SPLC 2021 : International Systems and Software Product Line Conference

in Conferences   Posted on February 18, 2021 

Conference Information

Submission Deadline Friday 16 Apr 2021 Proceedings indexed by :
Conference Dates Sep 6, 2021 - Sep 11, 2021
Conference Address Leicester, United Kingdom
Conference & Submission Link http://splc2021.net/
Conference Organizers : ( Deadline extended ? Click here to edit )

Conference Ranking & Metrics (This is a TOP Conference)

Impact Score 2.15
#Contributing Top Scientists 19
#Papers published by Top Scientists 42
Google Scholar H5-index 0
Number of Editions: 25
Guide2Research Overall Ranking: 444
Category Rankings
Software Engineering & Programming 107

Conference Call for Papers

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)

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