How do scientists develop and use scientific software?
(2009) ICSE Workshop on Software Engineering for Computational Science and Engineering, SECSE 2009 p.1-8- Abstract
- New knowledge in science and engineering relies increasingly on results produced by scientific software. Therefore, knowing how scientists develop and use software in their research is critical to assessing the necessity for improving current development practices and to making decisions about the future allocation of resources. To that end, this paper presents the results of a survey conducted online in October-December 2008 which received almost 2000 responses. Our main conclusions are that (1) the knowledge required to develop and use scientific software is primarily acquired from peers and through self-study, rather than from formal education and training; (2) the number of scientists using supercomputers is small compared to the... (More)
- New knowledge in science and engineering relies increasingly on results produced by scientific software. Therefore, knowing how scientists develop and use software in their research is critical to assessing the necessity for improving current development practices and to making decisions about the future allocation of resources. To that end, this paper presents the results of a survey conducted online in October-December 2008 which received almost 2000 responses. Our main conclusions are that (1) the knowledge required to develop and use scientific software is primarily acquired from peers and through self-study, rather than from formal education and training; (2) the number of scientists using supercomputers is small compared to the number using desktop or intermediate computers; (3) most scientists rely primarily on software with a large user base; (4) while many scientists believe that software testing is important, a smaller number believe they have sufficient understanding about testing concepts; and (5) that there is a tendency for scientists to rank standard software engineering concepts higher if they work in large software development projects and teams, but that there is no uniform trend of association between rank of importance of software engineering concepts and project/team size. © 2009 IEEE. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/1662724
- author
- Hannay, Jo Erskine ; Langtangen, Hans Petter ; MacLeod, Carolyn ; Pfahl, Dietmar LU ; Singer, Janice and Wilson, Greg
- publishing date
- 2009
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- keywords
- Standardization, Software testing, Resource allocation, Formal education, Engineering concepts, Science and engineering, Making decision, Scientific softwares, Software development projects, Standard software, Computer science, Supercomputers, Computer software selection and evaluation, Knowledge engineering, Engineering, Formal methods
- host publication
- [Host publication title missing]
- pages
- 1 - 8
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- conference name
- ICSE Workshop on Software Engineering for Computational Science and Engineering, SECSE 2009
- conference dates
- 2009-05-16 - 2009-05-24
- external identifiers
-
- scopus:70349904776
- ISBN
- 9781424437375
- DOI
- 10.1109/SECSE.2009.5069155
- language
- English
- LU publication?
- no
- id
- c9ba5601-eb79-4728-811c-2d3183e85a26 (old id 1662724)
- date added to LUP
- 2016-04-04 11:36:31
- date last changed
- 2022-04-24 00:40:53
@inproceedings{c9ba5601-eb79-4728-811c-2d3183e85a26,
abstract = {{New knowledge in science and engineering relies increasingly on results produced by scientific software. Therefore, knowing how scientists develop and use software in their research is critical to assessing the necessity for improving current development practices and to making decisions about the future allocation of resources. To that end, this paper presents the results of a survey conducted online in October-December 2008 which received almost 2000 responses. Our main conclusions are that (1) the knowledge required to develop and use scientific software is primarily acquired from peers and through self-study, rather than from formal education and training; (2) the number of scientists using supercomputers is small compared to the number using desktop or intermediate computers; (3) most scientists rely primarily on software with a large user base; (4) while many scientists believe that software testing is important, a smaller number believe they have sufficient understanding about testing concepts; and (5) that there is a tendency for scientists to rank standard software engineering concepts higher if they work in large software development projects and teams, but that there is no uniform trend of association between rank of importance of software engineering concepts and project/team size. © 2009 IEEE.}},
author = {{Hannay, Jo Erskine and Langtangen, Hans Petter and MacLeod, Carolyn and Pfahl, Dietmar and Singer, Janice and Wilson, Greg}},
booktitle = {{[Host publication title missing]}},
isbn = {{9781424437375}},
keywords = {{Standardization; Software testing; Resource allocation; Formal education; Engineering concepts; Science and engineering; Making decision; Scientific softwares; Software development projects; Standard software; Computer science; Supercomputers; Computer software selection and evaluation; Knowledge engineering; Engineering; Formal methods}},
language = {{eng}},
pages = {{1--8}},
publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
title = {{How do scientists develop and use scientific software?}},
url = {{http://dx.doi.org/10.1109/SECSE.2009.5069155}},
doi = {{10.1109/SECSE.2009.5069155}},
year = {{2009}},
}