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What is Techniques

Handbook of Research on Computational Science and Engineering: Theory and Practice
practices which support different aspects of software development such as testing.
Published in Chapter:
Developing Software for a Scientific Community: Some Challenges and Solutions
Judith Segal (The Open University, UK) and Chris Morris (STFC Daresbury Laboratory, UK)
DOI: 10.4018/978-1-61350-116-0.ch008
Abstract
There are significant challenges in developing scientific software for a broad community. In this chapter, we discuss how these challenges are somewhat different both from those encountered when a scientist end-user developer develops software to address a very specific scientific problem of his/her own, and from those encountered in many commercial developments. However, many developers of scientific community software are steeped in the culture of either scientific end-user or commercial development. As we shall discuss herein, neither background provides sufficient experience so as to meet the challenges of developing software for a scientific community. We make various proposals as to which development approaches, methods, techniques and tools might be useful in this context, and just as importantly, which might not.
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Techniques and Tools for Big Data Analytics in the Tourism Sector
Various methodologies and approaches employed in analyzing large volumes of tourism data, including statistical analysis, machine learning, and data mining.
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Requirements Traceability
Technical and managerial procedures that aid in the evaluation and improvement of the software development process.
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