Blar i Institutt for industriell økonomi og teknologiledelse på forfatter "Tahvili, Sahar"

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    • A novel methodology to classify test cases using natural language processing and imbalanced learning 

      Tahvili, Sahar; Hatvani, Leo; Ramentol, Enislay; Pimentel, Rita; Afzal, Wasif; Herrera, Francisco (Peer reviewed; Journal article, 2020)
      Detecting the dependency between integration test cases plays a vital role in the area of software test optimization. Classifying test cases into two main classes – dependent and independent – can be employed for several ...

    • sOrTES: A Supportive Tool for Stochastic Scheduling of Manual Integration Test Cases 

      Tahvili, Sahar; Pimentel, Rita; Afzal, Wasif; Ahlberg, Marcus; Fornander, Eric; Bohlin, Markus (Peer reviewed; Journal article, 2019)
      The main goal of software testing is to detect as many hidden bugs as possible in the final software product before release. Generally, a software product is tested by executing a set of test cases, which can be performed ...