Practitioner's Knowledge Representation

The goal of this book is to help organizations improve their effort estimates and effort estimation processes by providing a step-by-step methodology that takes them through the creation and validation of models based on their own knowledge and experience.

Presents an industry-proven methodology for (software) effort estimation Illustrated by several case studies employing a widely-used tool Author with long-term experience in industry and academia Includes supplementary material: sn.pub/extras

Autorentext

Emilia Mendes is a Professor of Software Engineering at the Blekinge Institute of Technology (Sweden) and has been a full-time academic for the past 14 years, making significant research and practical contributions to her fields of research - empirical Web/software engineering, measurement and metrics. Her findings provide solutions to industry, helping to improve development processes and products. Her Springer book on Web engineering in 2006 was the first to provide industry and academia with theory as well as case studies on numerous aspects related to Web development and measurement. Prior to her academic career, she worked in the ICT industry for ten years as a programmer, business analyst and project manager.

Inhalt
Chapter 1: Introduction to knowledge management.- Chapter 2: Web development vs. software development.- Chapter 3: Introduction to effort estimation.- Chapter 4: Literature review on Web effort estimation.- Chapter 5: Introduction to Bayesian network models.- Chapter 6: Expert-based knowledge engineering of Bayesian networks.- Chapter 7: First case study.- Chapter 8: Second case study.- Chapter 9: Third case study.- Chapter 10: Fourth case study.- Chapter 11: Fifth case study.- Chapter 12: Sixth case study.- Chapter 13: Ways in which to use Bayesian network models within a company.- Chapter 14: Conclusions.