In the Guide to the Software Engineering Body of Knowledge (SWEBOK(R) Guide), the IEEE Computer Society establishes a baseline for the body of knowledge for the field of software engineering, and the work supports the Society's responsibility to promote the advancement of both theory and practice in this field. It should be noted that the Guide does not purport to define the body of knowledge but rather to serve as a compendium and guide to the knowledge that has been developing and evolving over the past four decades. Now in Version 3.0, the Guide's 15 knowledge areas summarize generally accepted topics and list references for detailed information. The editors for Version 3.0 of the SWEBOK(R) Guide are Pierre Bourque (Ecole de technologie superieure (ETS), Universite du Quebec) and Richard E. (Dick) Fairley (Software and Systems Engineering Associates (S2EA)).
Annotation This handbook presents the laws that significantly impact software engineering. This book begins with requirements definitions and concludes with maintenance and withdrawal. Along the way, it identifies and discusses existing laws that significantly impact software engineering. Software engineers who wish to reacquaint (or ecquaint) themselves with the basic laws of software engineering and their applicability in an industrial setting.
This handbook contains information and guidance that supports all of the topics of the 2016 version of the CSQE Body of Knowledge (BoK) upon which ASQ's Certified Software Quality Engineer/(CSQE) exam is based. Armed with the knowledge presented in this handbook to complement the required years of actual work experience, qualified software quality practitioners may feel confident they have taken appropriate steps in preparation for the ASQ CSQE exam. However, the goals for this handbook go well beyond it being a CSQE exam preparation guide. Its author designed this handbook not only to help the software quality engineers, but as a resource for software development practitioners, project managers, organizational managers, other quality practitioners, and other professionals who need to understand the aspects of software quality that impact their work. It can also be used to benchmark their (or their organization's) understanding and application of software quality principles and practices against what is considered a cross-industry good practice baseline. After all, taking stock of strengths and weaknesses, software engineers can develop proactive strategies to leverage software quality as a competitive advantage. New software quality engineers can use this handbook to gain an understanding of their chosen profession. Experienced software quality engineers can use this handbook as a reference source when performing their daily work. It is also hoped that trainers and educators will use this handbook to help propagate software quality engineering knowledge to future software practitioners and managers. Finally, this handbook strives to establish a common vocabulary that software quality engineers, and others in their organizations can use to communicate about software and quality. Thus increasing the professionalism of the industry and eliminating the wastes that can result from ambiguity and misunderstandings.
This is the first book that attempts to provide a framework in which to embed an automatic programming system based on evolutionary learning (genetic programming) into a traditional software engineering environment. As such, it looks at how traditional software engineering knowledge can be integrated with an evolutionary programming process in a symbiotic way.
Skills to grow from a solo coder into a productive member of a software development team, with seasoned advice on everything from refactoring to acing an interview. In Skills of a Successful Software Engineer you will learn: The skills you need to succeed on a software development team Best practices for writing maintainable code Testing and commenting code for others to read and use Refactoring code you didn’t write What to expect from a technical interview process How to be a tech leader Getting around gatekeeping in the tech community Skills of a Successful Software Engineer is a best practices guide for succeeding on a software development team. The book reveals how to optimize both your code and your career, from achieving a good work-life balance to writing the kind of bug-free code delivered by pros. You’ll master essential skills that you might not have learned as a solo coder, including meaningful code commenting, unit testing, and using refactoring to speed up feature delivery. Timeless advice on acing interviews and setting yourself up for leadership will help you throughout your career. Crack open this one-of-a-kind guide, and you’ll soon be working in the professional manner that software managers expect. About the technology Success as a software engineer requires technical knowledge, flexibility, and a lot of persistence. Knowing how to work effectively with other developers can be the difference between a fulfilling career and getting stuck in a life-sucking rut. This brilliant book guides you through the essential skills you need to survive and thrive on a software engineering team. About the book Skills of a Successful Software Engineer presents techniques for working on software projects collaboratively. In it, you’ll build technical skills, such as writing simple code, effective testing, and refactoring, that are essential to creating software on a team. You’ll also explore soft skills like how to keep