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Salary surveys worldwide regularly place software architect in the top 10 best jobs, yet no real guide exists to help developers become architects. Until now. This book provides the first comprehensive overview of software architecture’s many aspects. Aspiring and existing architects alike will examine architectural characteristics, architectural patterns, component determination, diagramming and presenting architecture, evolutionary architecture, and many other topics. Mark Richards and Neal Ford—hands-on practitioners who have taught software architecture classes professionally for years—focus on architecture principles that apply across all technology stacks. You’ll explore software architecture in a modern light, taking into account all the innovations of the past decade. This book examines: Architecture patterns: The technical basis for many architectural decisions Components: Identification, coupling, cohesion, partitioning, and granularity Soft skills: Effective team management, meetings, negotiation, presentations, and more Modernity: Engineering practices and operational approaches that have changed radically in the past few years Architecture as an engineering discipline: Repeatable results, metrics, and concrete valuations that add rigor to software architecture
This title presents 30 papers on software engineering by David L. Parnas. Topics covered include: software design, social responsibility, concurrency, synchronization, scheduling and the Strategic Defence Initiative ("Star Wars").
Software testing has greatly evolved since the first edition of this book in 2011. Testers are now required to work in "agile" teams and focus on automating test cases. It has thus been necessary to update this work, in order to provide fundamental knowledge that testers should have to be effective and efficient in today's world. This book describes the fundamental aspects of testing in the different lifecycles, and how to implement and benefit from reviews and static analysis. Multiple other techniques are approached, such as equivalence partitioning, boundary value analysis, use case testing, decision tables and state transitions. This second edition also covers test management, test progress monitoring and incident management, in order to ensure that the testing information is correctly provided to the stakeholders. This book provides detailed course-study material for the 2023 version of the ISTQB Foundation level syllabus, including sample questions to help prepare for exams.
Practical Handbook to understand the hidden language of computer hardware and software DESCRIPTION This book teaches the essentials of software engineering to anyone who wants to become an active and independent software engineer expert. It covers all the software engineering fundamentals without forgetting a few vital advanced topics such as software engineering with artificial intelligence, ontology, and data mining in software engineering. The primary goal of the book is to introduce a limited number of concepts and practices which will achieve the following two objectives: Teach students the skills needed to execute a smallish commercial project. Provide students with the necessary conceptual background for undertaking advanced studies in software engineering through courses or on their own. KEY FEATURES - This book contains real-time executed examples along with case studies. - Covers advanced technologies that are intersectional with software engineering. - Easy and simple language, crystal clear approach, and straight forward comprehensible presentation. - Understand what architecture design involves, and where it fits in the full software development life cycle. - Learning and optimizing the critical relationships between analysis and design. - Utilizing proven and reusable design primitives and adapting them to specific problems and contexts. WHAT WILL YOU LEARN This book includes only those concepts that we believe are foundational. As executing a software project requires skills in two dimensionsÑengineering and project managementÑthis book focuses on crucial tasks in these two dimensions and discuss the concepts and techniques that can be applied to execute these tasks effectively.Ê WHO THIS BOOK IS FOR The book is primarily intended to work as a beginnerÕs guide for Software Engineering in any undergraduate or postgraduate program. It is directed towards students who know the program but have not had formal exposure to software engineering. The book can also be used by teachers and trainers who are in a similar stateÑthey know some programming but want to be introduced to the systematic approach of software engineering. TABLE OF CONTENTS 1. Introductory Concepts of Software Engineering 2. Modelling Software Development Life Cycle 3. Software Requirement Analysis and Specification 4. Software Project Management Framework 5. Software Project Analysis and Design 6. Object-Oriented Analysis and Design 7. Designing Interfaces & Dialogues and Database Design 8. Coding and Debugging 9. Software Testing 10. System Implementation and Maintenance 11.Reliability 12.ÊSoftware Quality 13. CASE and Reuse 14. Recent Trends and Development in Software Engineering 15.ÊModel Questions with Answers
This book discusses important topics for engineering and managing software startups, such as how technical and business aspects are related, which complications may arise and how they can be dealt with. It also addresses the use of scientific, engineering, and managerial approaches to successfully develop software products in startup companies. The book covers a wide range of software startup phenomena, and includes the knowledge, skills, and capabilities required for startup product development; team capacity and team roles; technical debt; minimal viable products; startup metrics; common pitfalls and patterns observed; as well as lessons learned from startups in Finland, Norway, Brazil, Russia and USA. All results are based on empirical findings, and the claims are backed by evidence and concrete observations, measurements and experiments from qualitative and quantitative research, as is common in empirical software engineering. The book helps entrepreneurs and practitioners to become aware of various phenomena, challenges, and practices that occur in real-world startups, and provides insights based on sound research methodologies presented in a simple and easy-to-read manner. It also allows students in business and engineering programs to learn about the important engineering concepts and technical building blocks of a software startup. It is also suitable for researchers at different levels in areas such as software and systems engineering, or information systems who are studying advanced topics related to software business.
