Quantitative system performance: computer system analysis using queueing network models
Quantitative system performance: computer system analysis using queueing network models
The Unified Modeling Language user guide
The Unified Modeling Language user guide
Real-time UML (2nd ed.): developing efficient objects for embedded systems
Real-time UML (2nd ed.): developing efficient objects for embedded systems
Proceedings of the 2nd international workshop on Software and performance
A pattern-based approach to model software performance
Proceedings of the 2nd international workshop on Software and performance
Performance solutions: a practical guide to creating responsive, scalable software
Performance solutions: a practical guide to creating responsive, scalable software
Designing Concurrent, Distributed, and Real-Time Applications with Uml
Designing Concurrent, Distributed, and Real-Time Applications with Uml
Performance Engineering of Software Systems
Performance Engineering of Software Systems
A Methodology for Architecture-Level Reliability Risk Analysis
IEEE Transactions on Software Engineering
From UML sequence diagrams and statecharts to analysable petri net models
WOSP '02 Proceedings of the 3rd international workshop on Software and performance
XSLT transformation from UML models to LQN performance models
WOSP '02 Proceedings of the 3rd international workshop on Software and performance
PRIMA-UML: a performance validation incremental methodology on early UML diagrams
Science of Computer Programming - Special issue on unified modeling language (UML 2000)
Architecture-Based Performance Analysis Applied to a Telecommunication System
IEEE Transactions on Software Engineering
Deriving Software Performance Models from Architectural Patterns by Graph Transformations
TAGT'98 Selected papers from the 6th International Workshop on Theory and Application of Graph Transformations
Hazard Analysis in Object Oriented Design of Dependable Systems
DSN '01 Proceedings of the 2001 International Conference on Dependable Systems and Networks (formerly: FTCS)
From UML activity diagrams to Stochastic Petri nets: application to software performance engineering
WOSP '04 Proceedings of the 4th international workshop on Software and performance
Architectural-Level Risk Analysis Using UML
IEEE Transactions on Software Engineering
QoS Assessment via Stochastic Analysis
IEEE Internet Computing
Using model-based security analysis in component-oriented system development
Proceedings of the 2nd ACM workshop on Quality of protection
A survey of component based system quality assurance and assessment
Information and Software Technology
FMECA control for software development
COMPSAC-W'05 Proceedings of the 29th annual international conference on Computer software and applications conference
Security based survivability risk analysis with extended HQPN
Proceedings of the 5th International Conference on Ubiquitous Information Management and Communication
Applying a model-based approach to IT systems development using SysML extension
Proceedings of the 14th international conference on Model driven engineering languages and systems
Risk assessment of e-commerce projects using evidential reasoning
FSKD'06 Proceedings of the Third international conference on Fuzzy Systems and Knowledge Discovery
Elicitation of non-functional requirement preference for actors of usecase from domain model
PKAW'06 Proceedings of the 9th Pacific Rim Knowledge Acquisition international conference on Advances in Knowledge Acquisition and Management
Empirical evidence on OCL formal specification-based metrics as a predictor of fault-proneness
ACM SIGSOFT Software Engineering Notes
Hi-index | 0.01 |
Performance is a nonfunctional software attribute that plays a crucial role in wide application domains spreading from safety-critical systems to e-commerce applications. Software risk can be quantified as a combination of the probability that a software system may fail and the severity of the damages caused by the failure. In this paper, we devise a methodology for estimation of performance-based risk factor, which originates from violations of performance requirements (namely, performance failures). The methodology elaborates annotated UML diagrams to estimate the performance failure probability and combines it with the failure severity estimate which is obtained using the Functional Failure Analysis. We are thus able to determine risky scenarios as well as risky software components, and the analysis feedback can be used to improve the software design. We illustrate the methodology on an e-commerce case study using step-by-step approach and then provide a brief description of a case study based on large real system.