Risk analysis: a guiding force in the improvement of testing

The authors propose a state-based risk assessment methodology at the analysis and design stage of Software Development Life Cycle. First, a method is proposed to estimate the risk for various states of a component within a scenario and then, the risk for the whole scenario is estimated. The key data...

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Bibliographic Details
Published in:IET software Vol. 7; no. 1; pp. 29 - 46
Main Authors: Ray, Mitrabinda, Mohapatra, Durga Prasad
Format: Journal Article
Language:English
Published: Stevenage The Institution of Engineering and Technology 01.02.2013
John Wiley & Sons, Inc
Subjects:
Complexity
component severity
computational complexity
Computer programs
effect analysis
Estimates
fault trees
functional failure analysis
hazard techniques
inter-component state-dependence graph
interacting components
interaction overview diagram
libraries
library management system
life cycle costing
Methodology
program diagnostics
program testing
Risk
Risk analysis
Risk assessment
scenarios risks
Software
software development life cycle analysis
software development life cycle design stage
software development management
software failure mode
software fault tolerance
software fault tree analysis
software testing improvement
state collaboration test model
state complexity estimation
state-based risk assessment methodology
program testing
life cycle costing
software testing improvement
inter-component state-dependence graph
software development life cycle design stage
software failure mode
state complexity estimation
software development life cycle analysis
program diagnostics
software development management
libraries
fault trees
state collaboration test model
scenarios risks
software fault tolerance
risk analysis
functional failure analysis
component severity
software fault tree analysis
interacting components
library management system
hazard techniques
effect analysis
interaction overview diagram
computational complexity
state-based risk assessment methodology
ISSN:1751-8806, 1751-8814, 1751-8814
Online Access:Get full text
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Description
Summary:The authors propose a state-based risk assessment methodology at the analysis and design stage of Software Development Life Cycle. First, a method is proposed to estimate the risk for various states of a component within a scenario and then, the risk for the whole scenario is estimated. The key data needed for risk assessment are complexity and severity. An Inter-Component State-Dependence Graph is introduced to estimate the complexity for a state of a component within a system. The severity for a component within a scenario is decided based on three hazard techniques: Functional Failure Analysis, Software Failure Mode and Effect Analysis and Software Fault Tree Analysis. The risk for a scenario is estimated based on the risk of interacting components in various states within the scenario and State COllaboration TEst Model of the scenario. Finally, the system risk is estimated based on two inputs: scenarios risks and Interaction Overview Diagram of the system. The methodology is applied on a Library Management System case study. An experimental comparative analysis is performed and observed that the testing team guided by our state-based risk assessment approach achieves high test efficiency compared with it with an existing component-based risk assessment approach.
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ISSN:1751-8806
1751-8814
1751-8814
DOI:10.1049/iet-sen.2011.0081