|Title||Lessons Learned on Assumptions and Scalability with Time-Aware Instrumentation|
|Publication Type||Conference Paper|
|Year of Publication||2016|
|Authors||Tchamgoue, G. Martin, and S. Fischmeister|
|Conference Name||International Conference on Embedded Software (EMSOFT)|
|Pagination||1 - 7|
|Conference Location||Pittsburgh, USA|
Software instrumentation is a key technique in many stages of the development process. Instrumentation is particularly important for proﬁling, debugging, performance evaluation, and security analysis of real-time and embedded systems. Unfortunately, typical software-based instrumentation methods, while useful to extract high-level information from programs, concentrate on preserving only logical correctness and are thus inadequate for time-sensitive applications for which timing must also be preserved. Time-aware instrumentation is a new view on code instrumentation, one that considers extra-functional properties and speciﬁcally timing constraints of instrumented programs. Time-aware instrumentation enables instrumenting software systems while still guaranteeing their timing requirements. This paper summarizes the work on time-aware instrumentation and highlights the lessons learned on assumptions and scalability. Speciﬁcally, it shows how strict assumptions enable a strong formal model at the expense of applicability. Subsequent relaxing of assumptions then permits scaling the concept and applying it to large real-word applications with millions lines of code. We believe that these lessons may help steer other research projects in the systems area.