Perspectives on Data Science for Software Engineering (paperback)

Perspectives on Data Science for Software Engineering presents the best practices of seasoned data miners in software engineering. The idea for this book was created during the 2014 conference at Dagstuhl, an invitation-only gathering of leading computer scientists who meet to identify and discuss cutting-edge informatics topics.

At the 2014 conference, the concept of how to transfer the knowledge of experts from seasoned software engineers and data scientists to newcomers in the field highlighted many discussions. 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 gathered to share hard-won lessons from the trenches.

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.

• Presents the wisdom of community experts, derived from a summit on software analytics
• Provides contributed chapters that share discrete ideas and technique from the trenches
• Covers top areas of concern, including mining security and social data, data visualization, and cloud-based data
• Presented in clear chapters designed to be applicable across many domains

《軟體工程資料科學觀點》呈現了資深資料挖掘專家在軟體工程領域的最佳實踐。這本書的概念是在2014年的Dagstuhl會議上產生的，該會議是一個由領先的計算機科學家組成的邀請制聚會，他們聚集在一起討論和探討尖端的資訊科學主題。

在2014年的會議上，如何將資深軟體工程師和資料科學家的專業知識傳遞給新手成為許多討論的焦點。雖然有很多書籍介紹資料挖掘和軟體工程的基礎知識，但它們只介紹了基本原理，缺乏來自實際經驗的觀點。這本書提供了社群領袖的獨特見解，他們聚集在一起分享從實戰中獲得的寶貴經驗。

這些想法以易於理解的章節形式呈現，適用於許多領域。涵蓋的主題包括資料收集、資料分享、資料挖掘以及如何在成功的軟體項目中應用這些技術。軟體工程資料科學的新手將學習到行業的訣竅，而更有經驗的資料科學家將從這些故事中獲益，了解應該避免的陷阱。

本書呈現了社群專家的智慧，這些專家是從軟體分析峰會中獲得的。它提供了貢獻性的章節，分享了從實戰中獲得的獨立想法和技巧。涵蓋的主要關注領域包括挖掘安全和社交資料、資料可視化和基於雲的資料。本書以清晰的章節形式呈現，適用於許多領域。