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Performance is a critical property of a program. While there exist refactorings that have the potential to significantly increase the performance of a program, it is hard to decide which refactorings effectively yield improvements. In this paper, we present a novel approach for the automated detection and selection of refactorings that are promising candidates to improve performance. Our key idea is to provide a heuristics that utilizes software properties determined by both static codedoi:10.5220/0006837900670078 dblp:conf/icsoft/MoesusSSH18 fatcat:s3ibp4mhefbh7ibmj4eqxk2w6q