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Filtering by: Creator Gandhi, Kalpesh K. Remove constraint Creator: Gandhi, Kalpesh K. Decade 2010-2019 Remove constraint Decade: 2010-2019 Degree Field Computer Science Remove constraint Degree Field: Computer Science

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  • On the limits of mutation analysis

    Creator:
    Gopinath, Rahul
    Abstract:
    Mutation analysis is the gold standard for evaluating test-suite adequacy. It involves exhaustive seeding of all small faults in a program and evaluating the effectiveness of test suites in detecting these faults. Mutation analysis subsumes numerous structural coverage criteria, approximates fault detection capability of test suites, and the faults produced...
    Resource Type:
    Dissertation
    Full Text:
    – The composite fault hypothesis: Tests detecting a fault in isolation will (with probability K ≈ 99

  • Helping end-user programmers help themselves : the idea garden approach

    Creator:
    Cao, Chen
    Abstract:
    End-user programmers face many barriers in programming. Research has seen many programming environments that attempted to lower or remove the barriers but despite these efforts, empirical studies continue to report barriers users face. To investigate this issue, we took a theory-informed approach. Using theories from design, creativity, and problem solving...
    Resource Type:
    Dissertation

  • Helping end-user programmers find and fix performance problems in visual code

    Creator:
    Chambers, Chris
    Abstract:
    End-user programmers often struggle to create programs that run quickly and effectively, which can be a major deterrent in completing their tasks as desired. Current research has primarily focused on catching user mistakes, such as errors or misused formulas. However, end users deal with issues other than just correctness. In...
    Resource Type:
    Dissertation