 82.3% MC/DC coverage on the four target modules (238 KLOC) developed by Hyundai Mobis. Furthermore, it significantly reduced the cost of coverage testing by reducing the manual effort for coverage testing by 58.8%. Conclusion By applying automated testing techniques, MAESTRO can achieve high test coverage for automotive software with significantly reduced manual testing effort.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.