Article

ARMOR: Analyzer for Reducing Module Operational Risk

Authors:

M. R. Lu,

E. KeramidasAuthors Info & Claims

FTCS '95: Proceedings of the Twenty-Fifth International Symposium on Fault-Tolerant Computing

Page 137

Published: 27 June 1995 Publication History

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Abstract

Abstract: ARMOR (Analyzer for Reducing Module Operational Risk) is a software risk analysis tool which automatically identifies the operational risks of software program modules. ARMOR takes data directly from project database, failure database, and program development database, establishes risk models according to several risk analysis schemes, determines the risks of software programs, and displays various statistical quantities for project management and engineering decisions. Its enhanced user interface greatly simplifies the risk modeling procedures and the usage learning time. The tool can perform the following tasks during project development, testing, and operation: establish promising risk models for the project under evaluation; measure the risks of software programs within the project; identify the source of risks and indicate how to improve software programs to reduce their risk levels; and determine the validity of risk models from field data.

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Wong WQi YCooper KHaddad HOmicini AWainwright R(2005)Source code-based software risk assessingProceedings of the 2005 ACM symposium on Applied computing10.1145/1066677.1067014(1485-1490)Online publication date: 13-Mar-2005
https://dl.acm.org/doi/10.1145/1066677.1067014
Yacoub SAmmar H(2002)A Methodology for Architecture-Level Reliability Risk AnalysisIEEE Transactions on Software Engineering10.1109/TSE.2002.101005828:6(529-547)Online publication date: 1-Jun-2002
https://dl.acm.org/doi/10.1109/TSE.2002.1010058
El Emam KBenlarbi SGoel NRai S(2001)The Confounding Effect of Class Size on the Validity of Object-Oriented MetricsIEEE Transactions on Software Engineering10.1109/32.93585527:7(630-650)Online publication date: 1-Jul-2001
https://dl.acm.org/doi/10.1109/32.935855
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FTCS '95: Proceedings of the Twenty-Fifth International Symposium on Fault-Tolerant Computing

June 1995

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IEEE Computer Society

United States

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Published: 27 June 1995

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Wong WQi YCooper KHaddad HOmicini AWainwright R(2005)Source code-based software risk assessingProceedings of the 2005 ACM symposium on Applied computing10.1145/1066677.1067014(1485-1490)Online publication date: 13-Mar-2005
https://dl.acm.org/doi/10.1145/1066677.1067014
Yacoub SAmmar H(2002)A Methodology for Architecture-Level Reliability Risk AnalysisIEEE Transactions on Software Engineering10.1109/TSE.2002.101005828:6(529-547)Online publication date: 1-Jun-2002
https://dl.acm.org/doi/10.1109/TSE.2002.1010058
El Emam KBenlarbi SGoel NRai S(2001)The Confounding Effect of Class Size on the Validity of Object-Oriented MetricsIEEE Transactions on Software Engineering10.1109/32.93585527:7(630-650)Online publication date: 1-Jul-2001
https://dl.acm.org/doi/10.1109/32.935855
Khoshgoftaar TAllen EJones WHudepohl J(1999)Classification Tree Models of Software Quality Over Multiple ReleasesProceedings of the 10th International Symposium on Software Reliability Engineering10.5555/851020.856204Online publication date: 1-Nov-1999
https://dl.acm.org/doi/10.5555/851020.856204

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