VaryVary is a 4-year research project that aims to explore the use of artificial intelligence (including machine learning) for playing with software variability present in almost all real-world systems.
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Talk at Embedded Linux Conference Europe 2019
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Most influential paper award at SLE 2019
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Tutorial, workshops, paper, and organization at SPLC 2019
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Course at EJCP 2019 about Software Variability and Artificial Intelligence
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Survey about Learning Software Configuration Spaces
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Multimorphic Testing at Deep Test
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Variability in the Video Domain
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Juliana and Hugo at FOSD meeting
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3D Printing, Machine Learning, and Variability at VaMoS
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Uniform Sampling for Configurable Systems
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Tutorial at ASE 2018 Re-engineering Software Variability into Software Product Lines
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MASES at ASE'18: Workshop about Machine Learning and Software Engineering
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Course at EJCP about Software Variability and Artificial Intelligence
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Open positions in Machine Learning and Software Variability
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Welcome to VaryVary!
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