The product of many years of practical experience and research in the software measurement business, this technical reference helps you select what metrics to collect, how to convert measurement data to management information, and provides the statistics necessary to perform these conversions. The author explains how to manage software development measurement systems, how to build software measurement tools and standards, and how to construct controlled experiments using standardized measurement tools. There are three fundamental questions that this book seeks to answer. First, exactly how do you get the measurement data? Second, how do you convert the data from the measurement process to information that you can use to manage the software development process? Third, how do you manage all of the data? Millions of dollars are being spent trying to secure software systems. When suitable instrumentation is placed into the systems that we develop, their activity can be monitored in real time. Measurement based automatic detection mechanisms can be designed into systems. This will permit the detection of system misuse and detect incipient reliability problems. By demonstrating how to develop simple experiments for the empirical validation of theoretical research and showing how to convert measurement data into meaningful and valuable information, this text fosters more precise use of software measurement in the computer science and software engineering literature. Software Engineering Measurement shows you how to convert your measurement data to valuable information that can be used immediately for software process improvement.

Novel in its approach to software design, development, and management, Building Software: A Practitioner's Guide shows you how to successfully build and manage a system. The approach the authors recommend is a simple, effective framework known as Solution Engineering Execution (SEE). Through SEE, you create a successful solution by following a highly organized, well-planned process. This process makes you view the solution from a holistic, systematic perspective. Developing a successful system requires that you are able to address technology matters related to architecture, design, selection, integration, and security. Building Software: A Practitioner's Guide offers insight into how to make software reliable and how to ensure it meets customer and organizational needs. Using the above approach you are able to: Find a good solution to the problem at hand Focus on engineering the solution well Address all aspects of delivery associated with the solution The book provides insightful examples of cross-domain and legacy solutions that allow you to overcome common software concerns such as requirement issues, change control, quality and schedule management, and internal and external communication problems.

UML for Developing Knowledge Management Systems provides knowledge engineers the framework in which to identify types of knowledge and where this knowledge exists in an organization. It also shows ways in which to use a standard recognized notation to capture, or model, knowledge to be used in a knowledge management system (KMS). This volume enables knowledge engineers, systems analysts, designers, developers, and researchers to understand the concept of knowledge modeling with Unified Modeling Language (UML). It offers a guide to quantifying, qualifying, understanding, and modeling knowledge by providing a reusable framework that can be adopted for KMS implementation. Following a brief history of knowledge management, the book discusses knowledge acquisition and the types of knowledge that can be discovered within a domain. It offers an overview of types of models and the concepts behind them. It then reviews UML and how to apply UML to model knowledge. The book concludes by defining and applying the Knowledge Acquisition framework via a real-world case study.

Project Managers leading massive IT projects--defined as projects rolling out deliverables across geographic boundaries with budgets ranging well into the millions--need a unique level of expertise and an arsenal of personal and professional skills to successfully accomplish their tasks. Large IT initiatives inherently contain business conditions, technology quirks, and participant and managerial agendas that make them exceedingly difficult to execute. Complex IT Project Management: Sixteen Steps to Success reveals a project management process that the author has proven to be successful in many complex real-world projects. Each step is presented in its logical sequence, with the connections between management methods and project goals clearly defined. The author often refers to the successful tactics he employed, providing you with a strategy to overcome the challenges found in even the most intricate IT projects. This book stands as the perfect tool for project managers at all levels of experience who plan to tackle a high-profile initiative. It also serves as a guide for project sponsors searching for the right manager, and for consultants recommending best practices for the workplace.

