Gerard O'Regan – författare

This book offers a comprehensive introduction to the field and pragmatic guidance on the implementation of a sound quality system in the organization. It provides an enhanced knowledge of software inspections, metrics, process involvement, assessment of organization, problem solving, customer satisfaction surveys, the CMM, SPICE, and formal methods. Sample material on software inspections, metrics, and customer satisfaction can be adapted by readers to their respective organizations. In addition, readers will gain a detailed understanding of the principles of software quality management and software process improvement. Concepts can then be readily applied to assist improvement programs within organizations.

This textbook is a systematic guide to the steps in setting up a Capability Maturity Model Integration (CMMI) improvement initiative.  Readers will learn the project management practices necessary to deliver high-quality software solutions to the customer on time and on budget.  The text also highlights how software process improvement can achieve specific business goals to provide a tangible return on investment. Topics and features: supplies review questions, summaries and key topics for each chapter, as well as a glossary of acronyms; describes the CMMI model thoroughly, detailing the five maturity levels; provides a broad overview of software engineering; reviews the activities and teams required to set up a CMMI improvement initiative; examines in detail the implementation of CMMI in a typical organization at each of the maturity levels; investigates the various tools that support organizations in improving their software engineering maturity; discusses the SCAMPI appraisal methodology.

The success of business today is dependent on the knowledge and expertise of its employees. The need for mathematics arises naturally in business such as in the work of the actuary in an insurance company, the financial mathematics required in the day-to-day work of the banker and the need to analyse data to extract useful information to enable the business to make the right decisions to be successful.A Guide to Business Mathematics provides a valuable self-study guide to business practitioners, business students and the general reader to enable them to gain an appropriate insight into the mathematics used in business. This book offers an accessible introduction to essential mathematics for the business field.A wide selection of topics is discussed with the mathematical material presented in a reader-friendly way. The business context motivates the presentation. The author uses modelling and applications to motivate the material, demonstrating how mathematics is used in the financial sector. In addition to the role of the actuary and the banker, the book covers operations research including game theory, trade discounts and the fundamentals of statistics and probability.The book is also a guide to using metrics to manage and measure performance, and business economics. Foundations on algebra, number theory, sequences and series, matrix theory and calculus are included as is a complete chapter on using software.Features• Discusses simple interest and its application to promissory notes/treasury bills.• Discusses compound interest with applications to present and future values.• Introduces the banking field including loans, annuities and the spot/forward FX market.• Discusses trade discounts and markups/markdowns.• Introduces the insurance field and the role of the actuary.• Introduces the fields of data analytics and operations research.• Discusses business metrics and problem solving.• Introduces matrices and their applications.• Discusses calculus and its applications.• Discusses basic financial statements such as balance sheet, profit and loss and cash account.• Reviews a selection of software to support business mathematics.This broad-ranging text gives the reader a flavour of the applications of mathematics to the business field and stimulates further study in the subject. As such, it will be of great benefit to business students, while also capturing the interest of the more casual reader.About the AuthorDr. Gerard O'Regan is an Assistant Professor in Mathematics at the University of Central Asia in Kyrgyzstan. His research interests include software quality and software process improvement, mathematical approaches to software quality, and the history of computing. He is the author of several books in the Mathematics and Computing fields.

The success of business today is dependent on the knowledge and expertise of its employees. The need for mathematics arises naturally in business such as in the work of the actuary in an insurance company, the financial mathematics required in the day-to-day work of the banker and the need to analyse data to extract useful information to enable the business to make the right decisions to be successful.A Guide to Business Mathematics provides a valuable self-study guide to business practitioners, business students and the general reader to enable them to gain an appropriate insight into the mathematics used in business. This book offers an accessible introduction to essential mathematics for the business field.A wide selection of topics is discussed with the mathematical material presented in a reader-friendly way. The business context motivates the presentation. The author uses modelling and applications to motivate the material, demonstrating how mathematics is used in the financial sector. In addition to the role of the actuary and the banker, the book covers operations research including game theory, trade discounts and the fundamentals of statistics and probability.The book is also a guide to using metrics to manage and measure performance, and business economics. Foundations on algebra, number theory, sequences and series, matrix theory and calculus are included as is a complete chapter on using software.Features• Discusses simple interest and its application to promissory notes/treasury bills.• Discusses compound interest with applications to present and future values.• Introduces the banking field including loans, annuities and the spot/forward FX market.• Discusses trade discounts and markups/markdowns.• Introduces the insurance field and the role of the actuary.• Introduces the fields of data analytics and operations research.• Discusses business metrics and problem solving.• Introduces matrices and their applications.• Discusses calculus and its applications.• Discusses basic financial statements such as balance sheet, profit and loss and cash account.• Reviews a selection of software to support business mathematics.This broad-ranging text gives the reader a flavour of the applications of mathematics to the business field and stimulates further study in the subject. As such, it will be of great benefit to business students, while also capturing the interest of the more casual reader.About the AuthorDr. Gerard O'Regan is an Assistant Professor in Mathematics at the University of Central Asia in Kyrgyzstan. His research interests include software quality and software process improvement, mathematical approaches to software quality, and the history of computing. He is the author of several books in the Mathematics and Computing fields.

