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Similarity analysis within product line scoping: An evaluation of a semi-automatic approach


Nöbauer, Markus; Seyff, Norbert; Groher, Iris (2014). Similarity analysis within product line scoping: An evaluation of a semi-automatic approach. In: Jarke, Matthias; Mylopoulos, John; Quix, Christoph; Rolland, Colette; Manolopoulos, Yannis; Mouratidis, Haralambos; Horkoff, Jennifer. Advanced Information Systems Engineering. Cham: Springer International Publishing, 165-179.

Abstract

Abstract. Introducing a product line approach in an organization requires a systematic scoping phase to decide what products and features should be included. Product line scoping is a non-trivial activity and traditionally consumes a lot of time and resources. This issue highlights the need to complement traditional scoping activities with semi-automatic approaches that allow to initially estimate the potential for reuse with small efforts. In this paper we present an evaluation of a tool-supported approach that enables the semi-automatic analysis of existing products in order to calculate their similarity. This approach is tailored to be used within the configuration-based systems domain, where we have used it to identify similarity within two types of industrial standard software products. The results of this evaluation highlight that our approach provides accurate
results and leads to time savings compared to manual similarity analysis.

Abstract. Introducing a product line approach in an organization requires a systematic scoping phase to decide what products and features should be included. Product line scoping is a non-trivial activity and traditionally consumes a lot of time and resources. This issue highlights the need to complement traditional scoping activities with semi-automatic approaches that allow to initially estimate the potential for reuse with small efforts. In this paper we present an evaluation of a tool-supported approach that enables the semi-automatic analysis of existing products in order to calculate their similarity. This approach is tailored to be used within the configuration-based systems domain, where we have used it to identify similarity within two types of industrial standard software products. The results of this evaluation highlight that our approach provides accurate
results and leads to time savings compared to manual similarity analysis.

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Additional indexing

Item Type:Book Section, refereed, original work
Communities & Collections:03 Faculty of Economics > Department of Informatics
Dewey Decimal Classification:000 Computer science, knowledge & systems
Language:English
Date:2014
Deposited On:27 Oct 2014 16:59
Last Modified:05 Apr 2016 18:26
Publisher:Springer International Publishing
Series Name:Lecture Notes in Computer Science
Number:8484
ISBN:978-3-319-07880-9 (P) 978-3-319-07881-6 (E)
Publisher DOI:https://doi.org/10.1007/978-3-319-07881-6_12
Other Identification Number:merlin-id:10497
Permanent URL: https://doi.org/10.5167/uzh-99861

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