Error propagation in software architectures

W. Abdelmoez; D. M. Nassar; M. Shereshevsky; N. Gradetsky; R. Gunnalan; H. H. Ammar; Bo Yu; Ali Mili

doi:10.1109/METRIC.2004.1357923

Error propagation in software architectures

W. Abdelmoez, D. M. Nassar, M. Shereshevsky, N. Gradetsky, R. Gunnalan, H. H. Ammar, Bo Yu, Ali Mili

Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

80 Scopus citations

Abstract

The study of software architectures is emerging as an important discipline in software engineering, due to its emphasis on large scale composition of software products, and its support for emerging software engineering paradigms suck as product line engineering, component based software engineering, and software evolution. Architectural attributes differ from code-level software attributes in that they focus on the level of components and connectors, and that they are meaningful for an architecture. In this paper, we focus on a specific architectural attribute, which is the error propagation probability throughout the architecture, i.e. the probability that an error that arises in one component propagates to other components. We introduce, analyze, and validate formulas for estimating these probabilities using architectural level information.

Original language	English (US)
Title of host publication	Proceedings - 10th International Symposium on Software Metrics, METRICS 2004
Pages	384-393
Number of pages	10
DOIs	https://doi.org/10.1109/METRIC.2004.1357923
State	Published - Dec 1 2004
Event	Proceedings - 10th International Symposium on Software Metrics, METRICS 2004 - Chicago, IL, United States Duration: Sep 14 2004 → Sep 16 2004

Other

Other	Proceedings - 10th International Symposium on Software Metrics, METRICS 2004
Country/Territory	United States
City	Chicago, IL
Period	9/14/04 → 9/16/04

All Science Journal Classification (ASJC) codes

Engineering(all)

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10.1109/METRIC.2004.1357923

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title = "Error propagation in software architectures",

abstract = "The study of software architectures is emerging as an important discipline in software engineering, due to its emphasis on large scale composition of software products, and its support for emerging software engineering paradigms suck as product line engineering, component based software engineering, and software evolution. Architectural attributes differ from code-level software attributes in that they focus on the level of components and connectors, and that they are meaningful for an architecture. In this paper, we focus on a specific architectural attribute, which is the error propagation probability throughout the architecture, i.e. the probability that an error that arises in one component propagates to other components. We introduce, analyze, and validate formulas for estimating these probabilities using architectural level information.",

author = "W. Abdelmoez and Nassar, {D. M.} and M. Shereshevsky and N. Gradetsky and R. Gunnalan and Ammar, {H. H.} and Bo Yu and Ali Mili",

year = "2004",

month = dec,

day = "1",

doi = "10.1109/METRIC.2004.1357923",

language = "English (US)",

isbn = "0769521290",

pages = "384--393",

booktitle = "Proceedings - 10th International Symposium on Software Metrics, METRICS 2004",

note = "Proceedings - 10th International Symposium on Software Metrics, METRICS 2004 ; Conference date: 14-09-2004 Through 16-09-2004",

}

Abdelmoez, W, Nassar, DM, Shereshevsky, M, Gradetsky, N, Gunnalan, R, Ammar, HH, Yu, B & Mili, A 2004, Error propagation in software architectures. in Proceedings - 10th International Symposium on Software Metrics, METRICS 2004. pp. 384-393, Proceedings - 10th International Symposium on Software Metrics, METRICS 2004, Chicago, IL, United States, 9/14/04. https://doi.org/10.1109/METRIC.2004.1357923

TY - GEN

T1 - Error propagation in software architectures

AU - Abdelmoez, W.

AU - Nassar, D. M.

AU - Shereshevsky, M.

AU - Gradetsky, N.

AU - Gunnalan, R.

AU - Ammar, H. H.

AU - Yu, Bo

AU - Mili, Ali

PY - 2004/12/1

Y1 - 2004/12/1

N2 - The study of software architectures is emerging as an important discipline in software engineering, due to its emphasis on large scale composition of software products, and its support for emerging software engineering paradigms suck as product line engineering, component based software engineering, and software evolution. Architectural attributes differ from code-level software attributes in that they focus on the level of components and connectors, and that they are meaningful for an architecture. In this paper, we focus on a specific architectural attribute, which is the error propagation probability throughout the architecture, i.e. the probability that an error that arises in one component propagates to other components. We introduce, analyze, and validate formulas for estimating these probabilities using architectural level information.

AB - The study of software architectures is emerging as an important discipline in software engineering, due to its emphasis on large scale composition of software products, and its support for emerging software engineering paradigms suck as product line engineering, component based software engineering, and software evolution. Architectural attributes differ from code-level software attributes in that they focus on the level of components and connectors, and that they are meaningful for an architecture. In this paper, we focus on a specific architectural attribute, which is the error propagation probability throughout the architecture, i.e. the probability that an error that arises in one component propagates to other components. We introduce, analyze, and validate formulas for estimating these probabilities using architectural level information.

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DO - 10.1109/METRIC.2004.1357923

M3 - Conference contribution

AN - SCOPUS:14844309366

SN - 0769521290

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EP - 393

BT - Proceedings - 10th International Symposium on Software Metrics, METRICS 2004

T2 - Proceedings - 10th International Symposium on Software Metrics, METRICS 2004

Y2 - 14 September 2004 through 16 September 2004

ER -

Error propagation in software architectures

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