Perspectives on Data Science for Software Engineering presents the best practices of seasoned data miners in software engineering. Its goal is to transfer the knowledge of experts from seasoned software engineers and data scientists to newcomers in the field. While there are many books covering data mining and software engineering basics, they present only the fundamentals and lack the perspective that comes from real-world experience. This book offers unique insights into the wisdom of the community’s leaders. Ideas are presented in digestible chapters designed to be applicable across many domains. Topics included cover data collection, data sharing, data mining, and how to utilize these techniques in successful software projects. Newcomers to software engineering data science will learn the tips and tricks of the trade, while more experienced data scientists will benefit from war stories that show what traps to avoid.
This post originally appeared at It Will Never Work in Theory.