Supporting the statistical analysis of variability models
R Heradio, D Fernández-Amorós… - 2019 IEEE/ACM 41st …, 2019 - ieeexplore.ieee.org
Variability models are broadly used to specify the configurable features of highly
customizable software. In practice, they can be large, defining thousands of features with
their dependencies and conflicts. In such cases, visualization techniques and automated
analysis support are crucial for understanding the models. This paper contributes to this line
of research by presenting a novel, probabilistic foundation for statistical reasoning about
variability models. Our approach not only provides a new way to visualize, describe and …
customizable software. In practice, they can be large, defining thousands of features with
their dependencies and conflicts. In such cases, visualization techniques and automated
analysis support are crucial for understanding the models. This paper contributes to this line
of research by presenting a novel, probabilistic foundation for statistical reasoning about
variability models. Our approach not only provides a new way to visualize, describe and …
Supporting the Statistical Analysis of Variability Models
C Mayr Dorn, A Egyed, R Heradio Gil… - 2019 - e-spacio.uned.es
Variability models are broadly used to specify the configurable features of highly
customizable software. In practice, they can be large, defining thousands of features with
their dependencies and conflicts. In such cases, visualization techniques and automated
analysis support are crucial for understanding the models. This paper contributes to this line
of research by presenting a novel, probabilistic foundation for statistical reasoning about
variability models. Our approach not only provides a new way to visualize, describe and …
customizable software. In practice, they can be large, defining thousands of features with
their dependencies and conflicts. In such cases, visualization techniques and automated
analysis support are crucial for understanding the models. This paper contributes to this line
of research by presenting a novel, probabilistic foundation for statistical reasoning about
variability models. Our approach not only provides a new way to visualize, describe and …
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