Object Oriented systems bring new issues in software engineering, including the support for distributed information systems. Pairing distributed systems with object paradigms results in a distributed object paradigm. Choosing the most efficient distributed object design is a multi-criteria decision problem. Performance is a key criterion that allows software developers to be able to select the object-oriented design that best fits their requirements and hardware limitations. However, investigating and evaluating the performance of Distributed Object Oriented (DOO) systems is a challenge due to the complexity of interactions among objects. Classical techniques and methodologies of performance analysis are either unsuitable or unnatural to capture the performance behavior of object-oriented systems while preserving object-oriented characteristics. In this thesis, we investigate this problem and develop analytical models to study the performance of OO software that runs on single-node, distributed systems or pipeline architecture. We also develop a methodology to analyze and evaluate each model. The methodologies include: software computation, communication activities among objects, and object updating in case of the distributed environment. The developed performance models can be integrated with the design phase to enable the software engineer to explore software restructuring, allocation alternatives partitioning or scheduling methodologies. In many cases, the initial OO software does not have the best class distribution and may require restructuring. In this research, we utilize the performance-based model and the evaluation methodology to develop two new restructuring techniques; one for distributed object oriented systems and the other for software that runs on a pipelined architecture. The new techniques will efficiently restructure the OO software, fully exploit the system resources, and hence obtain better performance.

Object-Oriented Design with Applications has long been the essential reference to object-oriented technology, which, in turn, has evolved to join the mainstream of industrial-strength software development. In this third edition--the first revision in 13 years--readers can learn to apply object-oriented methods using new paradigms such as Java, the Unified Modeling Language (UML) 2.0, and .NET. The authors draw upon their rich and varied experience to offer improved methods for object development and numerous examples that tackle the complex problems faced by software engineers, including systems architecture, data acquisition, cryptoanalysis, control systems, and Web development. They illustrate essential concepts, explain the method, and show successful applications in a variety of fields. You'll also find pragmatic advice on a host of issues, including classification, implementation strategies, and cost-effective project management. New to this new edition are An introduction to the new UML 2.0, from the notation's most fundamental and advanced elements with an emphasis on key changes New domains and contexts A greatly enhanced focus on modeling--as eagerly requested by readers--with five chapters that each delve into one phase of the overall development lifecycle. Fresh approaches to reasoning about complex systems An examination of the conceptual foundation of the widely misunderstood fundamental elements of the object model, such as abstraction, encapsulation, modularity, and hierarchy How to allocate the resources of a team of developers and mange the risks associated with developing complex software systems An appendix on object-oriented programming languages This is the seminal text for anyone who wishes to use object-oriented technology to manage the complexity inherent in many kinds of systems. Sidebars Preface Acknowledgments About the Authors Section I: Concepts Chapter 1: Complexity Chapter 2: The Object Model Chapter 3: Classes and Objects Chapter 4: Classification Section II: Method Chapter 5: Notation Chapter 6: Process Chapter 7: Pragmatics Chapter 8: System Architecture: Satellite-Based Navigation Chapter 9: Control System: Traffic Management Chapter 10: Artificial Intelligence: Cryptanalysis Chapter 11: Data Acquisition: Weather Monitoring Station Chapter 12: Web Application: Vacation Tracking System Appendix A: Object-Oriented Programming Languages Appendix B: Further Reading Notes Glossary Classified Bibliography Index

This book explains how to model a problem domain by abstracting objects, attributes, and relationships from observations of the real world. It provides a wealth of examples, guidelines, and suggestions based on the authors' extensive experience in both real time and commercial software development. This book describes the first of three steps in the method of Object-Oriented Analysis. Subsequent steps are described in Object Lifecycles by the same authors.

This revision of Grady Booch's classic offers the first industry-wide standard for notation in developing large scale object-oriented systems. Laying the groundwork for the development of complex systems based on the object model, the author works in C++ to provide five fully-developed design examples, along with many smaller applications. Three of these capstone projects are new with this edition, including an inventory tracking system which implements a client server. The other four span problem domains as diverse as data acquisition for scientific tools, framework, artificial intelligence, and command and control. To measure progress, metrics in object development are suggested so that the developer knows how the project is going. In addition, the author demonstrates good and bad object designs and shows how to manage the trade-offs in complex systems.