Doo-Hwan Bae

Doo-Hwan Bae

Korea Advanced Institute of Science and Technology

Professor

School of Computing

Research Area

  • #Computer science
  • #Data mining
  • #Software
  • #Artificial intelligence
  • #Machine learning
  • #Debugging
  • #Thread (computing)
  • #Parallel computing
  • #Engineering
  • #Empirical research

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Related papers to
‘ Computer science ‘ : 12

  • A Theoretical and Empirical Study of Diversity-Aware Mutation Adequacy Criterion

    2018/10

    4.8 Impact Factor

    13 citations

    Donghwan Shin, Shin Yoo, Doo-Hwan Bae

    DOI : 10.1109/TSE.2017.2732347

    • #Computer science
    • #Artificial intelligence
    • #Machine learning
    • #Sampling (statistics)
    • #Empirical research
    • #Correlation
    • #Fault detection and isolation
    • #Formal description
    • #Test suite
    • #Software testing
    • #Mutation testing

All papers authored by
‘ Doo-Hwan Bae ’ : 14

  • A Theoretical and Empirical Study of Diversity-Aware Mutation Adequacy Criterion

    2018/10
    IEEE TRANSACTIONS ON SOFTWARE ENGINEERING

    4.8 Impact Factor

    13 citations

    Donghwan Shin, Shin Yoo, Doo-Hwan Bae

    DOI : 10.1109/TSE.2017.2732347

    • #Computer science
    • #Artificial intelligence
    • #Machine learning
    • #Sampling (statistics)
    • #Empirical research
    • #Correlation
    • #Fault detection and isolation
    • #Formal description
    • #Test suite
    • #Software testing
    • #Mutation testing

Related papers to
‘ Computer science ‘ : 12

  • A Theoretical and Empirical Study of Diversity-Aware Mutation Adequacy Criterion

    2018/10
    IEEE TRANSACTIONS ON SOFTWARE ENGINEERING

    4.8 Impact Factor

    13 citations

    Donghwan Shin, Shin Yoo, Doo-Hwan Bae

    DOI : 10.1109/TSE.2017.2732347

    • #Computer science
    • #Artificial intelligence
    • #Machine learning
    • #Sampling (statistics)
    • #Empirical research
    • #Correlation
    • #Fault detection and isolation
    • #Formal description
    • #Test suite
    • #Software testing
    • #Mutation testing
  • Comparing model-based and dynamic event-extraction based GUI testing techniques

    2014/11
    JOURNAL OF SYSTEMS AND SOFTWARE

    1.4 Impact Factor

    12 citations

    Gigon Bae, Gregg Rothermel, Doo-Hwan Bae

    DOI : 10.1016/J.JSS.2014.06.039

    • #Computer science
    • #Data mining
    • #Test strategy
    • #Graphical user interface testing
    • #Model-based testing
    • #Software performance testing
    • #White-box testing
    • #Manual testing
    • #Non-regression testing
    • #Keyword-driven testing

Get access to
Contact information

Log in

All papers authored by
‘ Doo-Hwan Bae ’ : 14

  • A Theoretical and Empirical Study of Diversity-Aware Mutation Adequacy Criterion

    2018/10
    IEEE TRANSACTIONS ON SOFTWARE ENGINEERING

    4.8 Impact Factor

    13 citations

    Donghwan Shin, Shin Yoo, Doo-Hwan Bae

    DOI : 10.1109/TSE.2017.2732347

    • #Computer science
    • #Artificial intelligence
    • #Machine learning
    • #Sampling (statistics)
    • #Empirical research
    • #Correlation
    • #Fault detection and isolation
    • #Formal description
    • #Test suite
    • #Software testing
    • #Mutation testing
  • Comparing model-based and dynamic event-extraction based GUI testing techniques

    2014/11
    JOURNAL OF SYSTEMS AND SOFTWARE

    1.4 Impact Factor

    12 citations

    Gigon Bae, Gregg Rothermel, Doo-Hwan Bae

    DOI : 10.1016/J.JSS.2014.06.039

    • #Computer science
    • #Data mining
    • #Test strategy
    • #Graphical user interface testing
    • #Model-based testing
    • #Software performance testing
    • #White-box testing
    • #Manual testing
    • #Non-regression testing
    • #Keyword-driven testing

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