Older programming languages, like Java and C++ are not suited for "rapid application development"
and do not support new techniques like XML, SOA and parallelism.
Modern programming languages, like Scala, Groovy and F#, do not have these disadvantages.
The success of Ruby on Rails has shown the superiority
of dynamically typed programming languages for web applications.
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The right language increases productivity and code quality and time to market.
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The knowledge and skills of the project team have to be considered, of course.
My overview on programming languages provides more
information.
New compute-intensive applications and performance improvements are only possible with parallelism.
This is due to physical limitations in processor design.
- Parallel and distributed algorithms
- Multicore processors (OpenMP, POSIX, Windows, Intel TBB)
- GPU Computing with NVIDIA CUDA and OpenCL
- Actor model
- Software Transactional Memory (STM)
More informationen on parallelism.
A large part of applications consists of business rules and definitions that frequently change.
Why are these hard coded with a programming language by a programmer?
They should be defined by business responsibles in their own language and easily changeable.
- Domain specific languages
- Generative development
- Model driven development