your knowledge up to date, interacting with your team leader, and even how to get a job you’ll love. What's inside Best practices for writing and documenting maintainable code Testing and refactoring code you didn’t write What to expect in a technical interview How to thrive on a development team About the reader For working and aspiring software engineers. About the author Fernando Doglio has twenty years of experience in the software industry, where he has worked on everything from web development to big data. Table of Contents 1 Becoming a successful software engineer 2 Writing code everyone can read 3 Unit testing: delivering code that works 4 Refactoring existing code (or Refactoring doesn’t mean rewriting code) 5 Tackling the personal side of coding 6 Interviewing for your place on the team 7 Working as part of a team 8 Understanding team leadership
This handbook provides a unique and in-depth survey of the current state-of-the-art in software engineering, covering its major topics, the conceptual genealogy of each subfield, and discussing future research directions. Subjects include foundational areas of software engineering (e.g. software processes, requirements engineering, software architecture, software testing, formal methods, software maintenance) as well as emerging areas (e.g., self-adaptive systems, software engineering in the cloud, coordination technology). Each chapter includes an introduction to central concepts and principles, a guided tour of seminal papers and key contributions, and promising future research directions. The authors of the individual chapters are all acknowledged experts in their field and include many who have pioneered the techniques and technologies discussed. Readers will find an authoritative and concise review of each subject, and will also learn how software engineering technologies have evolved and are likely to develop in the years to come. This book will be especially useful for researchers who are new to software engineering, and for practitioners seeking to enhance their skills and knowledge.
This book gathers chapters from some of the top international empirical software engineering researchers focusing on the practical knowledge necessary for conducting, reporting and using empirical methods in software engineering. Topics and features include guidance on how to design, conduct and report empirical studies. The volume also provides information across a range of techniques, methods and qualitative and quantitative issues to help build a toolkit applicable to the diverse software development contexts
This is the first handbook to cover comprehensively both software engineering and knowledge engineering -- two important fields that have become interwoven in recent years. Over 60 international experts have contributed to the book. Each chapter has been written in such a way that a practitioner of software engineering and knowledge engineering can easily understand and obtain useful information. Each chapter covers one topic and can be read independently of other chapters, providing both a general survey of the topic and an in-depth exposition of the state of the art. Practitioners will find this handbook useful when looking for solutions to practical problems. Researchers can use it for quick access to the background, current trends and most important references regarding a certain topic.The handbook consists of two volumes. Volume One covers the basic principles and applications of software engineering and knowledge engineering.Volume Two will cover the basic principles and applications of visual and multimedia software engineering, knowledge engineering, data mining for software knowledge, and emerging topics in software engineering and knowledge engineering.
Today, software engineers need to know not only how to program effectively but also how to develop proper engineering practices to make their codebase sustainable and healthy. This book emphasizes this difference between programming and software engineering. How can software engineers manage a living codebase that evolves and responds to changing requirements and demands over the length of its life? Based on their experience at Google, software engineers Titus Winters and Hyrum Wright, along with technical writer Tom Manshreck, present a candid and insightful look at how some of the world’s leading practitioners construct and maintain software. This book covers Google’s unique engineering culture, processes, and tools and how these aspects contribute to the effectiveness of an engineering organization. You’ll explore three fundamental principles that software organizations should keep in mind when designing, architecting, writing, and maintaining code: How time affects the sustainability of software and how to make your code resilient over time How scale affects the viability of software practices within an engineering organization What trade-offs a typical engineer needs to make when evaluating design and development decisions
The book covers the recent new advances in software engineering and knowledge engineering. It is intended as a supplement to the two-volume handbook of software engineering and knowledge engineering. The editor and authors are well-known international experts in their respective fields of expertise. Each chapter in the book is entirely self-contained and gives in-depth information on a specific topic of current interest. This book will be a useful desktop companion for both practitioners and students of software engineering and knowledge engineering.
