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Filtering by: Subject Debugging in computer science Remove constraint Subject: Debugging in computer science Degree Name Doctor of Philosophy (Ph.D.) Remove constraint Degree Name: Doctor of Philosophy (Ph.D.)

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  • An investigation of the on-line debugging process of expert and novice student programmers

    Creator:
    Nanja, Murthi
    Abstract:
    Debugging, the process of locating and correcting errors in a computer program, is a common programming task that is not well understood. Of the several debugging studies reported in the literature, most compared the performance differences between expert and novice programmers by measuring their debug time and the number of...
    Resource Type:
    Dissertation
    Full Text:
    Doctor of Philosophy in Computer Science presented on January 18. 1988. Title: An Investigation of the

  • 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:
    degree of Doctor of Philosophy in Computer Science presented on June 7, 2013. Title: Eliciting

  • Variational Typing and Its Applications

    Creator:
    Chen, Sheng
    Abstract:
    The study of variational typing originated from the problem of type inference for variational programs, which encode numerous different but related plain programs. In this dissertation, I present a sound and complete type inference algorithm for inferring types of all plain programs encoded in variational programs. The proposed algorithm runs...
    Resource Type:
    Dissertation
    Full Text:
    ABSTRACT OF THE DISSERTATION OF Sheng Chen for the degree of Doctor of Philosophy in Computer Science

  • An investigation of the relationship between cognitive style and the diagnostic skills of novice COBOL student programmers

    Creator:
    Cavaiani, Thomas P.
    Abstract:
    For the past thirty years the majority of the research on the cognitive demands of learning computer programming has assumed that successful computer programmers display certain aptitudes. Some researchers indicate that studies linking different prerequisite profiles of abilities to different programming outcomes are needed. Such research might dispel many of...
    Resource Type:
    Dissertation

  • Information Foraging Theory as a Unifying Foundation for Software Engineering Research : Connecting the Dots

    Creator:
    Piorkowski, David
    Abstract:
    Empirical studies have shown that programmers spend up to one-third of their time navigating through code during debugging. Although researchers have conducted empirical studies to understand programmers’ navigation difficulties and developed tools to address those difficulties, the resulting findings tend to be loosely connected to each other. To address this...
    Resource Type:
    Dissertation
    Full Text:
    Computer Science pre- sented on August 10, 2016. Title: Information Foraging Theory as a Unifying

  • Understanding and supporting end-user debugging strategies

    Creator:
    Grigoreanu, Valentina I.
    Abstract:
    End users' programs are fraught with errors, costing companies millions of dollars. One reason may be that researchers and tool designers have not yet focused on end-user debugging strategies. To investigate this possibility, this dissertation presents eight empirical studies and a new strategy-based end-user debugging tool for Excel, called StratCel....
    Resource Type:
    Dissertation
    Full Text:
    Valentina I. Grigoreanu for the degree of Doctor of Philosophy in Computer Science presented on December 1

  • 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:
    Computer Science presented on June 12, 2009. Title: Information Foraging in Debugging

  • Personalizing machine learning systems with explanatory debugging

    Creator:
    Kulesza, Todd
    Abstract:
    How can end users efficiently influence the predictions that machine learning systems make on their behalf? Traditional systems rely on users to provide examples of how they want the learning system to behave, but this is not always practical for the user, nor efficient for the learning system. This dissertation...
    Resource Type:
    Dissertation
    Full Text:
    work presented in this dissertation lies at the intersection of two fields of computer science: human

  • The Architecture of a Reusable Built-In Self-Test for Link Training, IO and Memory Defect Detection and Auto Repair on 14nm Intel SOC

    Creator:
    Querbach, Bruce
    Abstract:
    The complexity of designing and testing today's system on chip (SOC) is increasing due to greater integrated circuit (IC) density and higher IO and memory frequencies. SOCs for the mobile phone and tablet market have the unique challenge of short product development windows, at times less than six months, and...
    Resource Type:
    Dissertation
    Full Text:
    Querbach for the degree of Doctor of Philosophy in Electrical and Computer Engineering presented on June

  • Gender differences in learning physical science concepts : does computer animation help equalize them?

    Creator:
    Jacek, Laura Lee
    Abstract:
    This dissertation details an experiment designed to identify gender differences in learning using three experimental treatments: animation, static graphics, and verbal instruction alone. Three learning presentations were used in testing of 332 university students. Statistical analysis was performed using ANOVA, binomial tests for differences of proportion, and descriptive statistics. Results...
    Resource Type:
    Dissertation