Not connecting software project management (SPM) to actual, real-world development processes can lead to a complete divorcing of SPM to software engineering that can undermine any successful software project. By explaining how a layered process architectural model improves operational efficiency, Process-Based Software Project Management outlines a new method that is more effective than the traditional method when dealing with SPM. With a clear and easy-to-read approach, the book discusses the benefits of an integrated project management-process management connection. The described tight coupling of the process world to the SPM world provides a high degree of completeness and accuracy necessary for effective project management. The author shows you that this process-based approach to SPM increases product quality, shortens time-to-market, reduces life cycle costs, facilitates short system test times, and increases developmental supply chain management (SCM) controls and total repeatability. This underlying process approach also actively involves SCM, software quality assurance (SQA), engineering, and accounting as part of your integrated SPM team for total success. Through examples and detailed explanations, Process-Based Software Project Management illustrates how this novel SPM approach is more profitable and time-efficient when compared to traditional SPM methods. The software manager, along with the support team, will finally all be on "the same page" to achieve SPM/engineering success.

Electronic bill presentment and payment (EBPP) is revolutionizing the billing process by offering online and real time presentment of bill content and payment choices. EBPP is the easy way of viewing billing status, remittance items, and presenting balances using a universal browser from any location. In contrast to paper-based bills, electronic billing enables service providers to combine billing with advanced customer care and improved customer relationship management. Electronic Bill Presentment and Payment presents the essentials about this new way of viewing and paying bills. The author defines basic business models, such as biller direct and various consolidator model options, allocates the right tools to each of the models, and differentiates between the needs of principal industries. The text describes how to build and implement value added capabilities such as personalization, up-selling, online dispute management, and better control of the accounts payable and receivable process can significantly improve customer care and customer relationship management on behalf of service providers. About the Author: Kornel Terplan is a telecommunication expert with more than 30 years of highly successful multi-national consulting experience. He has provided consulting, training, and product development services to over 75 national and international corporations on four continents. He has served on the editorial board for over 140 articles, 22 books, and 115 papers. Dr. Terplan has designed five network management related courses and conducted over 80 seminar presentations in 15 countries.

Based on an extensive research project done by the author in the United States, Britain, Germany, France, Switzerland, Sweden, and Austria from December 1999 to June 2001, Enterprise Architecture and New Generation Information Systems focuses on four main themes: Next Generation Information Technology The Likely Technologies of this Decade Enterprise Computing The Internet as the 21st Century's Answer to Merchandising While the majority of books presently available on information systems are written from the viewpoint of system analysis, programming, or common applications, this text: Brings to the reader's attention the importance of organization and infrastructure Presents a wealth of case studies to explain the need for reengineering and restructuring Details the latest advances which influence the implementation of advanced technology Written in a simple, comprehensive manner without specific prerequisites and data processing jargon, with concepts and case studies properly explained, this book addresses itself to practitioners in computer technology, telecommunications and software development, who are interested in acquiring skills through knowledge of the most advanced applications, tools, and methods, both present and coming. Enterprise Architecture and New Generation Information Systems will prove appealing to every person charged with planning, developing, applying, and delivering advanced information systems, architectural solutions, and programming products.

If you look around you will find that all computer systems, from your portable devices to the strongest supercomputers, are heterogeneous in nature. The most obvious heterogeneity is the existence of computing nodes of different capabilities (e.g. multicore, GPUs, FPGAs, ...). But there are also other heterogeneity factors that exist in computing systems, like the memory system components, interconnection, etc. The main reason for these different types of heterogeneity is to have good performance with power efficiency. Heterogeneous computing results in both challenges and opportunities. This book discusses both. It shows that we need to deal with these challenges at all levels of the computing stack: from algorithms all the way to process technology. We discuss the topic of heterogeneous computing from different angles: hardware challenges, current hardware state-of-the-art, software issues, how to make the best use of the current heterogeneous systems, and what lies ahead. The aim of this book is to introduce the big picture of heterogeneous computing. Whether you are a hardware designer or a software developer, you need to know how the pieces of the puzzle fit together. The main goal is to bring researchers and engineers to the forefront of the research frontier in the new era that started a few years ago and is expected to continue for decades. We believe that academics, researchers, practitioners, and students will benefit from this book and will be prepared to tackle the big wave of heterogeneous computing that is here to stay.

