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Found 3 essays matching the above criteria.

  1. 1. Active learning for text classification in cyber security

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Amanda Carp; [2023]
    Keywords : Interactive machine learning; Active learning; Cost-effective active learning; Cyber environment; Interaktiv maskininlärning; Aktiv inlärning; Kostnadseffektiv aktiv inlärning; Cyberdomänen;

    Abstract : In the domain of cyber security, machine learning promises advanced threat detection. However, the volume of available unlabeled data poses challenges for efficient data management. This study investigates the potential for active learning, a subset of interactive machine learning, to reduce the effort required for manual data labelling. READ MORE

  2. 2. Mining and comparing software testing metrics and evaluating the use of different test quality metric tools

    University essay from Göteborgs universitet/Institutionen för data- och informationsteknik

    Author : Mattias Ekdahl; Simon Engström; [2022-09-28]
    Keywords : test quality metrics; mutation testing; mining software repositories; code coverage; test diversity;

    Abstract : Software test metrics are often compared with one another to find the most accurate predictor of test quality, however little is written about the connections between types of metrics. Moreover, open-source software is more commonly used to extract these test metrics, but the issues researchers face when attempting to use them is under-reported. READ MORE

  3. 3. Evaluating the Trade-offs of Diversity-Based Test Prioritization: An Experiment

    University essay from Göteborgs universitet/Institutionen för data- och informationsteknik

    Author : Ranim Khojah; Chi Hong Chao; [2020-12-03]
    Keywords : Diversity-based testing; Test Case Prioritization; Natural Language Processing NLP ; Level of Testing LoT ;

    Abstract : Different test prioritization techniques detect faults at earlier stages of test execution. To this end, Diversity-based techniques (DBT) have been cost-effective by prioritizing the most dissimilar test cases to maintain effectiveness and coverage with lower resources at different stages of the software development life cycle, called levels of testing (LoT). READ MORE