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.

"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

• PART I Foundations.- Challenges of Predictable Software Development.- Principles of Effort and Cost Estimation.- Common Factors Influencing Software Project Effort.- Estimation under Uncertainty.- Basic Estimation Strategies.- PART II Selecting An Appropriate Estimation Method.- Classification of Effort Estimation Methods.- Finding the Most Suitable Estimation Method.- PART III Popular Effort Estimation Methods.- Statistical Regression Analysis.- Constructive Cost Model – COCOMO.- Classification and Regression Trees.- Case-Based Reasoning.- Wideband Delphi.- Planning Poker.- Bayesian Belief Networks – BBN.- CoBRA.- PART IV Establishing Sustainable Effort Estimation.- Continuously Improving Effort Estimation.- Effort Estimation Best Practices.- Appendix.

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.

"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

• PART I Foundations.- Challenges of Predictable Software Development.- Principles of Effort and Cost Estimation.- Common Factors Influencing Software Project Effort.- Estimation under Uncertainty.- Basic Estimation Strategies.- PART II Selecting An Appropriate Estimation Method.- Classification of Effort Estimation Methods.- Finding the Most Suitable Estimation Method.- PART III Popular Effort Estimation Methods.- Statistical Regression Analysis.- Constructive Cost Model – COCOMO.- Classification and Regression Trees.- Case-Based Reasoning.- Wideband Delphi.- Planning Poker.- Bayesian Belief Networks – BBN.- CoBRA.- PART IV Establishing Sustainable Effort Estimation.- Continuously Improving Effort Estimation.- Effort Estimation Best Practices.- Appendix.

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.

"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

• PART I Foundations.- Challenges of Predictable Software Development.- Principles of Effort and Cost Estimation.- Common Factors Influencing Software Project Effort.- Estimation under Uncertainty.- Basic Estimation Strategies.- PART II Selecting An Appropriate Estimation Method.- Classification of Effort Estimation Methods.- Finding the Most Suitable Estimation Method.- PART III Popular Effort Estimation Methods.- Statistical Regression Analysis.- Constructive Cost Model – COCOMO.- Classification and Regression Trees.- Case-Based Reasoning.- Wideband Delphi.- Planning Poker.- Bayesian Belief Networks – BBN.- CoBRA.- PART IV Establishing Sustainable Effort Estimation.- Continuously Improving Effort Estimation.- Effort Estimation Best Practices.- Appendix.