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Authors: Mike Mannion 1 and Hermann Kaindl 2

Affiliations: 1 Department of Computing, Glasgow Caledonian University, 70 Cowcaddens Road, Glasgow, G4 0BA, U.K. ; 2 Institute for Computer Technology, TU Wien, Gußhausstr. 27-29, A-1040, Vienna, Austria

Keyword(s): Product Line, String Similarity, Metrics.

Abstract: The volume, variety and velocity of products in software-intensive systems product lines is increasing. One challenge is to understand the range of similarity between products to evaluate its impact on product line management. This paper contributes to product line management by presenting a product similarity evaluation process in which (i) a product configured from a product line feature model is represented as a weighted binary string (ii) the overall similarity between products is compared using the Jaccard Coefficient similarity metric (iii) the significance of individual features and feature combinations to product similarity is explored by modifying the weights. We propose a method for automatically allocating weights to features depending on their position in a product line feature model, although we do not claim that this allocation method nor the use of the Jaccard Coefficient is optimal. We illustrate our ideas with mobile phone worked examples.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Mannion, M. and Kaindl, H. (2021). Using Binary Strings for Comparing Products from Software-intensive Systems Product Lines. In Proceedings of the 23rd International Conference on Enterprise Information Systems - Volume 2: ICEIS; ISBN 978-989-758-509-8; ISSN 2184-4992, SciTePress, pages 257-266. DOI: 10.5220/0010441002570266

@conference{iceis21,
author={Mike Mannion. and Hermann Kaindl.},
title={Using Binary Strings for Comparing Products from Software-intensive Systems Product Lines},
booktitle={Proceedings of the 23rd International Conference on Enterprise Information Systems - Volume 2: ICEIS},
year={2021},
pages={257-266},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010441002570266},
isbn={978-989-758-509-8},
issn={2184-4992},
}

TY - CONF

JO - Proceedings of the 23rd International Conference on Enterprise Information Systems - Volume 2: ICEIS
TI - Using Binary Strings for Comparing Products from Software-intensive Systems Product Lines
SN - 978-989-758-509-8
IS - 2184-4992
AU - Mannion, M.
AU - Kaindl, H.
PY - 2021
SP - 257
EP - 266
DO - 10.5220/0010441002570266
PB - SciTePress

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