The 26th ACM International Systems and Software Product Line Conference (SPLC)

The following is a list of topics of interest to SPLC, but we also invite submissions to related topics. If in doubt, feel free to ask the track chairs (see below).

AI: genetic algorithms, neural networks, and machine learning for product lines
Architecture, design, and visualization of product lines
Dynamic software product lines, reconfigurable systems, (self-)adaptive systems
Evolution, maintenance, and continuous integration for product lines (e.g., DevOps)
Formal methods and SPL verification techniques (e.g., program analysis, model checking)
Green and sustainable technologies for variation
Human, organizational and social aspects of product lines (e.g., BPM, collaborative modeling and development, cooperative configuration processes, economics, program comprehension)
Language product lines, and domain-specific and programming languages for product lines
Multi product lines, program families, product lines of product lines, software ecosystems
Non-functional properties: modeling, analysis, and optimization (e.g., performance, energy)
Reverse engineering, variability mining and refactoring (e.g., migration from clone-and-own)
Recommender systems for configurators and feature models (e.g., CSP/SAT/SMT solvers)
Specification and modeling of SPL (e.g., domain-specific modeling, model-driven engineering)
Testing product lines (e.g., product sampling, test-case selection and prioritization, mutations)
Variability management and variability modeling (e.g., feature models, decision models)