Slrtool: a tool to support collaborative systematic literature reviews
Barn, Balbir ORCID: https://orcid.org/0000-0002-7251-5033, Raimondi, Franco
ORCID: https://orcid.org/0000-0002-9508-7713, Athiappan, Lalith and Clark, Tony
(2014)
Slrtool: a tool to support collaborative systematic literature reviews.
Proceedings of the 16th International Conference on Enterprise Information Systems, Volume 2.
In: ICEIS 2014 - 16th International Conference on Enterprise Information Systems, 27-30 Apr 2014, Lisbon, Portugal.
ISBN 9789897580284.
[Conference or Workshop Item]
(doi:10.5220/0004972204400447)
|
PDF
- Final accepted version (with author's formatting)
Download (1MB) | Preview |
Abstract
Systematic Literature Reviews (SLRs) are used in a number of fields to produce unbiased accounts of specific research topics. The SLR process is particularly well documented and regulated in the medical field, where it is accepted as the standard mechanism to assess, for instance, the benefits of drugs and treatments. SLRs and meta-analysis techniques are increasingly being used in other fields as well, from Social Sciences to Software Engineering.
Item Type: | Conference or Workshop Item (Paper) |
---|---|
Research Areas: | A. > School of Science and Technology > Computer Science |
Item ID: | 14668 |
Notes on copyright: | This is an author produced version of a conference paper included in this repository with permission from ICEIS secretariat. The final paper is published by SCITEPRESS as: S. Barn B., Raimondi F., Athappian L. and Clark T. (2014). Slrtool: A Tool to Support Collaborative Systematic Literature Reviews.In Proceedings of the 16th International Conference on Enterprise Information Systems ISBN 978-989-758-028-4, pages 440-447. DOI: 10.5220/0004972204400447 Copyright © 2014 SCITEPRESS (Science and Technology Publications, Lda.) |
Useful Links: | |
Depositing User: | Tony Clark |
Date Deposited: | 22 Apr 2015 13:02 |
Last Modified: | 29 Nov 2022 23:53 |
URI: | https://eprints.mdx.ac.uk/id/eprint/14668 |
Actions (login required)
![]() |
View Item |
Statistics
Additional statistics are available via IRStats2.