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Filtering by: Creator Durkina, Valentina B Remove constraint Creator: Durkina, Valentina B Contributor advisor sim Burnett, Margaret Remove constraint Contributor advisor sim: Burnett, Margaret Degree Name Master of Science (M.S.) Remove constraint Degree Name: Master of Science (M.S.)

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  • Complex patterns in gender HCI : a data mining study of factors leading to end-user debugging success for females and males

    Creator:
    Grigoreanu, Valentina I.
    Abstract:
    Most of the work so far in the subfield of Gender HCI has followed a theory-driven approach. Established theories, however, do not take into account specific issues that arise in end-user debugging. We suspected that there may be important information that we were overlooking. We therefore employed a methodology change:...
    Resource Type:
    Masters Thesis
    Full Text:
    OF THE THESIS OF Valentina Grigoreanu for the degree of Master of Science in Computer Science

  • Gender differences in end-user debugging strategies

    Creator:
    Narayanan, Vaishnavi
    Abstract:
    There has been little prior research reporting strategy usage in end-user problem solving, and even less using gender as a factor. Without this type of information, enduser programming systems cannot know the “target” at which to aim, if they are to support male and female end-user programmers’ debugging. As a...
    Resource Type:
    Masters Thesis
    Full Text:
    . Laura Beckwith, Neeraja Subrahmaniyan, Valentina Grigoreanu, Joey Lawrance and Flora Tan for their

  • The sum of its parts : investigating the component pieces of GenderMag

    Creator:
    Hill, Charles
    Abstract:
    Previous work introduced the GenderMag method, a software inspection method used to help software creators identify features within their software that are not gender-inclusive. Inclusiveness of software (gender or otherwise) matters because supporting diversity matters—it is well-known that the more diverse a group of problem-solvers, the higher the quality of...
    Resource Type:
    Masters Thesis
    Full Text:
    [67]. Reasons cited for these benefits are: (a) that personas focus issues [45], (b) they provide

  • Toward end-user debugging of machine-learned programs

    Creator:
    Kulesza, Todd
    Abstract:
    The results of a machine learning from user behavior can be thought of as a program, and like all programs, it may need to be debugged. Providing ways for the user to debug it matters because without the ability to fix errors, users may find that the learned program’s errors...
    Resource Type:
    Masters Thesis
    Full Text:
    have been similarly supportive, both in and out of the lab. In particular, Chris Bogart, Valentina

  • Supporting end-user debugging

    Creator:
    Kissinger, Cory
    Abstract:
    Although researchers have begun to explicitly support end-user programmers’ debugging by providing information to help them find bugs, there is little research addressing the right content to communicate to these users. The specific semantic content of these debugging communications matters because, if the users are not actually seeking the information...
    Resource Type:
    Masters Thesis
    Full Text:
    Subrahmaniyan and Dr. Sherry Yang. I would also like to thank Valentina Grigoreanu and Vaishnavi Narayanan for

  • Explaining debugging strategies to end-user programmers

    Creator:
    Subrahmaniyan, Neeraja
    Abstract:
    There has been little research into how end-user programming environments can provide explanations that could fill a critical information gap for end-user debuggers – help with debugging strategy. To address this need, we designed and prototyped a video-based approach for explaining debugging strategy, and accompanied it with a text-only approach....
    Resource Type:
    Masters Thesis
    Full Text:
    . My warm gratitude to all my research colleagues—Laura Beckwith, Valentina Grigoreanu, Joey