GPCE 2016 - International Conference on Generative Programming: Concepts & Experience (GPCE'16)

Generative and component approaches and domain-specific abstractions are revolutionizing software development just as automation and componentization revolutionized manufacturing. Raising the level of abstraction in software specification has been a fundamental goal of the computing community for several decades. Key technologies for automating program development and lifting the abstraction level closer to the problem domain are Generative Programming for program synthesis, Domain-Specific Languages (DSLs) for compact problem-oriented programming notations, and corresponding Implementation Technologies aiming at modularity, correctness, reuse, and evolution. As the field matures Applications and Empirical Results are of increasing importance.
The International Conference on Generative Programming: Concepts & Experiences (GPCE) is a venue for researchers and practitioners interested in techniques that use program generation, domain-specific languages, and component deployment to increase programmer productivity, improve software quality, and shorten the time-to-market of software products. In addition to exploring cutting-edge techniques of generative software, our goal is to foster further cross-fertilization between the software engineering and the programming languages research communities.
Topics of Interest
GPCE seeks contributions on all topics related to generative software and its properties. As technology is maturing and sophisticated but increasingly complex applications and services are realized in a variety of application areas (e.g., Cloud Computing, Mobile Computing, Internet of Things, Cyber Physical Systems, Software Defined Networking, etc), this year, we are particularly looking for empirical evaluations in this context. Key topics include (but are certainly not limited too):
Generative software
Domain-specific languages (language extension, language embedding, language design, language theory, language workbenches, interpreters, compilers)
Product lines (domain engineering, feature-oriented and aspect-oriented programming, preprocessors, feature interactions)
Metaprogramming (reflection, staging, partial evaluation)
Program synthesis
Implementation techniques and tool support (components, plug-ins, libraries, metaprogramming, macros, templates, generic programming, run-time code generation, model-driven development, composition tools, code-completion and code-recommendation systems)
Practical applications and empirical evaluations
Empirical evaluations of all topics above (user studies, substantial case studies, controlled experiments, surveys, rigorous measurements)
Application areas and engineering practice (Cloud Computing, Mobile Computing, High Performance Computing, Internet of Things, Cyber Physical Systems, Software Defined Networking, Patterns and Middleware, Reactive Programming, Development methods, etc)
Properties of generative software
Correctness of generators and generated code (analysis, testing, formal methods, domain-specific error messages, safety, security)
Reuse and evolution
Modularity, separation of concerns, understandability, and maintainability
Performance engineering, nonfunctional properties (program optimization and parallelization, GPGPUs, multicore, footprint, metrics)
We particularly welcome papers that address some of the key challenges in field, for example
Synthesizing code from declarative specifications
Supporting extensible languages and language embedding
Ensuring correctness and other nonfunctional properties of generated code; proving generators correct
Improving error reporting with domain-specific error messages
Reasoning about generators; handling variability-induced complexity in product lines
Providing efficient interpreters and execution languages
Human factors in developing and maintaining generators