The increasing penetration of IT in organizations calls for an integrative perspective on enterprises and their supporting information systems. MERODE offers an intuitive and practical approach to enterprise modelling and using these models as core for building enterprise information systems. From a business analyst perspective, benefits of the approach are its simplicity and the possibility to evaluate the consequences of modeling choices through fast prototyping, without requiring any technical experience. The focus on domain modelling ensures the development of a common language for talking about essential business concepts and of a shared understanding of business rules. On the construction side, experienced benefits of the approach are a clear separation between specification and implementation, more generic and future-proof systems, and an improved insight in the cost of changes. A first distinguishing feature is the method's grounding in process algebra provides clear criteria and practical support for model quality. Second, the use of the concept of business events provides a deep integration between structural and behavioral aspects. The clear and intuitive semantics easily extend to application integration (COTS software and Web Services). Students and practitioners are the book's main target audience, as both groups will benefit from its practical advice on how to create complete models which combine structural and behavioral views of a system-to-be and which can readily be transformed into code, and on how to evaluate the quality of those models. In addition, researchers in the area of conceptual or enterprise modelling will find a concise overview of the main findings related to the MERODE project. The work is complemented by a wealth of extra material on the author's web page at KU Leuven, including a free CASE tool with code generator, a collection of cases with solutions, and a set of domain modelling patterns that have been developed on the basis of the method's use in industry and government.

To lead a data science team, you need to expertly articulate technology roadmaps, support a data-driven culture, and plan a data strategy that drives a competitive business plan. In this practical guide, you'll learn leadership techniques the authors have developed building multiple high-performance data teams. In How to Lead in Data Science you'll master techniques for leading data science at every seniority level, from heading up a single project to overseeing a whole company's data strategy. You'll find advice on plotting your long-term career advancement, as well as quick wins you can put into practice right away. Throughout, carefully crafted assessments and interview scenarios encourage introspection, reveal personal blind spots, and show development areas to help advance your career. Leading a data science team takes more than the typical set of business management skills. You need specific know-how to articulate technology roadmaps, support a data-driven culture, and plan a data strategy that drives a competitive business plan. Whether you're looking to manage your team better or work towards a seat at your company's top leadership table, this book will show you how.

An effective systems development and design process is far easier to explain than it is to implement. A framework is needed that organizes the life cycle activities that form the process. This framework is Configuration Management (CM). Software Configuration Management discusses the framework from a standards viewpoint, using the original DoD MIL-STD-973 and EIA-649 standards to describe the elements of configuration management within a software engineering perspective. Divided into two parts, the first section is composed of 14 chapters that explain every facet of configuration management related to software engineering. The second section consists of 25 appendices that contain many valuable real world CM templates. The content is extensive and inclusive, covering everything from CM planning to configuration identification, verification, and auditing. Although it is vendor-neutral, it offers a serious discussion of what to look for in a CM tool and lists toolsets for review. This volume is a sourcebook of techniques, templates, and best practices in the field, providing software engineers and systems developers with what they need to run a successful CM program.

A concise and practical introduction to the foundations and engineering principles of self-adaptation Though it has recently gained significant momentum, the topic of self-adaptation remains largely under-addressed in academic and technical literature. This book changes that. Using a systematic and holistic approach, An Introduction to Self-adaptive Systems: A Contemporary Software Engineering Perspective provides readers with an accessible set of basic principles, engineering foundations, and applications of self-adaptation in software-intensive systems. It places self-adaptation in the context of techniques like uncertainty management, feedback control, online reasoning, and machine learning while acknowledging the growing consensus in the software engineering community that self-adaptation will be a crucial enabling feature in tackling the challenges of new, emerging, and future systems. The author combines cutting-edge technical research with basic principles and real-world insights to create a practical and strategically effective guide to self-adaptation. He includes features such as: An analysis of the foundational engineering principles and applications of self-adaptation in different domains, including the Internet-of-Things, cloud computing, and cyber-physical systems End-of-chapter exercises at four different levels of complexity and difficulty An accompanying author-hosted website with slides, selected exercises and solutions, models, and code Perfect for researchers, students, teachers, industry leaders, and practitioners in fields that directly or peripherally involve software engineering, as well as those in academia involved in a class on self-adaptivity, this book belongs on the shelves of anyone with an interest in the future of software and its engineering.

