SE4Science 2017 : 2017 IEEE/ACM 12th International Workshop on Software Engineering for Science : proceedings : 22 May 2017, Buenos Aires, Argentina. International Workshop on Software Engineering for Science (2017 : Buenos Aires, Argen...最新文献

英文中文

BioSIMP: Using Software Testing Techniques for Sampling and Inference in Biological Organisms. BioSIMP:在生物有机体中使用取样和推断的软件测试技术。

SE4Science 2017 : 2017 IEEE/ACM 12th International Workshop on Software Engineering for Science : proceedings : 22 May 2017, Buenos Aires, Argentina. International Workshop on Software Engineering for Science (2017 : Buenos Aires, Argen...

Pub Date : 2017-05-01 DOI: 10.1109/se4science.2017.9

Mikaela Cashman, Jennie L Catlett, Myra B Cohen, Nicole R Buan, Zahmeeth Sakkaff, Massimiliano Pierobon, Christine A Kelley

Years of research in software engineering has given us novel ways to reason about, test, and predict the behavior of complex software systems that contain hundreds of thousands of lines of code. Many of these techniques have been inspired by nature such as genetic algorithms, swarm intelligence, and ant colony optimization. In this paper we reverse the direction and present BioSIMP, a process that models and predicts the behavior of biological organisms to aid in the emerging field of systems biology. It utilizes techniques from testing and modeling of highly-configurable software systems. Using both experimental and simulation data we show that BioSIMP can find important environmental factors in two microbial organisms. However, we learn that in order to fully reason about the complexity of biological systems, we will need to extend existing or create new software engineering techniques.

多年的软件工程研究为我们提供了新的方法来推理、测试和预测包含数十万行代码的复杂软件系统的行为。这些技术中的许多都受到了大自然的启发，比如遗传算法、群体智能和蚁群优化。在本文中，我们扭转了方向并提出了BioSIMP，这是一个模拟和预测生物有机体行为的过程，以帮助新兴的系统生物学领域。它利用了来自高度可配置软件系统的测试和建模技术。实验和模拟数据表明，BioSIMP可以在两种微生物中发现重要的环境因子。然而，我们了解到，为了充分理解生物系统的复杂性，我们将需要扩展现有的或创建新的软件工程技术。

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