This event is a part of the "Best Practices for HPC Software Developers" webinar series, produced by the IDEAS Productivity Project. The HPC Best Practices webinars address issues faced by developers of computational science and engineering (CSE) software on high-performance computers (HPC) and occur approximately monthly.
| Resource Information | Details |
|---|---|
| Webinar Title | Testing and Code Review Practices in Research Software Development |
| Date and Time | 2020-09-09 01:00 pm EDT |
| Presenter | Nasir Eisty (California Polytechnic State University, San Luis, Obispo) |
| Registration, Information, and Archives | https://ideas-productivity.org/resources/series/hpc-best-practices-webinars/#webinar044 |
Webinars are free and open to the public, but advance registration is required through the Event website. Archives (recording, slides, Q&A) will be posted at the same link soon after the event.
Abstract
Software quality in a research context is essential because research software is used in mission-critical situations, decision making, and computation of evidence for research publications. This webinar will cover the use of two software quality practices in the development of research software: software testing and peer code review. These practices in software development can lead to both improved scientific results through higher quality software in the short term and more maintainable software in the long term. While these practices are essential for any type of software, developers of research software typically do not use peer code review and software testing as frequently as they could for maximum impact. The presenter will discuss the motivation, challenges, barriers, and necessary improvements to make the practices effective for research software development, based on studies of the research software community conducted via interviews, surveys, workshops, and tutorials.
Presenter Bio
Nasir Eisty is an assistant professor in the Computer Science and Software Engineering Department of California Polytechnic State University, San Luis, Obispo, CA. He received his Ph.D. degree in Computer Science from the University of Alabama in Spring 2020. His research interests lie in the area of Empirical Software Engineering, Software Quality, and Research Software Engineering. Dr. Eisty has prior experience working at the Los Alamos National Lab (LANL) and National Center for Supercomputing Applications (NCSA). He also has experience in presenting tutorials and organizing workshops at different conferences. He received a BSSw (Better Scientific Software) 2020 fellow award from the Department of Energy (DOE).
