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| Content Provider | ACM Digital Library |
|---|---|
| Author | Sinha, Purnendu Das, Dipankar Chakrabarti, P. P. |
| Abstract | While providing correct functionality has been the thrust of most software design efforts, embedded software poses several additional challenges. Among them is designing robust software which can tolerate inaccurate inputs (coming from degraded sensors), failure of software components, and wearing-out of electro-mechanical parts it controls. For this, a design space exploration is performed and several design options are evaluated for their ability to tolerate quality (or accuracy degradation) faults. While a model-based approach enables an early analysis of quality faults, modeling and analyzing the effects of quality faults is a challenge. In this work we propose a quality fault-tolerance analysis framework which is used on operation-level models of embedded software, and an abstraction of quality-faults suitable for this analysis. The proposed method consists of characterizing individual components of the model, and then using the pre-characterized behaviors to quickly evaluate the software design. Characterization is a one-time effort and results of the same can be reused when a new design is evaluated. This results in additional speedup of upto 6-10X faster evaluation of designs, thereby facilitating a quick early evaluation of design options. |
| Starting Page | 31 |
| Ending Page | 40 |
| Page Count | 10 |
| File Format | |
| ISBN | 9781450305594 |
| DOI | 10.1145/1953355.1953360 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2011-02-24 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Quality analysis Robust design Embedded software |
| Content Type | Text |
| Resource Type | Article |
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