Index Catalog // ScholarsArchive@OSU

Creator:: Chatterjee, Amreeta, Guizani, Mariam, Stevens, Catherine, Emard, Jillian, May, Mary Evelyn, Burnett, Margaret, Ahmed, Iftekhar, and Sarma, Anita
Abstract:: The tools and infrastructure used in tech, including Open Source Software (OSS), can embed “inclusivity bugs”—features that disproportionately disadvantage particular groups of contributors. To see whether OSS developers have existing practices to ward off such bugs, we surveyed 266 OSS developers. Our results show that a majority (77%) of developers...
Resource Type:: Conference Proceeding

Creator:: Guizani, Mariam, Steinmacher, Igor, Emard, Jillian, Fallatah, Abrar, Burnett, Margaret, and Sarma, Anita
Abstract:: Background: Although some previous research has found ways to find inclusivity bugs (biases in software that introduce inequities among cognitively diverse individuals), little attention has been paid to how to go about fixing such bugs. We hypothesized that Information Architecture (IA)--the way information is organized, structured and labeled--may provide the...
Resource Type:: Research Paper

Creator:: Mendez, Christopher, Pedala, Hema Susmita, Steine-Hanson, Zoe, Hilderbrand, Claudia, Horvath, Amber, Hill, Charles, Simpson, Logan, Patil, Nupoor, Sarma, Anita, and Burnett, Margaret
Abstract:: Software (OSS) communities and that women disproportionately experience such barriers. However, this research has focused mainly on social/cultural factors, ignoring the environment itself — the tools and infrastructure. To shed some light onto how tools and infrastructure might somehow factor into OSS barriers to entry, we conducted a field study...
Resource Type:: Technical Report

Creator:: Groce, Alex, Kulesza, Todd, Zhang, Chaoqiang, Shamasunder, Shalini, Burnett, Margaret, Wong, Weng-Keen, Stumpf, Simone, Das, Shubhomoy, Shinsel, Amber, Bice, Forrest, and McIntosh, Kevin
Abstract:: How do you test a program when only a single user, with no expertise in software testing, is able to determine if the program is performing correctly? Such programs are common today in the form of machine-learned classifiers. We consider the problem of testing this common kind of machine-generated program...
Resource Type:: Article

Creator:: Fleming, Scott D., Scaffidi, Chris, Piorkowski, David, Burnett, Margaret, Bellamy, Rachel, Lawrance, Joseph, and Kwan, Irwin
Abstract:: Theories of human behavior are an important but largely untapped resource for software engineering research. They facilitate understanding of human developers’ needs and activities, and thus can serve as a valuable resource to researchers designing software engineering tools. Furthermore, theories abstract beyond specific methods and tools to fundamental principles that...
Resource Type:: Article

Creator:: Lawrance, Joseph, Bogart, Christopher, Burnett, Margaret, Bellamy, Rachel, Rector, Kyle, and Fleming, Scott D.
Abstract:: Many theories of human debugging rely on complex mental constructs that offer little practical advice to builders of software engineering tools. Although hypotheses are important in debugging, a theory of navigation adds more practical value to our understanding of how programmers debug. Therefore, in this paper, we reconsider how people...
Resource Type:: Article

Creator:: Oberst, Ian, Moore, Travis, Wong, Weng-Keen, Kulesza, Todd, Stumpf, Simone, Riche, Yann, and Burnett, Margaret
Abstract:: Intelligent user interfaces, such as recommender systems and email classifiers, use machine learning algorithms to customize their behavior to the preferences of an end user. Although these learning systems are somewhat reliable, they are not perfectly accurate. Traditionally, end users who need to correct these learning systems can only provide...
Resource Type:: Technical Report

Creator:: Grigoreanu, Valentina I., Burnett, Margaret, and Robertson, George
Abstract:: End-user programmers’ code is notoriously buggy. This problem is amplified by the increasing complexity of end users’ programs. To help end users catch errors early and reliably, we employ a novel approach for the design of end-user debugging tools: a focus on supporting end users’ effective debugging strategies. This paper...
Resource Type:: Technical Report

Creator:: Kulesza, Todd, Stumpf, Simone, Riche, Yann, Burnett, Margaret, Wong, Weng-Keen, Oberst, Ian, Moor, Travis, McIntosh, Kevin, and Bice, Forrest
Abstract:: Many applications include machine learning algorithms intended to learn “programs” (rules of behavior) from an end user’s actions. When these learned programs are wrong, their users receive little explanation as to why, and even less freedom of expression to help the machine learn from its mistakes. In this paper, we...
Resource Type:: Technical Report

Creator:: Grigoreanu, Valentina I., Burnett, Margaret, and Robertson, George
Abstract:: End-user programmers’ code (e.g., accountants’ spreadsheet formulas) is fraught with errors. To help mitigate this problem, end-user software engineering research is becoming established. However, most of this work has focused on feature usage, rather than debugging strategies. If a debugging tool were to support end-user programmers’ specific debugging strategy needs,...
Resource Type:: Technical Report

ScholarsArchive@OSU