Runtime analysis of search heuristics on software engineering problems
作者:Per Kristian Lehre, Xin Yao
摘要
Many software engineering tasks can potentially be automated using search heuristics. However, much work is needed in designing and evaluating search heuristics before this approach can be routinely applied to a software engineering problem. Experimental methodology should be complemented with theoretical analysis to achieve this goal. Recently, there have been significant theoretical advances in the runtime analysis of evolutionary algorithms (EAs) and other search heuristics in other problem domains. We suggest that these methods could be transferred and adapted to gain insight into the behaviour of search heuristics on software engineering problems while automating software engineering.
论文关键词:software engineering, evolutionary algorithms, runtime analysis
论文评审过程:
论文官网地址:https://doi.org/10.1007/s11704-009-0006-6