جزئیات کتاب
فرمت
جلد نرم
صفحات
544
زبان
انگلیسی
منتشر شده
Aug 1, 2000
ناشر
Prentice Hall
ISBN-10
0137025769
ISBN-13
9780137025763
توضیحات
This comprehensive guide builds on the foundational principles established in Dr. Barry Boehm's earlier work on software cost estimation. It delves deeper into the COCOMO II model, providing professionals with advanced methodologies and tools to effectively estimate software costs and manage project budgets. The collective expertise of the authors brings a wealth of knowledge to the reader, ensuring that they are equipped to tackle the complexities of modern software development.
Designed for both seasoned practitioners and newcomers, the book covers essential topics such as software sizing, cost drivers, and the integration of risk management into estimation processes. It emphasizes practical applications and real-world scenarios, helping readers to better understand how to apply methodologies in their own projects.
Additionally, the text navigates the evolving landscape of software engineering, addressing contemporary challenges and introducing innovative approaches to cost estimation. The collaborative effort of distinguished authors enhances its credibility and makes it a vital resource for anyone looking to refine their estimation skills and achieve more accurate financial forecasts in the software industry.
Designed for both seasoned practitioners and newcomers, the book covers essential topics such as software sizing, cost drivers, and the integration of risk management into estimation processes. It emphasizes practical applications and real-world scenarios, helping readers to better understand how to apply methodologies in their own projects.
Additionally, the text navigates the evolving landscape of software engineering, addressing contemporary challenges and introducing innovative approaches to cost estimation. The collaborative effort of distinguished authors enhances its credibility and makes it a vital resource for anyone looking to refine their estimation skills and achieve more accurate financial forecasts in the software industry.