This is a book about the development of dependable, embedded software. It is for systems designers, implementers, and verifiers who are experienced in general embedded software development, but who are now facing the prospect of delivering a software-based system for a safety-critical application. It is aimed at those creating a product that must satisfy one or more of the international standards relating to safety-critical applications, including IEC 61508, ISO 26262, EN 50128, EN 50657, IEC 62304, or related standards. Of the first edition, Stephen Thomas, PE, Founder and Editor of FunctionalSafetyEngineer.com said, "I highly recommend Mr. Hobbs' book."

In today's unforgiving business environment where customers demand zero defect software at lower costs-it is testing that provides the opportunity for software companies to separate themselves from the competition. Providing a fresh perspective on this increasingly important function, Software Testing as a Service explains, in simple language, how to use software testing to improve productivity, reduce time to market, and reduce costly errors. The book explains how the normal functions of manufacturing can be applied to commoditize the software testing service to achieve consistent quality across all software projects. This up-to-date reference reviews different software testing tools, techniques, and practices and provides succinct guidance on how to estimate costs, allocate resources, and make competitive bids. Replete with examples and case histories, this book shows software development managers, software testers, testing managers, and entrepreneurs how proper planning can lead to the creation of software that proves itself to be head and shoulders above the competition.

Whether you are inheriting a test team or starting one up, Manage Software Testing is a must-have resource that covers all aspects of test management. It guides you through the business and organizational issues that you are confronted with on a daily basis, explaining what you need to focus on strategically, tactically, and operationally. Using a risk-based approach, the author addresses a range of questions about software product development. The book covers unit, system, and non-functional tests and includes examples on how to estimate the number of bugs expected to be found, the time required for testing, and the date when a release is ready. It weighs the cost of finding bugs against the risks of missing release dates or letting bugs appear in the final released product. It is imperative to determine if bugs do exist and then be able to metric how quickly they can be identified, the cost they incur, and how many remain in the product when it is released. With this book, test managers can effectively and accurately establish these parameters.

Software compiles, executes and runs, but often fails or gives inaccurate results, because it is not tested thoroughly prior to its release. This overview of software testing and quality assurance provides key concepts, case studies, and numerous techniques to ensure software is reliable and secure. Using a "self-teaching" format, the book covers important topics such as black, white, and gray box testing, video game testing, test management, automation, levels of testing, and quality assurance standards and procedures. Includes end of chapter multiple-choice questions/answers to increase mastering of the topics.

The aim of this book is to provide a platform to academicians, practitioners, and researchers to understand current and future trends in software reliability growth modeling. Emphasis will be on qualitative work relevant to the theme with particular importance given to mathematical modeling for software reliability and various methods and applications of multi attributed decision making in governing the software performance. Presents software quality and security models Offers reliability analysis, assurance techniques for software systems Covers methodologies, tools, and practical applications of software reliability modeling and testing resources Includes robust reliability design techniques, diagnostic, and decision support Discusses stochastic modelling for software systems

Driving innovation can reduce costs for companies, institutions, military programs, and successful businesses. Quality is key to successful innovation. Delivery of complex products must have high quality to reduce customer problems and defects. This book explains how to integrate Quality Assurance processes to produce compliant product management and gap analysis. It shows how Quality Assurance provides a common operating framework in which best practices, improvements, and cost avoidance activities can be shared. Effective Processes for Quality Assurance emphasizes improving process execution and reducing operational costs. It also focuses on how Quality Assurance personnel must support companies, institutions, military programs, and successful businesses by encouraging a cooperative, proactive approach and ensure compliance through management and team member participation. Lean and Agile can provide a competitive advantage, and this practical reference explains how to implement these two principles to deliver products that have fewer defects. It also explains: Quality Assurance methods Measuring benefits of Quality Assurance process improvement Quality Assurance performance and improvement Risk management Quality Assurance improvement with metrics Effective processes for Quality Assurance Quantitative process performance and commitments Quality Assurance plans Quality Assurance for customers and suppliers Supporting software configuration Effective Processes for Quality Assurance covers the critical issues for implementing Quality Assurance processes that can deliver high-quality products successfully.

