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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 Language English [eng] Remove constraint Language: English [eng]

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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

  • Fixing Inclusivity Bugs: Information Processing Styles and Learning Styles

    Creator:
    Steine-Hanson, Zoe K.
    Abstract:
    Most software systems today do not support cognitive diversity. Further, because of differences in problem-solving styles that cluster by gender, software that poorly supports cognitive diversity can also embed gender biases. To help software professionals fix gender bias “bugs” related to people’s problem-solving styles for information processing and learning of...
    Resource Type:
    Honors College Thesis
    Full Text:
    ? ......................................................................................................................................................2 B Information Processing Style (InfoProc Style

  • 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

  • Information foraging in debugging

    Creator:
    Lawrance, Joseph A.
    Abstract:
    Programmers spend a substantial fraction of their debugging time by navigating through source code, yet little is known about how programmers navigate. With the continuing growth in size and complexity of software, this fraction of time is likely to increase, which presents challenges to those seeking both to understand and...
    Resource Type:
    Dissertation
    Full Text:
    (Paul Cull, Carlos Jensen, Christine Wallace, Surabh Setia, Valentina Grigoreanu, Stephen

  • 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

  • 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
    Full Text:
    Adams, Rachel White, Forrest Bice, Valentina Grigoreanu, Kyle Rector, and Thomas H. Park. Your efforts

  • Eliciting informal specifications from scientific modelers for evaluation and debugging

    Creator:
    Bogart, Christopher
    Abstract:
    Professional software engineers have an arsenal of techniques such as unit testing and assertions to check their specifications, but these techniques require tools, motivation, experience and training that programmers without professional software engineering training may not have. As a result, professionals in other fields, such as scientific modelers, face greater...
    Resource Type:
    Dissertation
    Full Text:
    collaboration and advice: Scott Fleming, Irwin Kwan, Jill Cao, Valentina Grigoreanu, Todd Kulesza, Faezeh