Overview The aim of this book is to provide a practical introduction to software quality in an industrial environment and is based on the author's experience in working in software engineering and software quality improvement with leading indus­ trial companies. The book is written from a practitioner's viewpoint, and the objective is to include both theory and practice. The reader will gain a grasp of the fundamentals as well as guidance on the practical application of the theory. The principles of software quality management and software process im­ provement are discussed, and guidance on the implementation of maturity mod­ els such as the CMM, SPICE, or the ISO 9000:2000 standard is included. Organization and Features The first chapter provides an introduction to the fundamentals of quality man­ agement. Later chapters consider software inspections and testing, ISO 9000, the CMM, the evolving SPICE standard, metrics and problem solving, and the final chapter on formal methods and design considers some advanced topics, includ­ ing configuration management, UML, software usability, and formal methods. The reader may find the material heavy going in places, especially in the section on formal methods, and this section may be skipped. The book includes a chapter on software inspections and testing, and this in­ cludes material on Fagan inspections to build quality into the software product.

This lively and fascinating text traces the key developments in computation – from 3000 B.C. to the present day – in an easy-to-follow and concise manner. Topics and features: ideal for self-study, offering many pedagogical features such as chapter-opening key topics, chapter introductions and summaries, exercises, and a glossary; presents detailed information on major figures in computing, such as Boole, Babbage, Shannon, Turing, Zuse and Von Neumann; reviews the history of software engineering and of programming languages, including syntax and semantics; discusses the progress of artificial intelligence, with extension to such key disciplines as philosophy, psychology, linguistics, neural networks and cybernetics; examines the impact on society of the introduction of the personal computer, the World Wide Web, and the development of mobile phone technology; follows the evolution of a number of major technology companies, including IBM, Microsoft and Apple.

This clearly written and enlightening textbook provides a concise, introductory guide to the key mathematical concepts and techniques used by computer scientists. Topics and features: ideal for self-study, offering many pedagogical features such as chapter-opening key topics, chapter introductions and summaries, review questions, and a glossary; places our current state of knowledge within the context of the contributions made by early civilizations, such as the ancient Babylonians, Egyptians and Greeks; examines the building blocks of mathematics, including sets, relations and functions; presents an introduction to logic, formal methods and software engineering; explains the fundamentals of number theory, and its application in cryptography; describes the basics of coding theory, language theory, and graph theory; discusses the concept of computability and decideability; includes concise coverage of calculus, probability and statistics, matrices, complex numbers and quaternions.

It has been upon the shoulders of giants that the modern world has been forged. This accessible compendium presents an insight into the great minds responsible for the technology which has transformed our lives. Each pioneer is introduced with a brief biography, followed by a concise account of their key contributions to their discipline. The selection covers a broad spread of historical and contemporary figures from theoreticians to entrepreneurs, highlighting the richness of the field of computing. Suitable for the general reader, this concise and easy-to-read reference will be of interest to anyone curious about the inspiring men and women who have shaped the field of computer science.

Suitable for the general reader, this concise and easy-to-read reference will be of interest to anyone curious about the inspiring men and women who have shaped the field of computer science.