The book describes how to manage and successfully deliver large, complex, and expensive systems that can be composed of millions of line of software code, being developed by numerous groups throughout the globe, that interface with many hardware items being developed by geographically dispersed companies, where the system also includes people, policies, constraints, regulations, and a myriad of other factors. It focuses on how to seamlessly integrate systems, satisfy the customer's requirements, and deliver within the budget and on time. The guide is essentially a "shopping list" of all the activities that could be conducted with tailoring guidelines to meet the needs of each project.

C++ is one of the most important and influential programming languages for application development. It supports the modular, object- oriented and generic programming models and its flexibility has been one of the main reasons why it has been so successful. With the emergence of the Boost Libraries (www.boost.org) we see that C++ is brought to a new level, namely a set of reusable and modular template libraries that C++ developers can use in their applications. This book is dedicated to a number of Boost libraries for higher-order functions, data types and data structures, libraries for text and string processing, multi-threading, random number generation and more. We also discuss how Boost and design patterns are used to promote the flexibility of code. Each library is described in a step-by-step manner. Numerous examples are given to show the functionality of each library. The full source code is freely available to purchasers of the book. Coverage Includes Understanding and using 30 major Boost libraries. Learn about higher-order functions, data structures, memory management, multi-threading and more. Using Boost in new and existing applications. Integrating Boost and the Gang-Of-Four design patterns. Ready-to-run projects for Visual Studio. Appendices and exercises."

Business managers have long known the power of the Balanced Scorecard in executing corporate strategy. Implementing the Project Management Balanced Scorecard shows project managers how they too can use this framework to meet strategic objectives. It supplies valuable insight into the project management process as a whole and provides detailed explanations on how to effectively implement the balanced scorecard to measure and manage performance and projects. The book details a tactical approach for implementing the scorecard approach at the project level and investigates numerous sample scorecards, metrics, and techniques. It examines recent research on critical issues such as performance measurement and management, continuous process improvement, benchmarking, metrics selection, and people management. It also explains how to integrate these issues with the four perspectives of the balanced scorecard: customer, business processes, learning and innovation, and financial. Filled with examples and case histories, the book directly relates the scorecard concept to the major project management steps of determining scope, scheduling, estimation, risk management, procurement, and project termination. It includes a plethora of resources on the accompanying downloadable resources-including detailed instructions for developing a measurement program, a full metrics guide, a sample project plan, and a set of project management fill-in forms.

This book addresses the challenges in the software engineering of variability-intensive systems. Variability-intensive systems can support different usage scenarios by accommodating different and unforeseen features and qualities. The book features academic and industrial contributions that discuss the challenges in developing, maintaining and evolving systems, cloud and mobile services for variability-intensive software systems and the scalability requirements they imply. The book explores software engineering approaches that can efficiently deal with variability-intensive systems as well as applications and use cases benefiting from variability-intensive systems.

Lankhorst and his co-authors present ArchiMate (R) 3.0, enterprise modelling language that captures the complexity of architectural domains and their relations and allows the construction of integrated enterprise architecture models. They provide architects with concrete instruments that improve their architectural practice. As this is not enough, they additionally present techniques and heuristics for communicating with all relevant stakeholders about these architectures. Since an architecture model is useful not only for providing insight into the current or future situation but can also be used to evaluate the transition from 'as-is' to 'to-be', the authors also describe analysis methods for assessing both the qualitative impact of changes to an architecture and the quantitative aspects of architectures, such as performance and cost issues. The modelling language presented has been proven in practice in many real-life case studies and has been adopted by The Open Group as an international standard. So this book is an ideal companion for enterprise IT or business architects in industry as well as for computer or management science students studying the field of enterprise architecture. This fourth edition of the book has been completely reworked to be compatible with ArchiMate (R) 3.0, and it includes a new chapter relating this new version to other standards. New sections on capability analysis, risk analysis, and business architecture in general have also been introduced.