Grammar Inference is the process of learning a grammar from examples, either positive (i.e., the grammar generates the string) and/or negative (i.e., the grammar does not generate the string). Although grammar inference has been successfully applied to many diverse domains such as speech recognition and robotics, its application to software engineering has been limited. This book provides an overview of the area and discusses the following applications of grammar inference: 1) Recovery of a metamodel from instance models: the MetAmodel Recovery System (MARS), a system that uses grammar inference in concert with a host of complementary technologies and tools to address the metamodel drift problem. 2) Recovery of domain-specific language (DSL) specifications from example DSL programs: GenInc, an unsupervised incremental CFG learning algorithm that allows further progress towards inferring DSLs and finds a second application in recovery of legacy DSLs. This book is directed at researchers and software developers interested in learning about the exciting field of grammar inference and its applications to software maintenance issues.

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