1 citations · 2 across the 6 of their papers we have counts for
6 papers
Long-Term Productivity Based on Science, not Preference
Spencer Smith, Jacques Carette
This position paper argues that decisions on processes, tools, techniques and software artifacts (such as user manuals, unit tests, design documents and code) for scientific softwa…
Methodology for Assessing the State of the Practice for Domain X
Spencer Smith, Jacques Carette, Peter Michalski +2
To improve software development methods and tools for research software, we first need to understand the current state of the practice. Therefore, we have developed a methodology f…
Long-term Productivity for Long-term Impact
Spencer Smith, Jacques Carette
We present a new conceptual definition of 'productivity' for sustainably developing research software. Existing definitions are flawed as they are short-term biased, thus devaluing…
Building Confidence in Scientific Computing Software Via Assurance Cases
Spencer Smith, Mojdeh Sayari Nejad, Alan Wassyng
Assurance cases provide an organized and explicit argument for correctness. They can dramatically improve the certification of Scientific Computing Software (SCS). Assurance cases…
Debunking the Myth that Upfront Requirements are Infeasible for Scientific Computing Software
Spencer Smith, Malavika Srinivasan, Sumanth Shankar
Many in the Scientific Computing Software community believe that upfront requirements are impossible, or at least infeasible. This paper shows requirements are feasible with the fo…
Statistical Software for Psychology: Comparing Development Practices Between CRAN and Other Communities
Spencer Smith, Yue Sun, Jacques Carette
Different communities rely heavily on software, but use quite different software development practices. {\bf Objective}: We wanted to measure the state of the practice in the area…