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Software Measurement and Estimation
Linda M. Laird
€ 174.44
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Description for Software Measurement and Estimation
Hardcover. Practical Estimation in Software Engineering is a practical guide to metrics and quantitative software estimation. The book begins with the foundations of measurement and metrics, and then focuses on techniques and tools for estimation of the required effort and the resulting quality of a software project. Series: Quantitative Software Engineering Series. Num Pages: 280 pages, Illustrations. BIC Classification: UMZ. Category: (P) Professional & Vocational. Dimension: 238 x 163 x 19. Weight in Grams: 536.
An effective, quantitative approach for estimating and managing software projects
How many people do I need? When will the quality be good enough for commercial sale? Can this really be done in two weeks? Rather than relying on instinct, the authors of Software Measurement and Estimation offer a new, tested approach that includes the quantitative tools, data, and knowledge needed to make sound estimations.
The text begins with the foundations of measurement, identifies the appropriate metrics, and then focuses on techniques and tools for estimating the effort needed to reach a given level of quality and performance for a software project. All the factors that impact estimations are thoroughly examined, giving you the tools needed to regularly adjust and improve your estimations to complete a project on time, within budget, and at an expected level of quality.
This text includes several features that have proven to be successful in making the material accessible and easy to master:
* Simple, straightforward style and logical presentation and organization enables you to build a solid foundation of theory and techniques to tackle complex estimations
* Examples, provided throughout the text, illustrate how to use theory to solve real-world problems
* Projects, included in each chapter, enable you to apply your newfound knowledge and skills
* Techniques for effective communication of quantitative data help you convey your findings and recommendations to peers and management
Software Measurement and Estimation: A Practical Approach allows practicing software engineers and managers to better estimate, manage, and effectively communicate the plans and progress of their software projects. With its classroom-tested features, this is an excellent textbook for advanced undergraduate-level and graduate students in computer science and software engineering.
An Instructor Support FTP site is available from the Wiley editorial department.
How many people do I need? When will the quality be good enough for commercial sale? Can this really be done in two weeks? Rather than relying on instinct, the authors of Software Measurement and Estimation offer a new, tested approach that includes the quantitative tools, data, and knowledge needed to make sound estimations.
The text begins with the foundations of measurement, identifies the appropriate metrics, and then focuses on techniques and tools for estimating the effort needed to reach a given level of quality and performance for a software project. All the factors that impact estimations are thoroughly examined, giving you the tools needed to regularly adjust and improve your estimations to complete a project on time, within budget, and at an expected level of quality.
This text includes several features that have proven to be successful in making the material accessible and easy to master:
* Simple, straightforward style and logical presentation and organization enables you to build a solid foundation of theory and techniques to tackle complex estimations
* Examples, provided throughout the text, illustrate how to use theory to solve real-world problems
* Projects, included in each chapter, enable you to apply your newfound knowledge and skills
* Techniques for effective communication of quantitative data help you convey your findings and recommendations to peers and management
Software Measurement and Estimation: A Practical Approach allows practicing software engineers and managers to better estimate, manage, and effectively communicate the plans and progress of their software projects. With its classroom-tested features, this is an excellent textbook for advanced undergraduate-level and graduate students in computer science and software engineering.
An Instructor Support FTP site is available from the Wiley editorial department.
Product Details
Format
Hardback
Publication date
2006
Publisher
John Wiley and Sons Ltd United Kingdom
Condition
New
Series
Quantitative Software Engineering Series
Number of Pages
280
Place of Publication
New York, United States
ISBN
9780471676225
SKU
V9780471676225
Shipping Time
Usually ships in 7 to 11 working days
Ref
99-50
About Linda M. Laird
LINDA M. LAIRD is Adjunct Professor at Stevens Institute of Technology, where she teaches Quantitative Software Engineering. Dr. Laird has more than thirty years of experience building and managing systems for Lucent Technologies, AT&T, and Bell Laboratories. M. CAROL BRENNAN is former vice president and general manager of the Quality and Operations Center at Telcordia Technologies, where she was responsible for design, development, and implementation of the Telcordia quality management system. She has more than twenty-five years of experience in software design, development, testing, performance, maintenance, and customer support as well as quality strategy, policy, and implementation.
Reviews for Software Measurement and Estimation
"It is a good and welcome addition to any technical library…and for anyone…who needs to manage software, either development or acquisition." (ACM Software Engineering Notes, January 2007) "…an excellent book on this important area of software development." (CHOICE, December 2006) "The authors offer software engineers and project managers a new, tested approach that provides the quantitative tools, data, and knowledge needed to make sound estimations." (IEEE Computer Magazine, August 2006) "Corporations should advise both their project managers and their software teams to study methods introduced in this worthy text." (Kybernetes, Vol.36 Issue 1)