Software testing and evaluation
Software testing and evaluation
Data networks
Software reliability: measurement, prediction, application
Software reliability: measurement, prediction, application
Software testing techniques (2nd ed.)
Software testing techniques (2nd ed.)
Probability and Statistics with Reliability, Queuing and Computer Science Applications
Probability and Statistics with Reliability, Queuing and Computer Science Applications
Theory, Volume 1, Queueing Systems
Theory, Volume 1, Queueing Systems
Generating test suites for software load testing
ISSTA '94 Proceedings of the 1994 ACM SIGSOFT international symposium on Software testing and analysis
Using the consequence of failures for testing and reliability assessment
SIGSOFT '95 Proceedings of the 3rd ACM SIGSOFT symposium on Foundations of software engineering
Towards a structural load testing tool
ISSTA '96 Proceedings of the 1996 ACM SIGSOFT international symposium on Software testing and analysis
Using failure cost information for testing and reliability assessment
ACM Transactions on Software Engineering and Methodology (TOSEM)
The Automatic Generation of Load Test Suites and the Assessment of the Resulting Software
IEEE Transactions on Software Engineering
Enforcing quality of service of distributed objects
ISSRE '97 Proceedings of the Eighth International Symposium on Software Reliability Engineering
Ensuring stable performance for systems that degrade
Proceedings of the 5th international workshop on Software and performance
Automatic feedback, control-based, stress and load testing
Proceedings of the 2008 ACM symposium on Applied computing
Reliability estimation for large distributed software systems
CASCON '08 Proceedings of the 2008 conference of the center for advanced studies on collaborative research: meeting of minds
Profiling the operational behavior of OS device drivers
Empirical Software Engineering
Improving robustness testing of COTS OS extensions
ISAS'06 Proceedings of the Third international conference on Service Availability
Performance problem diagnostics by systematic experimentation
Proceedings of the 18th international doctoral symposium on Components and architecture
Supporting swift reaction: automatically uncovering performance problems by systematic experiments
Proceedings of the 2013 International Conference on Software Engineering
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In this paper we introduce a new load testing technique called Deterministic Markov State Testing and report on its application. Our approach is called “deterministic” because the sequence of test case execution is set at planning time, and “state testing” because each test case certifies a unique software state. There are four main advantages of Deterministic Markov State Testing for system testers: provision of precise software state information for root cause analysis in load test, accommodation for limitations of the system test lab configuration, higher acceleration ratios in system test, and simple management of distributed execution of test cases. System testers using the proposed method have great flexibility in dealing with common system test problems: limited access to the system test environment, unstable software, or changing operational conditions. Because each test case verifies correct execution on a path from the idle state to the software state under test, our method does not require the continuous execution of all test cases. Deterministic Markov State Testing is operational-profile-based, and allows for measurement of software reliability robustness when the operational profile changes.