Experiences in testing and analysing data intensive systems

Teemu Kanstrén

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

    5 Citations (Scopus)

    Abstract

    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.
    Original languageEnglish
    Title of host publication2017 IEEE International Conference on Software Quality, Reliability and Security Companion (QRS-C)
    PublisherInstitute of Electrical and Electronic Engineers IEEE
    Pages589-590
    Number of pages2
    ISBN (Electronic)978-1-5386-2072-4
    ISBN (Print)978-1-5386-2073-1
    DOIs
    Publication statusPublished - 7 Aug 2017
    MoE publication typeA4 Article in a conference publication
    EventIEEE International Conference on Software Quality, Reliability and Security Companion (QRS-C) - Prague, Czech Republic
    Duration: 25 Jul 201729 Jul 2017

    Conference

    ConferenceIEEE International Conference on Software Quality, Reliability and Security Companion (QRS-C)
    Abbreviated titleQRS-C
    CountryCzech Republic
    CityPrague
    Period25/07/1729/07/17

    Fingerprint

    Software testing
    Security of data
    Specifications
    Testing
    Big data
    Compliance

    Keywords

    • testing
    • security
    • software reliability
    • data models
    • big Data
    • software
    • analytics
    • reliability

    Cite this

    Kanstrén, T. (2017). Experiences in testing and analysing data intensive systems. In 2017 IEEE International Conference on Software Quality, Reliability and Security Companion (QRS-C) (pp. 589-590). [8004386] Institute of Electrical and Electronic Engineers IEEE. https://doi.org/10.1109/QRS-C.2017.107
    Kanstrén, Teemu. / Experiences in testing and analysing data intensive systems. 2017 IEEE International Conference on Software Quality, Reliability and Security Companion (QRS-C). Institute of Electrical and Electronic Engineers IEEE, 2017. pp. 589-590
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    Kanstrén, T 2017, Experiences in testing and analysing data intensive systems. in 2017 IEEE International Conference on Software Quality, Reliability and Security Companion (QRS-C)., 8004386, Institute of Electrical and Electronic Engineers IEEE, pp. 589-590, IEEE International Conference on Software Quality, Reliability and Security Companion (QRS-C), Prague, Czech Republic, 25/07/17. https://doi.org/10.1109/QRS-C.2017.107

    Experiences in testing and analysing data intensive systems. / Kanstrén, Teemu.

    2017 IEEE International Conference on Software Quality, Reliability and Security Companion (QRS-C). Institute of Electrical and Electronic Engineers IEEE, 2017. p. 589-590 8004386.

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

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    Kanstrén T. Experiences in testing and analysing data intensive systems. In 2017 IEEE International Conference on Software Quality, Reliability and Security Companion (QRS-C). Institute of Electrical and Electronic Engineers IEEE. 2017. p. 589-590. 8004386 https://doi.org/10.1109/QRS-C.2017.107