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Schwarzwälder — An online test framework

机译:黑森林-在线测试框架

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摘要

This paper describes a testing and benchmarking framework built to support the community of computer scientists. The framework provides features for defining benchmarks, uploading program code and executing test runs on the test infrastructure. For every test run, the framework measures the performance of the execution in terms of execution time, resource consumption and the quality of the data output computed by the tested code. As tests may be defined for many kinds of algorithmic problems the framework could support the scientific community working on Digital Ecosystem Technologies by achieving comparability of multiple algorithmic approaches to existing problems. The community may define its own tests on the framework thereby starting a worldwide online competition for the best algorithms.
机译:本文介绍了一种旨在支持计算机科学家社区的测试和基准测试框架。该框架提供了用于定义基准,上载程序代码以及在测试基础架构上执行测试运行的功能。对于每次测试运行,该框架都会根据执行时间,资源消耗和被测试代码计算出的数据输出质量来衡量执行性能。由于可以针对多种算法问题定义测试,因此该框架可以通过实现对现有问题的多种算法方法的可比性来支持从事数字生态系统技术研究的科学界。社区可以在框架上定义自己的测试,从而开始全球在线竞争最佳算法。

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