The book "Guide to Advanced Empirical Software Engineering" is a comprehensive reference for researchers and practitioners in the field of software engineering. It addresses the growing importance of empirical methods in software engineering research and practice, highlighting the increasing use of empirical data in software development tools and processes. The book is intended to serve as a standard reference for those involved in empirical software engineering, providing guidance on designing, conducting, analyzing, interpreting, and reporting empirical studies. The chapters are written by leading experts in the field and cover a wide range of topics, including research methods, practical foundations, and knowledge creation. The book is organized into three main sections: "Research Methods and Techniques," "Practical Foundations," and "Knowledge Creation." The first section discusses various strategies for collecting and analyzing data, as well as the appropriate uses for these strategies. The second section focuses on the basic issues that researchers must consider before a study becomes meaningful, such as measurement, statistics, and ethical considerations. The third section addresses the challenge of converting discrete scientific results into a broadly useful body of knowledge, which is a significant challenge in empirical software engineering. The book is intended for a variety of audiences, including practicing software engineering researchers, software engineers involved in data analysis, graduate students in software engineering, and reviewers of empirical research. It provides practical knowledge and tools for conducting, reporting, and using empirical methods in software engineering. The book also includes guidelines for reporting results, ethical considerations, and the management of university-industry collaborations. Overall, the book aims to fill a gap in the literature by providing a comprehensive reference for advanced empirical software engineering techniques and their application.The book "Guide to Advanced Empirical Software Engineering" is a comprehensive reference for researchers and practitioners in the field of software engineering. It addresses the growing importance of empirical methods in software engineering research and practice, highlighting the increasing use of empirical data in software development tools and processes. The book is intended to serve as a standard reference for those involved in empirical software engineering, providing guidance on designing, conducting, analyzing, interpreting, and reporting empirical studies. The chapters are written by leading experts in the field and cover a wide range of topics, including research methods, practical foundations, and knowledge creation. The book is organized into three main sections: "Research Methods and Techniques," "Practical Foundations," and "Knowledge Creation." The first section discusses various strategies for collecting and analyzing data, as well as the appropriate uses for these strategies. The second section focuses on the basic issues that researchers must consider before a study becomes meaningful, such as measurement, statistics, and ethical considerations. The third section addresses the challenge of converting discrete scientific results into a broadly useful body of knowledge, which is a significant challenge in empirical software engineering. The book is intended for a variety of audiences, including practicing software engineering researchers, software engineers involved in data analysis, graduate students in software engineering, and reviewers of empirical research. It provides practical knowledge and tools for conducting, reporting, and using empirical methods in software engineering. The book also includes guidelines for reporting results, ethical considerations, and the management of university-industry collaborations. Overall, the book aims to fill a gap in the literature by providing a comprehensive reference for advanced empirical software engineering techniques and their application.