Similarity analysis within product line scoping: An evaluation of a semi-automatic approach
| Autor: | Iris Groher, Norbert Seyff, Markus Nöbauer |
|---|---|
| Přispěvatelé: | University of Zurich, Jarke, Matthias, Mylopoulos, John, Quix, Christoph, Rolland, Colette, Manolopoulos, Yannis, Mouratidis, Haralambos, Horkoff, Jennifer |
| Jazyk: | angličtina |
| Rok vydání: | 2014 |
| Předmět: |
business.industry
Computer science 10009 Department of Informatics Reuse 000 Computer science knowledge & systems computer.software_genre Domain (software engineering) Subject-matter expert Software Similarity (network science) Data mining 1700 General Computer Science Software product line business 2614 Theoretical Computer Science Enterprise resource planning computer Complement (set theory) |
| Zdroj: | Advanced Information Systems Engineering ISBN: 9783319078809 CAiSE |
| DOI: | 10.5167/uzh-99861 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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