Learn Software Engineering with Ugrasen Suman's Book: Concepts and Practices for the Software Industry
Software Engineering Concepts and Practices by Ugrasen Suman: A Comprehensive Review
Software engineering is the discipline of applying systematic, rigorous and disciplined methods to develop, operate and maintain software systems that meet the needs and expectations of users, customers and stakeholders. Software engineering is essential for ensuring the quality, reliability, security, efficiency, usability and maintainability of software systems in various domains and applications. Software engineering is also a challenging and dynamic field that requires constant learning, innovation and adaptation to cope with the ever-changing technologies, requirements, standards and practices.
software engineering concepts and practices agrasen suman cengage learning pdf 72
Software Engineering: Concepts and Practices by Ugrasen Suman is a comprehensive textbook that covers the fundamental principles and practices of software engineering as applicable to the software industry. The book is designed for undergraduate and postgraduate students of computer science, computer engineering, information technology and computer applications, as well as for software professionals who want to enhance their knowledge and skills in software engineering. The book provides a holistic overview of the software engineering process, from inception to retirement, with a focus on practical aspects, examples, case studies and exercises. The book also covers the latest trends and developments in software engineering, such as agile methods, cloud computing, service-oriented architecture, web engineering, mobile computing, artificial intelligence, big data analytics, internet of things, blockchain, cybersecurity and ethical issues.
In this article, we will provide a detailed review of the book, highlighting its key features, benefits, contents and outcomes. We will also summarize and analyze each chapter of the book, providing an overview of the main concepts, techniques and tools discussed in each chapter. We will conclude with a brief evaluation of the book's strengths and limitations, as well as a comparison with other books on software engineering. We will also provide some frequently asked questions (FAQs) about the book for further information.
Overview of the book
The book is organized into 10 chapters, each covering a major topic or phase of software engineering. The chapters are arranged in a logical sequence that follows the typical software development life cycle (SDLC), from requirements engineering to process improvement. The chapters are also modular and independent, allowing readers to choose their own order of reading based on their interests and needs. The book adopts a balanced approach between theory and practice, providing both conceptual foundations and practical applications of software engineering concepts and practices. The book also adopts a generic approach that is applicable to various types of software systems, domains and applications.
The book has several key features that make it an ideal resource for learning software engineering concepts and practices. Some of these features are:
The book provides a comprehensive coverage of all aspects of software engineering, including process models, requirements engineering, system modeling, design, implementation, testing, maintenance, quality assurance, project management and process improvement.
The book emphasizes on practical aspects of software engineering, providing illustrative examples, case studies, exercises and multiple choice questions (MCQs) in each chapter to enhance the understanding and application of the concepts.
The book covers the latest trends and developments in software engineering, such as agile methods, cloud computing, service-oriented architecture, web engineering, mobile computing, artificial intelligence, big data analytics, internet of things, blockchain, cybersecurity and ethical issues.
The book provides a focused and to-the-point approach to presenting the concepts of software engineering, which both students and professionals will find instructive and easy to understand.
The book provides supplementary materials such as PowerPoint slides, solutions to exercises and MCQs, and additional case studies on its companion website for instructors and students.
The book has several benefits that make it a valuable resource for mastering software engineering concepts and practices. Some of these benefits are:
The book helps readers to acquire the essential knowledge and skills of software engineering that are required for developing, operating and maintaining high-quality software systems that meet the needs and expectations of users, customers and stakeholders.
The book helps readers to develop the critical thinking and problem-solving skills of software engineering, enabling them to analyze, design, implement, test and maintain software systems in various domains and applications.
The book helps readers to keep abreast of the latest trends and developments in software engineering, preparing them for the current and future challenges and opportunities in the software industry.
The book helps readers to apply the software engineering concepts and practices to real-world scenarios and projects, providing them with practical insights and experiences from the software industry.
Chapter-wise summary and analysis
In this section, we will provide a brief summary and analysis of each chapter of the book, highlighting the main concepts, techniques and tools discussed in each chapter. We will also provide some examples, case studies and exercises from each chapter to illustrate the application of the concepts.
Chapter 1: Introduction to Software Engineering
This chapter introduces the basic concepts and definitions of software engineering, such as software, software system, software product, software process, software project, software quality, software engineering ethics and so on. The chapter also explains the different types of software systems and applications, such as embedded systems, web-based systems, mobile systems, artificial intelligence systems, big data systems, internet of things systems and blockchain systems. The chapter also describes the various software process models and life cycle phases, such as waterfall model, incremental model, iterative model, spiral model, agile model and DevOps model. The chapter also discusses the software engineering principles and standards, such as IEEE standards, ISO standards and CMMI standards.
Some of the examples, case studies and exercises from this chapter are:
Example 1.1: A software system for online banking.
Example 1.2: A web-based system for e-commerce.
Example 1.3: A mobile system for health monitoring.
Example 1.4: An artificial intelligence system for face recognition.
Example 1.5: A big data system for sentiment analysis.
Example 1.6: An internet of things system for smart home.
Example 1.7: A blockchain system for cryptocurrency.
