An approximate theory for value sensitivity

Barn, Balbir ORCID: and Barn, Ravinder (2015) An approximate theory for value sensitivity. 2015 IEEE/ACM 4th SEMAT Workshop on a General Theory of Software Engineering. In: 015 IEEE/ACM 4th SEMAT Workshop on a General Theory of Software Engineering, 18 May 2015, Florence. ISBN 9781467370523. [Conference or Workshop Item] (doi:10.1109/GTSE.2015.10)

PDF - Final accepted version (with author's formatting)
Download (170kB) | Preview


The software engineering community is on a quest for general and specific theories for the discipline. Increasingly, systems constructed for today’s hyper connected world are raising issues of security and privacy, both examples of value concerns. Hence there is a need to articulate a theory for value sensitivity that software engineers can draw upon to evaluate their designs and to embed outcomes into systems that are developed. This paper proposes an approximate theory of value sensitivity in recognition that this is a journey and an interim struggle. The theory is articulated using the framework proposed by Sjøberg et al. An initial evaluation is provided for both the value sensitivity theory and the framework.

Item Type: Conference or Workshop Item (Paper)
Additional Information: B. Barn and R. Barn, "An Approximate Theory for Value Sensitivity," 2015 IEEE/ACM 4th SEMAT Workshop on a General Theory of Software Engineering, Florence, 2015, pp. 25-28.
doi: 10.1109/GTSE.2015.10
Research Areas: A. > School of Science and Technology > Computer Science
Item ID: 16116
Notes on copyright: © 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Useful Links:
Depositing User: Balbir Barn
Date Deposited: 19 May 2015 11:06
Last Modified: 09 Jun 2021 18:46

Actions (login required)

View Item View Item


Activity Overview

Additional statistics are available via IRStats2.