Measurement of software development productivity is needed in order to control software costs, but it isdiscouragingly labor-intensive and expensive. Computer aided software engineering (CASE) technologies --especially repository-based, integrated CASE -- have the potential to support the automation of thismeasurement. In this paper, we discuss the development of automated analyzers for function point andsoftware reuse measurement for object-based CASE. Both analyzers take advantage of the existence of arepresentation of the application system that is stored within an object repository, and that contains thenecessary information about the application system. We also discuss metrics for software reusemeasurement, including reuse leverage, reuse value and reuse classification, that are motivated by managerialrequirements and the efforts, within industry and the IEEE, to standardize measurement. The functionalityand the analytical capabilities of state-of-the-art automated software metrics analyzers are illustrated in thecontext of an investment banking industry application, that is similar to systems deployed at the New YorkCity-based investment bank where these tools were developed and tested.

Measurement of software development productivity is needed in order to controlsoftware costs, but it is discouragingly labor-intensive and expensive. Computer aidedsoftware engineering (CASE) technologies -- especially object-oriented, integrated CASE-- have the potential to support the automation of this measurement. In this paper, wediscuss the conceptual development of automated analyzers for function point andsoftware reusability measurement for object-based CASE. Both analyzers take advantageof the existence of a representation of the application system that is stored within anobject repository, and that contains the necessary information about the applicationsystem. We also propose new metrics for software reusability measurement, includingreuse leverage, reuse value and reuse classification. The functionality and analyticcapabilities of state-of-the-art automated software metrics analyzers are illustrated in thecontext of an investment banking industry application.

C. Amting Directorate General Information Society, European Commission, Brussels Under the 4th Framework of European Research, the European Systems and Soft ware Initiative (ESSI) was part of the ESPRIT Programme. This initiative funded more than 470 projects in the area' of software and system process improvements. The majority of these projects were process improvement experiments carrying out and taking up new development processes, methods and technology within the software development process of a company. In addition, nodes (centres of exper tise), European networks (organisations managing local activities), training and dissemination actions complemented the process improvement experiments. ESSI aimed at improving the software development capabilities of European enterprises. It focused on best practice and helped European companies to develop world class skills and associated technologies to build the increasingly complex and varied systems needed to compete in the marketplace. The dissemination activities were designed to build a forum, at European level, to exchange information and knowledge gained within process improvement ex periments. Their major objective was to spread the message and the results of experiments to a wider audience, through a variety of different channels. The European Experience Exchange ~UR~X) project has been one of these dis semination activities within the European Systems and Software Initiative.~UR~X has collected the results of practitioner reports from numerous workshops in Europe and presents, in this series of books, the results of Best Practice achieve ments in European Companies over the last few years.

Understanding the cost ramifications of design, manufacturing and life-cycle management decisions is of central importance to businesses associated with all types of electronic systems. Cost Analysis of Electronic Systems contains carefully developed models and theory that practicing engineers can directly apply to the modeling of costs for real products and systems. In addition, this book brings to light and models many contributions to life-cycle costs that practitioners are aware of but never had the tools or techniques to address quantitatively in the past.Cost Analysis of Electronic Systems melds elements of traditional engineering economics with manufacturing process and life-cycle cost management concepts to form a practical foundation for predicting the cost of electronic products and systems. Various manufacturing cost analysis methods are addressed including: process-flow, parametric, cost of ownership, and activity-based costing. The effects of learning curves, data uncertainty, test and rework processes, and defects are considered. Aspects of system sustainment and life-cycle cost modeling including reliability (warranty, burn-in), maintenance (sparing and availability), and obsolescence are treated. Finally, total cost of ownership of systems and return on investment are addressed.Real life design scenarios from integrated circuit fabrication, electronic systems assembly, substrate fabrication, and electronic systems managementare used as examples of the application of the cost estimation methods developed within the book.

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.