Applied Statistics for Software Managers
暫譯: 軟體經理的應用統計學

Katrina D. Maxwell

Applied Statistics for Software Managers

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商品描述

The easy, complete guide to statistical methods for software project management and process improvement.

  • Use statistics to maximize software process quality
  • Get results without extensive mathematical experience
  • Learn from detailed case studies how to identify key factors that influence:
  • Project productivity
  • Time to market
  • Development effort
  • Maintenance cost

Statistical techniques offer immense value to managers and developers who want to maximize quality and efficiency throughout the entire software lifecycle. Now there's a guide to using statistical techniques to solve specific software productivity, time-to-market, and maintenance problems. Using actual software project data, Katrina D. Maxwell leads you through every step of the statistical analysis, helping you avoid pitfalls and extract all the value your data has to offer.

You don't need a mathematical background! Maxwell presents an easy-to-follow methodology for analyzing software project data—showing you how to answer crucial questions without getting lost in the data! You'll master statistics through four real-world case studies that address the core issues facing every software manager:

  • Evaluating and improving productivity
  • Assessing and reducing time to market
  • Understanding and minimizing development costs
  • Identifying software maintenance cost drivers-and ameliorating them

Along the way, Maxwell clearly explains each core tool of statistical analysis for software management. You won't just understand regression, correlation, ANOVA, and other key techniques, you'll discover exactly how to make the most of them in your projects!

Software Quality Institute Series

Table of Contents

Preface.
1. Data Analysis Methodology.
2. Case Study: Software Development Productivity.
3. Case Study: Time to Market.
4. Case Study: Developing a Software Development Cost Model.
5. Case Study: Software Maintenance Cost Drivers.
6. What You Need to Know About Statistics.
Appendix A. Raw Software Development Project Data.
Appendix B. Validated Software Development Project Data.
Appendix C. Validated Software Maintenance Project Data.
Index.

商品描述(中文翻譯)

簡易且完整的統計方法指南，適用於軟體專案管理與流程改進。

- 使用統計數據來最大化軟體流程品質
- 無需廣泛的數學經驗即可獲得結果
- 從詳細的案例研究中學習如何識別影響以下因素的關鍵因素：
- 專案生產力
- 上市時間
- 開發努力
- 維護成本

統計技術對於希望在整個軟體生命週期中最大化品質和效率的管理者和開發者來說，提供了巨大的價值。現在有一本指南，教你如何使用統計技術來解決特定的軟體生產力、上市時間和維護問題。Katrina D. Maxwell 使用實際的軟體專案數據，帶領你逐步進行統計分析，幫助你避免陷阱，並提取數據所能提供的所有價值。

你不需要數學背景！Maxwell 提供了一個易於遵循的軟體專案數據分析方法，教你如何在不迷失於數據中的情況下回答關鍵問題！你將通過四個真實案例研究掌握統計，這些案例研究針對每位軟體管理者面臨的核心問題：

- 評估和改善生產力
- 評估和減少上市時間
- 理解和最小化開發成本
- 識別軟體維護成本驅動因素並改善它們

在此過程中，Maxwell 清楚地解釋了每個軟體管理統計分析的核心工具。你不僅會理解回歸、相關性、ANOVA 和其他關鍵技術，還會發現如何在你的專案中充分利用它們！

軟體品質研究所系列

目錄
前言。
1. 數據分析方法論。
2. 案例研究：軟體開發生產力。
3. 案例研究：上市時間。
4. 案例研究：開發軟體開發成本模型。
5. 案例研究：軟體維護成本驅動因素。
6. 你需要知道的統計知識。
附錄 A. 原始軟體開發專案數據。
附錄 B. 驗證過的軟體開發專案數據。
附錄 C. 驗證過的軟體維護專案數據。
索引。

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