Similarity Analysis within Product Line Scoping: An Evaluation of a Semi-Automatic Approach

Markus Nöbauer, Norbert Seyff, Iris Groher

Research output: Chapter in Book/Report/Conference proceedingConference proceedingspeer-review

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.
Original languageEnglish
Title of host publication26th International Conference on Advanced Information Systems Engineering (CAISE), Thessaloniki, Greece, June 16-20, 2014
PublisherSpringer International Publishing
Pages165-179
Number of pages15
Volume8484
ISBN (Print)978-3-319-07880-9
DOIs
Publication statusPublished - Jun 2014

Publication series

NameLecture Notes in Computer Science (LNCS)

Fields of science

  • 102 Computer Sciences
  • 102009 Computer simulation
  • 102015 Information systems
  • 102022 Software development
  • 102026 Virtual reality
  • 202022 Information technology
  • 502050 Business informatics

JKU Focus areas

  • Computation in Informatics and Mathematics
  • Management and Innovation

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