Bøger i Practitioners serien

A comprehensive collection of benchmarks for measuring dependability in hardware-software systems As computer systems have become more complex and mission-critical, it is imperative for systems engineers and researchers to have metrics for a system's dependability, reliability, availability, and serviceability.

Describes the current state-of-the-practice of software engineering. This book begins with an overview of current issues and in particular the engineering of large complex systems. It goes on to describe the problems that occur in developing software, and presents the concepts for system engineering of software intensive systems and of engineering software products as the solution to the "software crisis". The text illustrates the phases of the software development life cycle: requirements, design, implementation, testing, and maintenance. Furthermore, it discusses the current practices in requirements and design, and defines software development methodologies, including a special emphasis on object-oriented tools and formal methods. The text also covers programming activities as they affect software engineering, details verification and validation throughout the software life cycle, and discusses software quality assurance, configuration management, and standards. In addition, the book covers project management and risk management concerns, and discusses the various life cycle process models including the spiral and incremental models.

Great Software Debates collects 25 years of industrial experience -- some good and some bad -- and enables readers to benefit from that experience without having to relive it. The book is a collection of essays presenting proven ideas on how to approach the difficult task of constructing software.

A complete toolkit for implementation of Earned Value Management Performance-Based Earned Value uniquely shows project managers how to effectively integrate technical, schedule, and cost objectives by improving earned value management (EVM) practices.

Guides both software project managers and their team members towards a common goal, emphasizing basic principles that are effective at work. This text presents an approach which stresses that success on software projects has more to do with how people think individually and in groups than with programming.

The authors present an extensive survey that reports on related research and new developments in the field of Cellular Automata (CA). Additive Cellular Automata: Theory and Applications will help you understand the basics of CA and prepare for further research. The book illustrates the matrix algebraic tools that characterize both group and non-group CA and proposes a wide variety of applications to solve real life problems. The book examines CA applications in the fields of VLSI testing, synthesis of easily testable FSM and combinational logic circuit, error correcting code, data encryption, generation of hashing function, and design of pseudo-associative memory. The book also covers characterization of two-dimensional Cellular Automata.

Newly revised for 2001, this second edition of Richard Thayer′s popular, bestselling book presents a top–down, practical view of managing a successful software engineering project. The book builds a framework for project management activities based on the planning, organizing, staffing, directing, and controlling model. Thayer provides information designed to help you understand and successfully perform the unique role of a project manager. This book is a must for all project managers in the software field. The text focuses on the five functions of general management by first describing each function and then detailing the project management activities that support each function. This second edition shows you how to manage a software development project, discusses current software engineering management methodologies and techniques, and presents general descriptions and project management problems. The book serves as a guide for your future project management activities. The text also offers students sufficient background and instructional material to serve as a main or supplementary text for a course in software engineering project management. Note: The 2001 revision includes a new Chapter 4 Introduction and a new paper that replaces an older paper.

Since the earliest days of the computer industry, managing a software project has been a complex and demanding activity. While the technical content of software products and the technical methods used to build them have changed over time, the fundamental issues that determine the success or failure of software project have remained fairly constant. The contents of this book, together with the underlying IEEE Standards, are dedicated to helping the reader in their ongoing task to produce quality software products in a conventional manner. This book, containing all original material, is built on the proposition that the IEEE Software Engineering Standards capture many of the fundamental "best practices" of software project management. It will assist the reader in successfully applying those standards to their projects and their organization. To meet this goal, the authors discuss and elaborate on the standards covering these three key management areas: Software systems engineering Process for developing software products Planning and control of software project activities The body of the text is correspondingly organized into three important parts: Software Systems Engineering; Process Management and Control; and Project Planning and Management.

The role of software has changed from simply generating financial or mechanical data to monitoring and controlling equipment that directly affects human life and safety. As a result, academia industry and government demand a more thorough understanding and familiarity with the specialized techniques used to achieve and assess the safety and reliability. Debra Herman introduces the concepts, techniques, and approaches necessary for software safety and reliability in today's environment. Focus is placed on the additional requirements necessary in current safety and reliability standards from various industrial sectors. Hermann organized the text with three objectives. In presenting everyday examples, she meets the first objective of raising the reader's awareness of the importance of software safety and reliability and its role in mission critical systems. The second is to provide practical information about the current methods used to achieve safety and reliability. Improving the understanding and practice of software safety and reliability through consolidation and analysis of current research for future use is Hermann's final objective. The book is written for engineers, scientists, managers, regulators, and policy makers involved in the design, development, acquisition, and certification of safety-critical systems.

This book examines one class of combinatorial optimization algorithms -- general iterative non-deterministic algorithms. These algorithms have recently shown significant interest due to their generality, ease of implementation, and the many success stories reporting very positive results.Iterative Computer Algorithms and Their Applications in Engineering uniformly describes five iterative algorithms for solving hard combinatorial optimization problems, namely simulated annealing, genetic algorithms, Tabu search, simulated evolution, and stochastic evolution. It is the only book to describe in a single volume these five main iterative combinatorial algorithms. The introductory chapter motivates the reader to study and use the general iterative approximation algorithms, while introducing the basic terminology.The authors present various iterative techniques and illustrate how they can be applied to solve several NP-hard problems. The book includes case studies of real engineering problems and provides comparative analysis using various techniques that the authors have experimented with and solved. For each algorithm, the authors present the procedures of the algorithm, parameter selection criteria, convergence property analysis, and parallelization. There are also several real-world examples that illustrate various aspects of the algorithms, including real engineering problems. Examples are presented wherever appropriate to illustrate any required mathematical concepts.The book has many unique features-- An integrated and up-to-date description of iterative non-deterministic algorithms-- It is the first book to describe in detail simulated evolution and stochasticevolution-- A brief introduction to fuzzy logic and its application in the formulation of multi-objective optimization problems-- A discussion on hybrid techniques that combine features of heuristics discussed in the book-- A level of treatment suitable for first year graduate stu