Case Study 1.1: The failure of Ariane 5 rocket launch due to a software error.
Case Study 1.2: The success of Google search engine due to a software innovation.
Exercise 1.1: Define the following terms: software engineering, software system, software product, software process, software project, software quality, software engineering ethics.
Exercise 1.2: Compare and contrast the following types of software systems and applications: embedded systems, web-based systems, mobile systems, artificial intelligence systems, big data systems, internet of things systems, blockchain systems.
Exercise 1.3: Compare and contrast the following software process models and life cycle phases: waterfall model, incremental model, iterative model, spiral model, agile model, DevOps model.
Exercise 1.4: Explain the importance and benefits of following the software engineering principles and standards. Give some examples of IEEE standards, ISO standards and CMMI standards for software engineering.
Chapter 2: Software Requirements Engineering
This chapter covers the concepts and techniques of software requirements engineering, which is the process of eliciting, analyzing, specifying, validating and managing the software requirements that define what a software system should do and how it should perform. The chapter also explains the characteristics of good software requirements, such as completeness, consistency, correctness, feasibility, modifiability, testability and traceability. The chapter also describes the techniques and tools for performing the various activities of software requirements engineering, such as interviews, questionnaires, observations, workshops, prototypes, use cases, user stories, scenarios, diagrams, models, specifications, checklists, reviews and tools. The chapter also discusses the types of software requirements documents and their contents, such as Software Requirements Specification (SRS), Software Design Document (SDD), Software Test Plan (STP), Software User Manual (SUM) and so on. The chapter also highlights the challenges and best practices of software requirements engineering, such as managing the changing requirements, dealing with the conflicting requirements, communicating with the stakeholders, balancing the functional and non-functional requirements, ensuring the quality and usability of the requirements and so on.
Some of the examples, case studies and exercises from this chapter are:
Example 2.1: A software requirement for an online banking system.
Example 2.2: A software requirement for an e-commerce system.
Example 2.3: A software requirement for a health monitoring system.
Example 2.4: A software requirement for a face recognition system.
Example 2.5: A software requirement for a sentiment analysis system.
Example 2.6: A software requirement for a smart home system.
Example 2.7: A software requirement for a cryptocurrency system.
Case Study 2.1: The failure of the London Ambulance Service Computer-Aided Dispatch system due to poor requirements engineering.
Case Study 2.2: The success of the Amazon Web Services cloud computing platform due to effective requirements engineering.
Exercise 2.1: Explain the meaning and importance of software requirements engineering. What are the main objectives and outcomes of software requirements engineering?
Exercise 2.2: List and explain the characteristics of good software requirements. Give some examples of good and bad software requirements.
Exercise 2.3: Describe the techniques and tools for performing the following activities of software requirements engineering: elicitation, analysis, specification, validation and management. Give some advantages and disadvantages of each technique and tool.
Exercise 2.4: Explain the types and contents of software requirements documents. Give some examples of software requirements documents for different types of software systems and applications.
Exercise 2.5: Discuss the challenges and best practices of software requirements engineering. How can you overcome or avoid the challenges and follow the best practices?
Chapter 3: System Modeling
This chapter covers the concepts and techniques of system modeling, which is the process of creating abstract representations of a software system using graphical notations, symbols, diagrams and models. System modeling is important for understanding, communicating, analyzing, designing and testing a software system from different perspectives, such as structural, behavioral, functional, non-functional, static, dynamic, logical and physical perspectives. The chapter also explains how to use Unified Modeling Language (UML), which is a standard graphical language for system modeling, with various types of UML diagrams, such as class diagram, object diagram, use case diagram, sequence diagram, collaboration diagram, state diagram, activity diagram, component diagram and deployment diagram. The chapter also describes how to apply system modeling techniques for different types of software systems and applications, such as embedded systems, web-based systems, mobile systems, artificial intelligence systems, big data systems, internet of things systems and blockchain systems.
Some of the examples, case studies and exercises from this chapter are:
Example 3.1: A class diagram for an online banking system.
Example 3.2: A use case diagram for an e-commerce system.
Example 3.3: A sequence diagram for a health monitoring system.
Example 3.4: A state diagram for a face recognition system.
Example 3.5: An activity diagram for a sentiment analysis system.
Example 3.6: A component diagram for a smart home system.
Example 3.7: A deployment diagram for a cryptocurrency system.
Case Study 3.1: The failure of the Therac-25 radiation therapy machine due to inadequate system modeling.
Case Study 3.2: The success of the Spotify music streaming service due to effective system modeling.
Exercise 3.1: Explain the meaning and importance of system modeling. What are the main objectives and benefits of system modeling?
Exercise 3.2: List and explain the different perspectives of system modeling. Give some examples of how to model a software system from different perspectives.
Exercise 3.3: Describe the features and components of Unified Modeling Language (UML). What are the advantages and disadvantages of using UML for system modeling?
Exercise 3.4: Explain the types and purposes of UML diagrams. Give some examples of UML diagrams for different types of software systems and applications.
71b2f0854b