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Introduction to Software Engineering Design

Processes, Principles, and Patterns with UML2

The focus of Introduction to Software Engineering Design is the processes, principles and practices used to design software products. KEY TOPICS: The discipline of design, generic design processes, and managing design are introduced in Part I. Part II covers software product design, use case modeling, and user interface design. Part III of the book is its core and covers enginnering data anyalysis, including conceptual modeling, and both architectural and detailed engineering design. MARKET: This book is for anyone interested in learning software design.

Part III of the book is its core and covers enginnering data anyalysis, including conceptual modeling, and both architectural and detailed engineering design. MARKET: This book is for anyone interested in learning software design.

Fundamentals of Software Engineering

Appropriate for both undergraduate and graduate introductory software engineering courses found in Computer Science and Computer Engineering departments. This text provides selective, in-depth coverage of the fundamentals of software engineering by stressing principles and methods through rigorous formal and informal approaches. The authors emphasize, identify, and apply fundamental principles that are applicable throughout the software lifecycle, in contrast to other texts which are based in the lifecycle model of software development. This emphasis enables students to respond to the rapid changes in technology that are common today.

This text provides selective, in-depth coverage of the fundamentals of software engineering by stressing principles and methods through rigorous formal and informal approaches.

Engineering Software Products: An Introduction to Modern Software Engineering, eBook, Global Edition

For one-semester courses in software engineering. Introduces software engineering techniques for developing software products and apps With Engineering Software Products, author Ian Sommerville takes a unique approach to teaching software engineering and focuses on the type of software products and apps that are familiar to students, rather than focusing on project-based techniques. Written in an informal style, this book focuses on software engineering techniques that are relevant for software product engineering. Topics covered include personas and scenarios, cloud-based software, microservices, security and privacy and DevOps. The text is designed for students taking their first course in software engineering with experience in programming using a modern programming language such as Java, Python or Ruby. The full text downloaded to your computer With eBooks you can: search for key concepts, words and phrases make highlights and notes as you study share your notes with friends eBooks are downloaded to your computer and accessible either offline through the Bookshelf (available as a free download), available online and also via the iPad and Android apps. Upon purchase, you'll gain instant access to this eBook. Time limit The eBooks products do not have an expiry date. You will continue to access your digital ebook products whilst you have your Bookshelf installed.

Written in an informal style, this book focuses on software engineering techniques that are relevant for software product engineering.

Software Engineering

Our new Indian original book on software engineering covers conventional as well as current methodologies of software development to explain core concepts, with a number of case studies and worked-out examples interspersed among the chapters. Current industry practices followed in development, such as computer aided software engineering, have also been included, as are important topics like ‘Widget based GUI' and ‘Windows Management System'. The book also has coverage on interdisciplinary topics in software engineering that will be useful for software professionals, such as ‘quality management', ‘project management', ‘metrics' and ‘quality standards'. Features Covers both function oriented as well as object oriented (OO) approach Emphasis on emerging areas such as ‘Web engineering’, ‘software maintenance’ and ‘component based software engineering’ A number of line diagrams and examples Case Studies on the ATM system and milk dispenser Includes multiple-choice, objective-type questions and frequently asked questions with answers.

The book also has coverage on interdisciplinary topics in software engineering that will be useful for software professionals, such as ‘quality management', ‘project management', ‘metrics' and ‘quality standards'.

Introduction to Database Management Systems

Introduction to Database Management Systems is designed specifically for a single semester, namely, the first course on Database Systems. The book covers all the essential aspects of database systems, and also covers the areas of RDBMS. The book in.

The book covers all the essential aspects of database systems, and also covers the areas of RDBMS. The book in.

Hoffer:Modern Database Management International Edition_p11

For undergraduate and graduate database management courses. Provide the latest information in database development. Focusing on what leading database practitioners say are the most important aspects to database development, Modern Database Management presents sound pedagogy and includes topics that are critical for the practical success of database professionals. This text also continues to guide students into the future by presenting research that could reveal the “next big thing” in database management. The eleventh edition contains general updates and expanded material in the areas undergoing rapid change due to improved managerial practices, database design tools and methodologies, and database technology.

This text also continues to guide students into the future by presenting research that could reveal the “next big thing” in database management.

Multivariate Data Analysis: Pearson New International Edition PDF eBook

For graduate and upper-level undergraduate marketing research courses. For over 30 years, this text has provided students with the information they need to understand and apply multivariate data analysis. The authors provide an applications-oriented introduction to multivariate analysis for the non-statistician. By reducing heavy statistical research into fundamental concepts, the text explains to students how to understand and make use of the results of specific statistical techniques. In this 7th Edition, the organisation of the chapters has been greatly simplified. New chapters have been added on structural equations modeling, and all sections have been updated to reflect advances in technology, capability, and mathematical techniques. The full text downloaded to your computer With eBooks you can: search for key concepts, words and phrases make highlights and notes as you study share your notes with friends eBooks are downloaded to your computer and accessible either offline through the Bookshelf (available as a free download), available online and also via the iPad and Android apps. Upon purchase, you will receive via email the code and instructions on how to access this product. Time limit The eBooks products do not have an expiry date. You will continue to access your digital ebook products whilst you have your Bookshelf installed.

For graduate and upper-level undergraduate marketing research courses. For over 30 years, this text has provided students with the information they need to understand and apply multivariate data analysis.

Applied Multivariate Statistical Analysis (Classic Version)

This title is part of the Pearson Modern Classics series. Pearson Modern Classics are acclaimed titles at a value price. Please visit www.pearsonhighered.com/math-classics-series for a complete list of titles. For courses in Multivariate Statistics, Marketing Research, Intermediate Business Statistics, Statistics in Education, and graduate-level courses in Experimental Design and Statistics. Appropriate for experimental scientists in a variety of disciplines, this market-leading text offers a readable introduction to the statistical analysis of multivariate observations. Its primary goal is to impart the knowledge necessary to make proper interpretations and select appropriate techniques for analyzing multivariate data. Ideal for a junior/senior or graduate level course that explores the statistical methods for describing and analyzing multivariate data, the text assumes two or more statistics courses as a prerequisite.

Appropriate for experimental scientists in a variety of disciplines, this market-leading text offers a readable introduction to the statistical analysis of multivariate observations.

Multivariate Data Analysis

Offering an applications-oriented approach which focuses on the use of each technique rather than its mathematical derivation, this textbook introduces a six-step framework for organising and discussing multivariate data analysis techniques.

Offering an applications-oriented approach which focuses on the use of each technique rather than its mathematical derivation, this textbook introduces a six-step framework for organising and discussing multivariate data analysis techniques ...