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Content Provider | IEEE Xplore Digital Library |
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Author | Changyan Zhou Kumar, R. Shengbing Jiang |
Copyright Year | 2011 |
Description | Author affiliation: Magnatech LLC, East Granby, CT, USA (Changyan Zhou) || Dept. of Elec. & Comp. Eng., Iowa State Univ., Ames, IA, USA (Kumar, R.) || Gen. Motors R&D, Warren, MI, USA (Shengbing Jiang) |
Abstract | Software can contain faults that remain undetected prior to its release. It is then important to determine the plausible root-cause of fault, namely, the faulty lines of code, or indicators for any missing lines of code. To localize a software fault to its "root-cause", we introduce the notion of a fault-seed, a fragment of a faulty-run, and propose a model based automated approach that analyzes the observed faulty run of the software, recorded during its runtime operation, to determine the fault-seed. Owing to resource constraints in certain system such as embedded system, the run-time data logging can be incomplete, resulting in partial observation of software runs. A feature of our analysis is to localize the possible root cause in presence of such partial observability of data variables. |
Sponsorship | Control Syst. Soc. |
Starting Page | 5127 |
Ending Page | 5132 |
File Size | 222280 |
Page Count | 6 |
File Format | |
ISBN | 9781457700804 |
ISSN | 07431619 |
e-ISBN | 9781457700811 |
DOI | 10.1109/ACC.2011.5989966 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2011-06-29 |
Publisher Place | USA |
Access Restriction | Subscribed |
Rights Holder | American Automatic Control Council(AACC) |
Subject Keyword | Software Monitoring Computational modeling Radiation detectors Fault diagnosis Temperature sensors Software algorithms |
Content Type | Text |
Resource Type | Article |
Subject | Electrical and Electronic Engineering |
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