The heterogeneity of mobile computing, cloud applications, multicore architectures, and other systems leads to increasing complexity of software and requires new approaches to programming languages and software engineering tools. To manage the complexity, we require generic solutions that can be adapted to specific application domains or use cases, making metaprogramming an important topic of research once more. However, the challenges with metaprogramming are still manifold. They start with fundamental issues such as typing of reflective programs, continue with practical concerns such as performance and tooling, and reach into the empirical field to understand how metaprogramming is used and how it affects software maintainability. Thus, while industry accepted metaprogramming on a wide scale with Ruby, Scala, JavaScript and others, academia still needs to answer a wide range of questions to bring it to the same level of convenience, tooling, and programming styles to cope with the increasing complexity of software systems.
This workshop aims to explore meta-level technologies that help tackling the heterogeneity, scalability and openness requirements of emerging computations platforms.
Submissions: | August 20, 2017 |
Notification: | September 6, 2017 |
Event: | October 22, 2017-October 22, 2017 |