EPIC: Profiling the Propagation and Effect of Data Errors in Software
IEEE Transactions on Computers
Putting Detectors in Their Place
SEFM '05 Proceedings of the Third IEEE International Conference on Software Engineering and Formal Methods
Time-Constraint-Aware Optimization of Assertions in Embedded Software
Journal of Electronic Testing: Theory and Applications
Reliability analysis reloaded: how will we survive?
Proceedings of the Conference on Design, Automation and Test in Europe
Verifying quantitative reliability for programs that execute on unreliable hardware
Proceedings of the 2013 ACM SIGPLAN international conference on Object oriented programming systems languages & applications
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An important aspect in the development of dependable software is to decide where to locate mechanisms for efficient error detection and recovery. We present a comparison between two methods for selecting locations for error detection mechanisms, in this case executable assertions (EA's), in black-box modular software. Our results show that by placing EA's based on error propagation analysis one may reduce the memory and execution time requirementsas compared to experience- and heuristic-based placement while maintaining the obtained detection coverage. Further, we show the sensitivity of the EA-provided coverage estimation on the choice of the underlying error model. Subsequently, we extend the analysis frameworksuch that error-model effects are also addressed and introduce measures for classifying signals according to their effect on system output when errors are present. The extendedframework facilitates profiling of software systems from varied dependability perspectives and is also less susceptible to the effects of having different error models for estimating detection coverage.