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International Journal on Software Tools for Technology Transfer
Article . 2019 . Peer-reviewed
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Quantitative variability modelling and analysis

Authors: ter Beek, Maurice H.; Legay, Axel; the 13th International Workshop;

Quantitative variability modelling and analysis

Abstract

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.

Keywords

Quantitative modeling, Variability, Quantitative analysis, Quantitative modelling, Software, Information Systems, QSPL

  • BIP!
    Impact byBIP!
    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%
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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).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
12
Top 10%
Average
Top 10%
Green