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Content Provider | ACM Digital Library |
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Author | Fischmeister, Sebastian Tchamgoue, Guy Martin |
Abstract | 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. |
Starting Page | 1 |
Ending Page | 7 |
Page Count | 7 |
File Format | |
ISBN | 9781450344852 |
DOI | 10.1145/2968478.2975584 |
Language | English |
Publisher | Association for Computing Machinery (ACM) |
Publisher Date | 2016-10-01 |
Publisher Place | New York |
Access Restriction | Subscribed |
Subject Keyword | Debugging Instrumentation Tracing |
Content Type | Text |
Resource Type | Article |
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