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...
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...
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,...
Although there have been decades of research into how professional programmers debug, only recently has work begun to emerge about how end-user programmers attempt to debug their programs. Without understanding how end-user programmers approach debugging, we cannot build tools to adequately support their needs. To help fill this need, this...