Projects per year
Abstract
The notion of features is commonly used to describe the functional and non-functional characteristics of a system. In software product line engineering, features often become the prime entities of software reuse and are used to distinguish the individual products of a product line. Properly decomposing a product line into features, and correctly using features in all engineering phases, is core to the immediate and long-term success of such a system. Yet, although more than ten different definitions of the term feature exist, it is still a very abstract concept. Definitions lack concrete guidelines on how to use the notion of features in practice.
To address this gap, we present a qualitative empirical study on actual feature usage in industry. Our study covers three large companies and an in-depth, contextualized analysis of 23 features, perceived by the interviewees as typical, atypical (outlier), good, or bad representatives of features. Using structured interviews, we investigate the rationales that lead to a feature's perception, and identify and analyze core characteristics (facets) of these features. Among others, we find that good features precisely describe customer-relevant functionality, while bad features primarily arise from rashly executed processes. Outlier features, serving unusual purposes, are necessary, but do not require the full engineering process of typical features.
| Original language | English |
|---|---|
| Title of host publication | Proceedings 19th Int'l Software Product Line Conference, SPLC '15 |
| Publisher | ACM |
| Pages | 16-25 |
| Number of pages | 10 |
| ISBN (Electronic) | 9781450336130 |
| ISBN (Print) | 978-1-4503-3613-0 |
| DOIs | |
| Publication status | Published - 20 Jul 2015 |
Publication series
| Name | ACM International Conference Proceeding Series |
|---|---|
| Volume | 20-24-July-2015 |
Fields of science
- 102 Computer Sciences
- 102022 Software development
- 102025 Distributed systems
JKU Focus areas
- Computation in Informatics and Mathematics
- Engineering and Natural Sciences (in general)
Projects
- 2 Finished
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Christian Doppler Labor für Monitoring and Evolution of Very-Large-Scale Software Systems
Grünbacher, P. (PI)
01.02.2013 → 31.08.2020
Project: Funded research › CDG - Christian Doppler Forschungsgesellschaft
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Multi-Modeling and Evolution in Software Ecosystems (M02)
Angerer, F. (Researcher), Feichtinger, K. (Researcher), Filsecker, T. (Researcher), Grimmer, A. (Researcher), Hinterreiter, D. (Researcher), Linsbauer, L. (Researcher), Rabiser, D. (Researcher) & Grünbacher, P. (PI)
01.02.2013 → 30.06.2020
Project: Funded research › Other sponsors