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Filtering by: Creator Anderson, Christopher Remove constraint Creator: Anderson, Christopher Academic Affiliation Electrical Engineering and Computer Science Remove constraint Academic Affiliation: Electrical Engineering and Computer Science

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  • Enhancing intelligent API tutors with information about how APIs are used in practice

    Creator:
    Krishnamoorthy, Vasanth
    Abstract:
    Application Programming Interfaces (APIs) enable software developers to utilize and create functionality that would otherwise take a lot of time and effort to build from scratch. Consequently, an essential part of software engineering training is for students to learn how to use APIs effectively. The existing jTutors system enables an...
    Resource Type:
    Capstone Project
    Full Text:
    Christopher Scaffidi Application Programming Interfaces (APIs) enable software developers to utilize and

  • jTutors: A Web-Based Tutoring System for Java APIs

    Creator:
    Dahotre, Aniket
    Abstract:
    For building robust software applications, it is important for the software engineer to make efficient use of the available building blocks. Learning the basic language constructs is only the first step in this process. It is becoming increasingly important for software engineers, especially students, to get acquainted with the available...
    Resource Type:
    Capstone Project
    Full Text:
    . Abstract approved: ______________________________________________________ Christopher Scaffidi For

  • Mapping Software Development Tool Design to Information Foraging Theory

    Creator:
    Nabi, Md Tahmid-un
    Abstract:
    The design of programming tools is slow and costly. To ease this process, we have developed a design pattern catalog aimed at providing guidance about how to design tools for developers. This guidance is grounded in Information Foraging Theory (IFT), which empirical studies have shown to be useful for understanding...
    Resource Type:
    Masters Thesis
    Full Text:
    approved: ______________________________________________________ Christopher P. Scaffidi The

  • The InclusiveMag Method: A Start Towards More Inclusive Software for Diverse Populations

    Creator:
    Mendez, Christopher
    Abstract:
    How can software practitioners assess whether their software supports diverse users? Although there are empirical processes that can be used to find “inclusivity bugs” piecemeal, what is often needed is a systematic inspection method to assess software’s support for diverse populations. To help fill this gap, this thesis introduces InclusiveMag,...
    Resource Type:
    Masters Thesis
    Full Text:
    Christopher Mendez for the degree of Master of Science in Computer Science presented on March 2, 2020

  • 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:
    Modelers for Evaluation and Debugging AN ABSTRACT OF THE DISSERTATION OF Christopher Bogart for the

  • A Study on the Effect of Non-Traditional Demographic Populations in an Undergraduate Computer Science Course

    Creator:
    Kawell, Christopher L.
    Abstract:
    There is a significant amount of research analyzing the effect of race, gender, and other common demographical data on student interest and performance in computer science. However, there is relatively little research concerning less common demographic populations, such as introverts, artistic students, and visual learners. This study investigates if these...
    Resource Type:
    Masters Thesis
    Full Text:
    THESIS OF Christopher Kawell for the degree of Master of Science in Computer Science presented on

  • Explanations and Information Foraging in Real-Time Strategy Games

    Creator:
    Penney, Sean J.
    Abstract:
    Assessing and understanding intelligent agents can be a difficult task for users who may lack an artificial intelligence (AI) background. A relatively new area, called “explainable AI,” is emerging to help address this problem, but little is known about how to present and structure information that an explanation system might...
    Resource Type:
    Masters Thesis
    Full Text:
    Dodge, Andrew Anderson, and Claudia Hilderbrand have been an amazing team for our explainable

  • Analysis of Learning Schemes for Power Systems Secure Control

    Creator:
    Lassetter, Carter
    Abstract:
    As the future electrical power systems tend towards smarter and greener technology, thedeployment of self-sufficient networks, or microgrids, becomes more likely. Microgridsmay operate on their own or synchronized with the main grid, thus control methodsneed to take into account islanding and reconnecting said networks. Isolation of subnetworks may be necessary...
    Resource Type:
    Masters Thesis

  • SocioEconomicMag Meets a Platform for SES-Diverse College Students: A Case Study

    Creator:
    Agarwal, Puja
    Abstract:
    Emerging research shows that individual differences in how people use technology sometimes cluster by socioeconomic status (SES) and that when technology is not socioeconomically inclusive, low-SES individuals may abandon it. To understand how to improve technology’s SES-inclusivity, we present a multi-phase case study on SocioEconomicMag (SESMag), an emerging inspection method...
    Resource Type:
    Masters Thesis
    Full Text:
    push myself beyond my limits every day. I would thank Prof. Christopher Hundhausen and Prof. J Nicole

  • 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:
    [Anderson, 1993], with IFT-derived predictions and found their cognitive model also matched human users