Add to ORKG- Scientists are increasingly developing complex software for data analysis- “It’s all about the software…”- Most are not trained programmers- Many are using complex software platforms and techniques e.g. distributed & parallel programming, GPUs, etc- that are hard for experienced CS grads to do- Approaches to address range from packaged software (Lack flexibility), DSLs (Also Flexibility/Domain issues), programming patterns and toolkits (still complex
Scientists are increasingly investing more time writing software to model the processes under their ...
We are witnessing an enormous expansion in the use of software in business, industry, administration...
Data science is mandatory in today's business to capitalize on achievements and assets. This specifi...
- Scientists are increasingly developing complex software for data analysis- Most are not trained pr...
Data science systems (DSSs) are a fundamental tool in many areas of research and are now being devel...
New knowledge in science and engineering relies increasingly on results produced by scientific softw...
Though scientific software is an engine for scientific progress and provides data for critical decis...
In this paper, the author discusses two types of challenges facing software engineers as they develo...
scientists developing software for HPC systems face unique software engineering issues. Attempts to ...
software researchers have proposed improving software development and maintenance with new practices...
Abstract: Society at large, and the Computer Science and Information Systems (CS/IS) fields in parti...
By the term 'professional end user developers' we mean people such as research scientists who work i...
Scientific and engineering research is dependent on effective use of software artifacts; many of the...
‘‘Many scientists and engineers spend much of their lives writing, debugging, and maintaining softwa...
Microcomputers and the programs to run on them have proliferated in recent years. Yet many practicin...
Scientists are increasingly investing more time writing software to model the processes under their ...
We are witnessing an enormous expansion in the use of software in business, industry, administration...
Data science is mandatory in today's business to capitalize on achievements and assets. This specifi...
- Scientists are increasingly developing complex software for data analysis- Most are not trained pr...
Data science systems (DSSs) are a fundamental tool in many areas of research and are now being devel...
New knowledge in science and engineering relies increasingly on results produced by scientific softw...
Though scientific software is an engine for scientific progress and provides data for critical decis...
In this paper, the author discusses two types of challenges facing software engineers as they develo...
scientists developing software for HPC systems face unique software engineering issues. Attempts to ...
software researchers have proposed improving software development and maintenance with new practices...
Abstract: Society at large, and the Computer Science and Information Systems (CS/IS) fields in parti...
By the term 'professional end user developers' we mean people such as research scientists who work i...
Scientific and engineering research is dependent on effective use of software artifacts; many of the...
‘‘Many scientists and engineers spend much of their lives writing, debugging, and maintaining softwa...
Microcomputers and the programs to run on them have proliferated in recent years. Yet many practicin...
Scientists are increasingly investing more time writing software to model the processes under their ...
We are witnessing an enormous expansion in the use of software in business, industry, administration...
Data science is mandatory in today's business to capitalize on achievements and assets. This specifi...