Using binary strings for comparing products from software-intensive systems product lines

Mike Mannion; Hermann Kaindl

doi:10.5220/0010441002570266

Using binary strings for comparing products from software-intensive systems product lines

Mike Mannion, Hermann Kaindl

School of Computing, Engineering and Built Environment

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

4 Downloads (Pure)

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.

Original language	English
Title of host publication	Proceedings of 23rd International Conference on Enterprise Information Systems
Editors	Joaquim Filipe, Michal Smialek, Alexander Brodsky, Slimane Hammoudi
Place of Publication	Prague
Publisher	SciTePress
Pages	257-266
Number of pages	10
Volume	2
ISBN (Print)	9789897585098
DOIs	https://doi.org/10.5220/0010441002570266
Publication status	Published - 28 Apr 2021

Publication series

Name
ISSN (Print)	2184-4992

Keywords

product line, string similarity, metrics

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Documents and Links

10.5220/0010441002570266

Mannion, M. & Kaindl, H. (2021) Using binary strings for comparing products from software-intensive systems product lines
© 2021 SciTePress. This is the accepted author manuscript of the paper: 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, pages 257-266. DOI: 10.5220/0010441002570266
Author accepted manuscript, 261 KB

Cite this

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Using binary strings for comparing products from software-intensive systems product lines. / Mannion, Mike; Kaindl, Hermann.

Proceedings of 23rd International Conference on Enterprise Information Systems . ed. / Joaquim Filipe; Michal Smialek; Alexander Brodsky; Slimane Hammoudi. Vol. 2 Prague : SciTePress, 2021. p. 257-266.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AB - 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.

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Using binary strings for comparing products from software-intensive systems product lines

Abstract

Publication series

Keywords

UN SDGs

Documents and Links

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Cite this