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On the placement of software mechanisms for detection of data errors

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On the placement of software mechanisms for detection of data errors. / Hiller, M.; Jhumka, A.; Suri, Neeraj.

Proceedings International Conference on Dependable Systems and Networks. 2002. p. 135-144.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Harvard

Hiller, M, Jhumka, A & Suri, N 2002, On the placement of software mechanisms for detection of data errors. in Proceedings International Conference on Dependable Systems and Networks. pp. 135-144. https://doi.org/10.1109/DSN.2002.1028894

APA

Hiller, M., Jhumka, A., & Suri, N. (2002). On the placement of software mechanisms for detection of data errors. In Proceedings International Conference on Dependable Systems and Networks (pp. 135-144) https://doi.org/10.1109/DSN.2002.1028894

Vancouver

Hiller M, Jhumka A, Suri N. On the placement of software mechanisms for detection of data errors. In Proceedings International Conference on Dependable Systems and Networks. 2002. p. 135-144 doi: 10.1109/DSN.2002.1028894

Author

Hiller, M. ; Jhumka, A. ; Suri, Neeraj. / On the placement of software mechanisms for detection of data errors. Proceedings International Conference on Dependable Systems and Networks. 2002. pp. 135-144

Bibtex

@inproceedings{3255a0ad1b7f4b2e8bfa7bf41273d82a,
title = "On the placement of software mechanisms for detection of data errors",
abstract = "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 requirements as 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 framework such 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 extended framework 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.",
keywords = "Black box modular software, Data errors, Error model effects, Error propagation analysis, Computer simulation, Computer system recovery, Data storage equipment, Error analysis, Error detection, Heuristic methods, Software engineering",
author = "M. Hiller and A. Jhumka and Neeraj Suri",
year = "2002",
month = jun,
day = "23",
doi = "10.1109/DSN.2002.1028894",
language = "English",
isbn = "0769515975",
pages = "135--144",
booktitle = "Proceedings International Conference on Dependable Systems and Networks",

}

RIS

TY - GEN

T1 - On the placement of software mechanisms for detection of data errors

AU - Hiller, M.

AU - Jhumka, A.

AU - Suri, Neeraj

PY - 2002/6/23

Y1 - 2002/6/23

N2 - 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 requirements as 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 framework such 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 extended framework 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.

AB - 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 requirements as 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 framework such 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 extended framework 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.

KW - Black box modular software

KW - Data errors

KW - Error model effects

KW - Error propagation analysis

KW - Computer simulation

KW - Computer system recovery

KW - Data storage equipment

KW - Error analysis

KW - Error detection

KW - Heuristic methods

KW - Software engineering

U2 - 10.1109/DSN.2002.1028894

DO - 10.1109/DSN.2002.1028894

M3 - Conference contribution/Paper

SN - 0769515975

SN - 0769511015

SP - 135

EP - 144

BT - Proceedings International Conference on Dependable Systems and Networks

ER -