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Complementing metaheuristic search with higher abstraction techniques

机译:使用高级抽象技术补充元启发式搜索

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摘要

Search-Based Software Engineering and Model-Driven Engineering are both innovative approaches to software engineering. The premise of Search-Based Software Engineering is to reformulate engineering tasks as optimisation problems that can be solved using metaheuristic search techniques. Model-Driven Engineering aims to apply greater levels of abstraction to software engineering problems. In this paper, it is argued that these two approaches are complementary and that both research fields can make further progress by applying techniques from the other. We suggest ways in which synergies between the fields can be exploited.
机译:基于搜索的软件工程和模型驱动工程都是软件工程的创新方法。基于搜索的软件工程的前提是将工程任务重新定义为可以使用元启发式搜索技术解决的优化问题。模型驱动工程旨在将更高层次的抽象应用于软件工程问题。在本文中,有人认为这两种方法是互补的,并且两个研究领域都可以通过应用彼此的技术来取得进一步的进展。我们建议可以利用这些领域之间的协同作用的方法。

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