This book provides a comprehensive introduction to various mathematical approaches to achieving high-quality software. An introduction to mathematics that is essential for sound software engineering is provided as well as a discussion of various mathematical methods that are used both in academia and industry.The mathematical approaches considered include:Z specification languageVienna Development Methods (VDM)Irish school of VDM (VDM)approach of Dijkstra and Hoareclassical engineering approach of ParnasCleanroom approach developed at IBMsoftware reliability, andunified modelling language (UML).Additionally, technology transfer of the mathematical methods to industry is considered.The book explains the main features of these approaches and applies mathematical methods to solve practical problems. Written with both student and professional in mind, this book assists the reader in applying mathematical methods to solve practical problems that are relevant to software engineers.

This book provides a comprehensive introduction to various mathematical approaches to achieving high-quality software. An introduction to mathematics that is essential for sound software engineering is provided as well as a discussion of various mathematical methods that are used both in academia and industry. The mathematical approaches considered include: Z specification language Vienna Development Methods (VDM) Irish school of VDM (VDM) approach of Dijkstra and Hoare classical engineering approach of Parnas Cleanroom approach developed at IBM software reliability, and unified modelling language (UML). Additionally, technology transfer of the mathematical methods to industry is considered. The book explains the main features of these approaches and applies mathematical methods to solve practical problems. Written with both student and professional in mind, this book assists the reader in applying mathematical methods to solve practical problems that are relevant to software engineers.

This encyclopedic reference provides a concise and engaging overview of the groundbreaking inventions and conceptual innovations that have shaped the field of computing, and the technology that runs the modern world. Each alphabetically-ordered entry presents a brief account of a pivotal innovation and the great minds behind it, selected from a wide range of diverse topics.Topics and features:Describes the development of Babbage’s computing machines, Leibniz’s binary arithmetic, Boole’s symbolic logic, and Von Neumann architectureReviews a range of historical analog and digital computers, significant mainframes and minicomputers, and pioneering home and personal computersDiscusses a selection of programming languages and operating systems, along with key concepts in software engineering and commercial computingExamines the invention of the transistor, the integrated circuit, and the microprocessorRelates the history of such developments in personal computing as the mouse, the GUI, Atari video games, and Microsoft OfficeSurveys innovations in communications, covering mobile phones, WiFi, the Internet and World Wide Web, e-commerce, smartphones, social media, and GPSPresents coverage of topics on artificial intelligence, the ATM, digital photography and digital music, robotics, and WikipediaContains self-test quizzes and a helpful glossaryThis enjoyable compendium will appeal to the general reader curious about the intellectual milestones that led to the digital age, as well as to the student of computer science seeking a primer on the history of their field.Dr. Gerard O'Regan is a CMMI software process improvement consultant with research interests including software quality and software process improvement, mathematical approaches to software quality, and the history of computing. He is the author of such Springer titles as World of Computing, Concise Guide to Formal Methods, Concise Guide to Software Engineering, and Guide to Discrete Mathematics.

This practically-focused textbook provides a concise and accessible introduction to the field of software testing, explaining the fundamental principles and offering guidance on applying the theory in an industrial environment.Topics and features: presents a brief history of software quality and its influential pioneers, as well as a discussion of the various software lifecycles used in software development; describes the fundamentals of testing in traditional software engineering, and the role that static testing plays in building quality into a product; explains the process of software test planning, test analysis and design, and test management; discusses test outsourcing, and test metrics and problem solving; reviews the tools available to support software testing activities, and the benefits of a software process improvement initiative; examines testing in the Agile world, and the verification of safety critical systems; considers the legal and ethical aspects of software testing, and the importance of software configuration management; provides key learning topics and review questions in every chapter, and supplies a helpful glossary at the end of the book.This easy-to-follow guide is an essential resource for undergraduate students of computer science seeking to learn about software testing, and how to build high quality and reliable software on time and on budget. The work will also be of interest to industrialists including software engineers, software testers, quality professionals and software managers, as well as the motivated general reader.