Reflecting current industrial applications and programming practice, this book lays a foundation that supports the multi-threaded style of programming and high-reliability requirements of embedded software. Using a non-product specific approach and a programming (versus hardware) perspective, it focuses on the 32-bit protected mode processors and on C as the dominant programming language--with coverage of Assembly and how it can be used in conjunction with, and support of, C. Features an abundance of examples in C and an accompanying CD-ROM with software tools. Data Representation. Getting the Most Out of C. A Programmer's View of Computer Organization. Mixing C and Assembly. Input/Output Programming. Concurrent Software. Scheduling. Memory Management. Shared Memory. System Initialization. For Computer Scientists, Computer Engineers, and Electrical Engineers involved with embedded software applications.
This new edition of the book, is restructured to trace the advancements made and landmarks achieved in software engineering. The text not only incorporates latest and enhanced software engineering techniques and practices, but also shows how these techniques are applied into the practical software assignments. The chapters are incorporated with illustrative examples to add an analytical insight on the subject. The book is logically organised to cover expanded and revised treatment of all software process activities. KEY FEATURES • Large number of worked-out examples and practice problems • Chapter-end exercises and solutions to selected problems to check students’ comprehension on the subject • Solutions manual available for instructors who are confirmed adopters of the text • PowerPoint slides available online at www.phindia.com/rajibmall to provide integrated learning to the students NEW TO THE FIFTH EDITION • Several rewritten sections in almost every chapter to increase readability • New topics on latest developments, such as agile development using SCRUM, MC/DC testing, quality models, etc. • A large number of additional multiple choice questions and review questions in all the chapters help students to understand the important concepts TARGET AUDIENCE • BE/B.Tech (CS and IT) • BCA/MCA • M.Sc. (CS) • MBA
Fundamentals of Dependable Computing for Software Engineers presents the essential elements of computer system dependability. The book describes a comprehensive dependability-engineering process and explains the roles of software and software engineers in computer system dependability. Readers will learn: Why dependability matters What it means for a system to be dependable How to build a dependable software system How to assess whether a software system is adequately dependable The author focuses on the actions needed to reduce the rate of failure to an acceptable level, covering material essential for engineers developing systems with extreme consequences of failure, such as safety-critical systems, security-critical systems, and critical infrastructure systems. The text explores the systems engineering aspects of dependability and provides a framework for engineers to reason and make decisions about software and its dependability. It also offers a comprehensive approach to achieve software dependability and includes a bibliography of the most relevant literature. Emphasizing the software engineering elements of dependability, this book helps software and computer engineers in fields requiring ultra-high levels of dependability, such as avionics, medical devices, automotive electronics, weapon systems, and advanced information systems, construct software systems that are dependable and within budget and time constraints.
Integration is one of the most critical technical challenges in software today, as well as a difficult topic to generalize because of the many things affecting it — the technologies involved, the timeframe, the number and types of user communities requiring access, regulatory requirements, and so on. For this reason, Hammer and Timmerman have developed this comprehensive and unique overview of the evolution of software technology, with a particular emphasis on long-standing problems that remain unsolved. Fundamentals of Software Integration builds on this through background, presenting an abstract model of the software application and its environment, along with a methodology for how to use this model to develop an integration strategy that meets both the short– and long–term needs of an organization. This text utilizes an accessible writing style and strategic exercises to help students recognize similarities in the integration challenges faced across technologies.
Good software design is simple and easy to understand. Unfortunately, the average computer program today is so complex that no one could possibly comprehend how all the code works. This concise guide helps you understand the fundamentals of good design through scientific laws—principles you can apply to any programming language or project from here to eternity. Whether you’re a junior programmer, senior software engineer, or non-technical manager, you’ll learn how to create a sound plan for your software project, and make better decisions about the pattern and structure of your system. Discover why good software design has become the missing science Understand the ultimate purpose of software and the goals of good design Determine the value of your design now and in the future Examine real-world examples that demonstrate how a system changes over time Create designs that allow for the most change in the environment with the least change in the software Make easier changes in the future by keeping your code simpler now Gain better knowledge of your software’s behavior with more accurate tests