Skip to main navigation Skip to search Skip to main content

Feature vectors for performance test case classification

  • Calvin G. Mangeni
  • , Suntae Kim*
  • , Rhan Jung
  • *Corresponding author for this work
    • Jeonbuk National University
    • Kangwon National University

    Research output: Contribution to conferenceConference paperpeer-review

    Abstract

    This paper proposes a feature-vector for characterizing performance test cases. The feature-vector is composed of six attributes such as use of thread, measuring elapsed time and counting successful and failed number of test cases. In order to identify the feature vector, we thoroughly examined the test cases from five open source projects and extracted performance cases. After then, we established the common feature vector discovered from the performance test cases, and analyzed distribution of the feature vector in the performance as well as general test cases to show the validity of the feature-vector.

    Original languageEnglish
    Title of host publicationAdvanced Multimedia and Ubiquitous Engineering - FutureTech and MUE
    EditorsHai Jin, Young-Sik Jeong, Muhammad Khurram Khan, James J. Park
    PublisherSpringer Verlag
    Pages421-427
    Number of pages7
    ISBN (Print)9789811015359
    DOIs
    StatePublished - 2016
    Event11th International Conference on Future Information Technology, FutureTech 2016 - Beijing, China
    Duration: 2016.04.202016.04.22

    Publication series

    NameLecture Notes in Electrical Engineering
    Volume393
    ISSN (Print)1876-1100
    ISSN (Electronic)1876-1119

    Conference

    Conference11th International Conference on Future Information Technology, FutureTech 2016
    Country/TerritoryChina
    CityBeijing
    Period16.04.2016.04.22

    Keywords

    • Feature vector
    • Performance testing
    • Test case

    Quacquarelli Symonds(QS) Subject Topics

    • Engineering - Mechanical

    Fingerprint

    Dive into the research topics of 'Feature vectors for performance test case classification'. Together they form a unique fingerprint.

    Cite this