Axiomatizing software test data adequacy
IEEE Transactions on Software Engineering
The evaluation of program-based software test data adequacy criteria
Communications of the ACM
Art of Software Testing
Simulation Modeling and Analysis
Simulation Modeling and Analysis
Software Verification and Validation: An Overview
IEEE Software
Fundamentals of Distributed System Observation
IEEE Software
An introduction to the testing and test control notation (TTCN-3)
Computer Networks: The International Journal of Computer and Telecommunications Networking - ITU-T system design languages (SDL)
Testing Grid Application Workflows Using TTCN-3
ICST '08 Proceedings of the 2008 International Conference on Software Testing, Verification, and Validation
An IMS Performance Benchmark Implementation based on the TTCN-3 Language
International Journal on Software Tools for Technology Transfer (STTT) - Special Section on Advances in Test Automation - the Evolution of TTCN-3
Distributed load tests with TTCN-3
TestCom'06 Proceedings of the 18th IFIP TC6/WG6.1 international conference on Testing of Communicating Systems
RAVEN --- boosting data analysis for the LHC experiments
PARA'10 Proceedings of the 10th international conference on Applied Parallel and Scientific Computing - Volume 2
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The Random Access, Visualization and Exploration Network (RAVEN) aims to allow for the storage, analysis and visualisation of peta-bytes of scientific data in (near) real-time. In essence, RAVEN is a huge distributed and parallel system. While testing of distributed systems, such as huge telecommunication systems, is well understood and performed systematically, testing of parallel systems, in particular high-performance computing, is currently lagging behind and is mainly based on ad-hoc approaches. This paper surveys the state of the art of software testing and investigates challenges of testing a distributed and parallel high-performance RAVEN system. While using the standardised Testing and Test Control Notation (TTCN-3) looks promising for testing networking and communication aspects of RAVEN, testing the visualisation and analysis aspects of RAVEN may open new frontiers.