
Over the last decade, the explicit introduction and management of variability in the development cycle of (software) systems has led to a plethora of modelling and analysis techniques tailored to deal with such highly configurable (variational) systems. Most of the work on Variability Modelling and Analysis, however, focusses on qualitative (i.e. functional) requirements. This Special Section of the Foundations for Mastering Change track of the International Journal on Software Tools for Technology Transfer on Quantitative Variability Modelling and Analysis aims to provide a comprehensive overview of the latest approaches to Variability Modelling and Analysis techniques which specifically take quantities into account. In this paper, we first introduce Quantitative Variability Modelling and Analysis, after which we briefly describe the contents of the six papers that constitute this Special Section.
Quantitative modeling, Variability, Quantitative analysis, Quantitative modelling, Software, Information Systems, QSPL
Quantitative modeling, Variability, Quantitative analysis, Quantitative modelling, Software, Information Systems, QSPL
| citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 12 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
