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Software effort estimation is one of the oldest and most important problems in software project management, and thus today there are a large number of models, each with its own unique strengths and weaknesses in general, and even more importantly, in relation to the environment and context in which it is to be applied.
Trendowicz and Jeffery present a comprehensive look at the principles of software effort estimation and support software practitioners in systematically selecting and applying the most suitable effort estimation approach. Their book not only presents what approach to take and how to apply and improve it, but also explains why certain approaches should be used in specific project situations. Moreover, it explains popular estimation methods, summarizes estimation best-practices, and provides guidelines for continuously improving estimation capability. Additionally, the book offers invaluable insights into project management in general, discussing issues including project trade-offs, risk assessment, and organizational learning.
Overall, the authors deliver an essential reference work for software practitioners responsible for software effort estimation and planning in their daily work and who want to improve their estimation skills. At the same time, for lecturers and students the book can serve as the basis of a course in software processes, software estimation, or project management.
- Sales Rank: #3793855 in Books
- Published on: 2014-05-08
- Original language: English
- Number of items: 1
- Dimensions: 9.21" h x 1.06" w x 6.14" l, 1.90 pounds
- Binding: Hardcover
- 469 pages
Review
"It is the most complete work on all aspects of software effort estimation that I have seen. It provides an excellent reference for the field and belongs on the bookshelf of every organization that needs to manage a software project." from the foreword by Victor Basili, University of Maryland, USA
"This dense book would serve as a reference in a software library, and would be a great resource for software engineering students, as well as managers, engineers, and architects." Naga Narayanaswamy, ACM Computing Reviews, December 2014
From the Back Cover
Software effort estimation is one of the oldest and most important problems in software project management, and thus today there are a large number of models, each with its own unique strengths and weaknesses in general, and even more importantly, in relation to the environment and context in which it is to be applied.
Trendowicz and Jeffery present a comprehensive look at the principles of software effort estimation and support software practitioners in systematically selecting and applying the most suitable effort estimation approach. Their book not only presents what approach to take and how to apply and improve it, but also explains why certain approaches should be used in specific project situations. Moreover, it explains popular estimation methods, summarizes estimation best-practices, and provides guidelines for continuously improving estimation capability. Additionally, the book offers invaluable insights into project management in general, discussing issues including project trade-offs, risk assessment, and organizational learning.
Overall, the authors deliver an essential reference work for software practitioners responsible for software effort estimation and planning in their daily work and who want to improve their estimation skills. At the same time, for lecturers and students the book can serve as the basis of a course in software processes, software estimation, or project management. About the Author
Adam Trendowicz is a senior consultant at the Fraunhofer Institute for Experimental Software Engineering (IESE) in Kaiserslautern, Germany, where he leads the Measurement and Prediction team. He has led software cost estimation and software measurement improvement activities in software companies of different sizes and from various fields, and has been involved in functional software size estimation and productivity benchmarking in organizations from both industry and the public sector. Trendowicz’s other software engineering interests include project management, software product quality modeling and evaluation, and technology validation by means of empirical methods.
Ross Jeffery is an Emeritus Professor of Software Engineering at the UNSW’s School of Computer Science and Engineering and a research consultant in the Systems Software Research Group at National ICT Australia (NICTA). His research interests are in software process and product modeling and improvement, software knowledge management, software metrics, software technical and management reviews, and software resource modeling and estimation. His research has involved over fifty government and industry organizations over a period of more than 20 years and has been funded by the industry, government and universities. Jeffery was elected a Fellow of the Australian Computer Society for his contributions to software engineering research.
Most helpful customer reviews
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The factors that affect cost estimation are explored in great detail, including team structure
By rpv
Software cost estimation and project planning can be some of the most difficult tasks in the software industry. Software continues to become increasingly complex, and pressure to release it quickly is also on the rise. This book tries to demystify these issues. It deals with both small- and large-scale software projects. Many graphs are included, which depict the effort and time required based on several parameters. The book also includes fascinating quotes by several leading industry practitioners. The factors that affect cost estimation are explored in great detail, including team structure, size, skills, and quality of the resultant product. Several analytical studies go along with the actual experiments.
Choosing the right model is often a source of contention, and the authors explain the pros and cons of several of them. They outline high-level methods to be used: expert-based methods, data-driven methods, and hybrid methods. Several industry-wide estimation methods are discussed in great detail: statistical regression analysis, the constructive cost model (COCOMO), regression trees, case-based reasoning, Bayesian belief networks, wideband delphi, and a few others. The strengths and weaknesses of each of these are described in great detail. The best practices chapter at the end is one of the most useful in the book. Though the book delves into many analytical studies, I would have preferred a more real-world study; for example, the authors could have approached some large software development firms and asked to see real-world metrics, comparing them to the observations made.
This dense book would serve as a reference in a software library, and would be a great resource for software engineering students, as well as managers, engineers, and architects. Often, cost estimations are rushed and pushed through in companies. To produce good estimates, one needs proper functional specifications and then works on design. Design feeds into implementation costs, which feed into testing and maintenance resources. Companies learn from past mistakes; often, the ones that succeed are those that make constant positive reinforcements to the plans. The book should motivate managers to make proper effort estimations and improve the overall quality of software.
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