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Testing software-intensive systems, for us, has traditionally focused on verifying and validating compliance and conformance to specification, as well as some general non-functional requirements such as performance of different components. In recent years, we have seen a strong move towards more data intensive systems. We have found that these types of systems require a different approach for testing and analysis, moving more towards exploring the system, its elements, behaviour and properties from a big data and analytics perspective. This paper summarizes our experiences in building and developing test and analytics environments for evaluating the performance, reliability, and security of such data-intensive systems.
|Title of host publication||2017 IEEE International Conference on Software Quality, Reliability and Security Companion (QRS-C)|
|Publisher||IEEE Institute of Electrical and Electronic Engineers|
|Publication status||Published - 7 Aug 2017|
|MoE publication type||A4 Article in a conference publication|
|Event||IEEE International Conference on Software Quality, Reliability and Security Companion (QRS-C) - Prague, Czech Republic|
Duration: 25 Jul 2017 → 29 Jul 2017
|Conference||IEEE International Conference on Software Quality, Reliability and Security Companion (QRS-C)|
|Period||25/07/17 → 29/07/17|
- software reliability
- data models
- big Data
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