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.
| Originalsprache | Englisch |
|---|---|
| Titel | 26th International Conference on Advanced Information Systems Engineering (CAISE), Thessaloniki, Greece, June 16-20, 2014 |
| Verlag | Springer International Publishing |
| Seiten | 165-179 |
| Seitenumfang | 15 |
| Band | 8484 |
| ISBN (Print) | 978-3-319-07880-9 |
| DOIs | |
| Publikationsstatus | Veröffentlicht - Juni 2014 |
Publikationsreihe
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Band | 8484 LNCS |
| ISSN (Print) | 0302-9743 |
| ISSN (elektronisch) | 1611-3349 |
Wissenschaftszweige
- 102 Informatik
- 102009 Computersimulation
- 102015 Informationssysteme
- 102022 Softwareentwicklung
- 102026 Virtual Reality
- 202022 Informationstechnik
- 502050 Wirtschaftsinformatik
JKU-Schwerpunkte
- Computation in Informatics and Mathematics
- Management and Innovation
Projekte
- 1 Abgeschlossen
-
Product Line Engineering for Standard Software Customisations (PL4X)
Groher, I. (Forscher*in), Seyff, N. (Forscher*in) & Nöbauer, M. (Projektleiter*in)
01.01.2011 → 31.03.2014
Projekt: Geförderte Forschung › FFG - Österreichische Forschungsförderungsgesellschaft
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