Clafer: Lightweight Modeling of Structure, Behaviour, and Variability
July 23, 2018 ยท Declared Dead ยท ๐ The Art, Science, and Engineering of Programming
"No code URL or promise found in abstract"
Evidence collected by the PWNC Scanner
Authors
Paulius Juodisius, Atrisha Sarkar, Raghava Rao Mukkamala, Michal Antkiewicz, Krzysztof Czarnecki, Andrzej Wasowski
arXiv ID
1807.08576
Category
cs.PL: Programming Languages
Cross-listed
cs.SE
Citations
29
Venue
The Art, Science, and Engineering of Programming
Last Checked
1 month ago
Abstract
Embedded software is growing fast in size and complexity, leading to intimate mixture of complex architectures and complex control. Consequently, software specification requires modeling both structures and behaviour of systems. Unfortunately, existing languages do not integrate these aspects well, usually prioritizing one of them. It is common to develop a separate language for each of these facets. In this paper, we contribute Clafer: a small language that attempts to tackle this challenge. It combines rich structural modeling with state of the art behavioural formalisms. We are not aware of any other modeling language that seamlessly combines these facets common to system and software modeling. We show how Clafer, in a single unified syntax and semantics, allows capturing feature models (variability), component models, discrete control models (automata) and variability encompassing all these aspects. The language is built on top of first order logic with quantifiers over basic entities (for modeling structures) combined with linear temporal logic (for modeling behaviour). On top of this semantic foundation we build a simple but expressive syntax, enriched with carefully selected syntactic expansions that cover hierarchical modeling, associations, automata, scenarios, and Dwyer's property patterns. We evaluate Clafer using a power window case study, and comparing it against other notations that substantially overlap with its scope (SysML, AADL, Temporal OCL and Live Sequence Charts), discussing benefits and perils of using a single notation for the purpose.
Community Contributions
Found the code? Know the venue? Think something is wrong? Let us know!
๐ Similar Papers
In the same crypt โ Programming Languages
R.I.P.
๐ป
Ghosted
R.I.P.
๐ป
Ghosted
Tensor Comprehensions: Framework-Agnostic High-Performance Machine Learning Abstractions
R.I.P.
๐ป
Ghosted
Glow: Graph Lowering Compiler Techniques for Neural Networks
R.I.P.
๐ป
Ghosted
Learnable Programming: Blocks and Beyond
R.I.P.
๐ป
Ghosted
Scenic: A Language for Scenario Specification and Scene Generation
R.I.P.
๐ป
Ghosted
Vandal: A Scalable Security Analysis Framework for Smart Contracts
Died the same way โ ๐ป Ghosted
R.I.P.
๐ป
Ghosted
Language Models are Few-Shot Learners
R.I.P.
๐ป
Ghosted
PyTorch: An Imperative Style, High-Performance Deep Learning Library
R.I.P.
๐ป
Ghosted
XGBoost: A Scalable Tree Boosting System
R.I.P.
๐ป
Ghosted