The Art and Science of Analyzing Software Data (Paperback)

The Art and Science of Analyzing Software Data provides valuable information on analysis techniques often used to derive insight from software data. This book shares best practices in the field generated by leading data scientists, collected from their experience training software engineering students and practitioners to master data science.

The book covers topics such as the analysis of security data, code reviews, app stores, log files, and user telemetry, among others. It covers a wide variety of techniques such as co-change analysis, text analysis, topic analysis, and concept analysis, as well as advanced topics such as release planning and generation of source code comments. It includes stories from the trenches from expert data scientists illustrating how to apply data analysis in industry and open source, present results to stakeholders, and drive decisions.

• Presents best practices, hints, and tips to analyze data and apply tools in data science projects
• Presents research methods and case studies that have emerged over the past few years to further understanding of software data
• Shares stories from the trenches of successful data science initiatives in industry

《軟體數據分析的藝術與科學》提供了有關分析技術的寶貴資訊，這些技術通常用於從軟體數據中獲取洞察力。本書分享了領先的數據科學家在培訓軟體工程學生和從業人員掌握數據科學方面的經驗中產生的最佳實踐。

本書涵蓋了許多主題，包括安全數據分析、代碼審查、應用商店、日誌文件和用戶遙測等。它涵蓋了各種技術，如共同變更分析、文本分析、主題分析和概念分析，以及高級主題，如發布計劃和源代碼註釋的生成。它還包括來自專業數據科學家的實戰故事，說明如何在工業和開源領域應用數據分析，向利益相關者呈現結果並推動決策。

本書還提供了分析數據和應用數據科學工具的最佳實踐、提示和技巧，並介紹了近年來出現的研究方法和案例研究，以進一步了解軟體數據。同時分享了工業界成功的數據科學項目的實戰經驗。