This illuminating textbook provides a concise review of the core concepts in mathematics essential to computer scientists. Emphasis is placed on the practical computing applications enabled by seemingly abstract mathematical ideas, presented within their historical context. The text spans a broad selection of key topics, ranging from the use of finite field theory to correct code and the role of number theory in cryptography, to the value of graph theory when modelling networks and the importance of formal methods for safety critical systems.This fully updated new edition has been expanded with a more comprehensive treatment of algorithms, logic, automata theory, model checking, software reliability and dependability, algebra, sequences and series, and mathematical induction.Topics and features: includes numerous pedagogical features, such as chapter-opening key topics, chapter introductions and summaries, review questions, and a glossary; describes the historical contributions of such prominent figures as Leibniz, Babbage, Boole, and von Neumann; introduces the fundamental mathematical concepts of sets, relations and functions, along with the basics of number theory, algebra, algorithms, and matrices; explores arithmetic and geometric sequences and series, mathematical induction and recursion, graph theory, computability and decidability, and automata theory; reviews the core issues of coding theory, language theory, software engineering, and software reliability, as well as formal methods and model checking; covers key topics on logic, from ancient Greek contributions to modern applications in AI, and discusses the nature of mathematical proof and theorem proving; presents a short introduction to probability and statistics, complex numbers and quaternions, and calculus.This engaging and easy-to-understand book will appeal to students of computer science wishing for an overview of the mathematics used in computing, and to mathematicianscurious about how their subject is applied in the field of computer science. The book will also capture the interest of the motivated general reader.

This lively and fascinating text traces the key developments in computation – from 3000 B.C. discusses the invention of the microprocessor and the development of home and personal computers; reviews a miscellany of innovations in the computing field such as cloud computing, the Internet of Things, and Quantum Computing;

This lively and fascinating text traces the key developments in computation – from 3000 B.C. discusses the invention of the microprocessor and the development of home and personal computers; reviews a miscellany of innovations in the computing field such as cloud computing, the Internet of Things, and Quantum Computing;

explains the fundamentals of automata theory, matrices, graph theory, cryptography, coding theory, language theory, and the concepts of computability and decidability;

explains the fundamentals of automata theory, matrices, graph theory, cryptography, coding theory, language theory, and the concepts of computability and decidability;

The wide-ranging coverage encompasses all areas of software design, management, and quality. Topics and features: presents a broad overview of software engineering, including software lifecycles and phases in software development, and project management for software engineering;

This textbook presents an introduction to the mathematical foundations of software engineering.  It presents the rich applications of mathematics in areas such as error-correcting codes, cryptography, the safety and security critical fields, the banking and insurance fields, as well as traditional engineering applications. Topics and features:Addresses core mathematics for critical thinking and problem solvingDiscusses propositional and predicate logic and various proof techniques to demonstrate the correctness of a logical argument.Examines number theory and its applications to cryptographyConsiders the underlying mathematics of error-correcting codesDiscusses graph theory and its applications to modelling networksReviews tools to support software engineering mathematics, including automated and interactive theorem provers and model checkingDiscusses financial software engineering, including simple and compound interest, probability and statistics, and operations researchDiscusses software reliability and dependability and explains formal methods used to derive a program from its specificationDiscusses calculus, matrices, vectors, complex numbers, and quaternions, as well as applications to graphics and roboticsIncludes key learning topics, summaries, and review questions in each chapter, together with a useful glossaryThis practical and easy-to-follow textbook/reference is ideal for computer science students seeking to learn how mathematics can assist them in building high-quality and reliable software on time and on budget. The text also serves as an excellent self-study primer for software engineers, quality professionals, and software managers.

This textbook presents an introduction to the mathematical foundations of software engineering.  It presents the rich applications of mathematics in areas such as error-correcting codes, cryptography, the safety and security critical fields, the banking and insurance fields, as well as traditional engineering applications. Topics and features:Addresses core mathematics for critical thinking and problem solvingDiscusses propositional and predicate logic and various proof techniques to demonstrate the correctness of a logical argument.Examines number theory and its applications to cryptographyConsiders the underlying mathematics of error-correcting codesDiscusses graph theory and its applications to modelling networksReviews tools to support software engineering mathematics, including automated and interactive theorem provers and model checkingDiscusses financial software engineering, including simple and compound interest, probability and statistics, and operations researchDiscusses software reliability and dependability and explains formal methods used to derive a program from its specificationDiscusses calculus, matrices, vectors, complex numbers, and quaternions, as well as applications to graphics and roboticsIncludes key learning topics, summaries, and review questions in each chapter, together with a useful glossaryThis practical and easy-to-follow textbook/reference is ideal for computer science students seeking to learn how mathematics can assist them in building high-quality and reliable software on time and on budget. The text also serves as an excellent self-study primer for software engineers, quality professionals, and software managers.

