Open-source research software (Wilhelm Hasselbring et al., IEEE Computer)

I’m happy to report that the ninth article in the open source column of IEEE Computer has been published.

TitleOpen Source Research Software
KeywordsOpen Source Software, Scientific Computing, Software Engineering, Artificial Intelligence, Licenses
AuthorsWilhelm Hasselbring, Leslie Carr, Simon Hettrick, Heather Packer, and Thanassis Tiropanis
PublicationComputer vol. 53, no. 8 (August 2020), pp 84-88

Abstract: Reports on the need to make make software open source. It should be both archived for reproducibility and actively maintained for reusability. In computational and computer science, research software is a central asset for development activities. For good scientific practice, the resulting research software should be open source. Established open source software licenses provide sufficient options for granting permissions such that it should be the rare exception to keep research software closed. Proper engineering is required for obtaining reusable and sustainable research software. This way, software engineering methods may improve research in other disciplines. However, research in software engineering and computer science itself will also benefit when programs are reused. To study the state of the art in this field, we analyzed research software publishing practices in computer and computational science and observed significant differences: computational science emphasizes reproducibility, while computer science emphasizes reuse.

As always, the article is freely available (local copy).

Also, check out the full list of articles.

Posted on

Comments

Leave a Reply

This site uses Akismet to reduce spam. Learn how your comment data is processed.

Share the Joy

Share on LinkedIn

Share by email

Share on Twitter / X

Share on WhatsApp

Featured Startups

QDAcity makes qualitative research and qualitative data analysis fun and easy.
EDITIVE makes inter- and intra-company document collaboration more effective.

Featured Projects

Making free and open data easy, safe, and reliable to use
Bringing business intelligence to engineering management
Making open source in products easy, safe, and fun to use