This textbook presents an overview of the critically important ethical and legal issues that arise in the computing field and provides a professional perspective from software engineering. The author gained exposure to these aspects of computing while working as a software engineer at Motorola in Ireland, where he coordinated the patent programme and worked with several software suppliers.Topics and features:Presents a broad overview of ethics and the lawIncludes key learning topics, summaries, and review questions in each chapter, together with a useful glossaryDiscusses the professional responsibility of computer professionalsExplores ethics in various civilisations and religious traditionsDiscusses ethical software engineering and ethical outsourcingConsiders what is fair and ethical in data scienceDescribes ethical challenges that arise in social media and the AI fieldReviews intellectual property including patents, copyright and trademarksThis practical and easy-to-follow textbook/reference is ideal for computer science students seeking to understand legal and ethical aspects of computing. The text also serves as a concise self-study primer for software engineers and software managers.

This essential textbook presents an overview of software project management in an ethical and responsible software engineering environment. The book covers the essentials of software project management, and highlights the importance of ethics and professional responsibility as part of the skill set of the modern project manager. Topics and features: Presents a solid overview of software project managementDiscusses professional and ethical responsibilities of project managersPresents an overview of ethical software engineeringReviews project planning and scheduling, project monitoring and control, risk management and project closureDiscusses quality management of software projectsPresents an overview of legal and ethical aspects of outsourcingDiscusses project management for both traditional and Agile projectsReviews a selection of tools & metrics to support project managementDiscusses best practice (Prince 2, PMP and CMMI) to improve project managementIncludes key learning topics, summaries, and review questions in each chapter, together with a useful glossary This practical and easy-to-follow textbook/reference is ideal for computer science students seeking to understand software project management. The text also serves as a self-study primer for software engineers, project managers and software managers.Dr. Gerard O’Regan is an international lecturer in Maths/Computing with research interests in software quality, software process improvement, mathematical approaches to software quality, and the history of computing. He is the author of several books with Springer, including Concise Guide to Software Engineering, Ethical and Legal Aspects of Computing, and A Brief History of Computing.

This essential textbook presents an overview of philosophical and cultural aspects of the computing field.In addition to examining philosophy, ethics, and culture, the text reviews the philosophy of science, engineering, and technology. It explores the nature of computer science and computer programs and delves into the nature of algorithms and computability and the philosophy of artificial intelligence (AI). Further, the book considers ethical responsibilities of computer professionals, as well as ethical issues that arise in the computing field, social media and AI. Finally, it explores cultural aspects of computing and the cultural impact of computing technologies on various areas of society.Topics and features:·         Presents a broad overview of philosophy, ethics and culture·         Examines the nature of a computer and the difference between hardware and software·         Reviews the nature of computer science and whether it is science, engineering, or mathematics·         Investigates the nature of a computer program including programming languages, syntax, semantics, specification·         Explores ethical software engineering and ethical outsourcing·         Discusses ethical challenges that arise in social media and the AI fieldThis practical and easy-to-follow textbook/reference is ideal for computer science students seeking to understand philosophical and cultural aspects of computing. It will also be of interest to the general reader.Dr. Gerard O’Regan is an international lecturer in maths/computing and an independent software quality and process improvement consultant.

This textbook describes the approaches used by software engineers to build quality into their software. examines all aspects of the software development process, including project planning and tracking, software lifecycles, software inspections and testing, configuration management, and software quality assurance;

This accessible compendium examines a collection of significant technology firms that have helped to shape the field of computing and its impact on society. Each company is introduced with a brief account of its history, followed by a concise account of its key contributions. The selection covers a diverse range of historical and contemporary organizations from pioneers of e-commerce to influential social media companies. Features: presents information on early computer manufacturers; reviews important mainframe and minicomputer companies; examines the contributions to the field of semiconductors made by certain companies; describes companies that have been active in developing home and personal computers; surveys notable research centers; discusses the impact of telecommunications companies and those involved in the area of enterprise software and business computing; considers the achievements of e-commerce companies; provides a review of social media companies.

Tracing the story of computing from Babylonian counting boards to smartphones, this inspiring textbook provides a concise overview of the key events in the history of computing, together with discussion exercises to stimulate deeper investigation into this fascinating area.