Author : Elvis C. It adopts a methodical approach to solving software engineering problems, proven over several years of teaching, with outstanding results. The book covers concepts, principles, design, construction, implementation, and management issues of software engineering. Each chapter is organized systematically into brief, reader-friendly sections, with itemization of the important points to be remembered.
Diagrams and illustrations also sum up the salient points to enhance learning. New in the Second Edition are chapters on software engineering projects, management support systems, software engineering frameworks and patterns as a significant building block for the design and construction of contemporary software systems, and emerging software engineering frontiers. The text starts with an introduction of software engineering and the role of the software engineer.
The following chapters examine in-depth software analysis, design, development, implementation, and management. Covering object-oriented methodologies and the principles of object-oriented information engineering, the book reinforces an object-oriented approach to the early phases of the software development life cycle.
It covers various diagramming techniques and emphasizes object classification and object behavior. The text features comprehensive treatments of: Project management aids that are commonly used in software engineering An overview of the software design phase, including a discussion of the software design process, design strategies, architectural design, interface design, database design, and design and development standards User interface design Operations design Design considerations including system catalog, product documentation, user message management, design for real-time software, design for reuse, system security, and the agile effect Human resource management from a software engineering perspective Software economics Software implementation issues that range from operating environments to the marketing of software Software maintenance, legacy systems, and re-engineering This textbook can be used as a one-semester or two-semester course in software engineering, augmented with an appropriate CASE or RAD tool.
It emphasizes a practical, methodical approach to software engineering, avoiding an overkill of theoretical calculations where possible. The primary objective is to help students gain a solid grasp of the activities in the software development life cycle to be confident about taking on new software engineering projects. The author hopes that after reading this book, the reader can understand the concepts and techniques to analyze and design the systems.
In general, there are 2 two main methods that most often used in system development: structured and object-oriented methods. The book explains a significant paradigm difference between the two methods of analyzing and designing the systems.
The author expects the readers can distinguish that paradigm as well as analyze and design using both methods. The book structure starts from the concept to technical. The UML has proven its ability to document and model the systems on a large, medium, and small scale.
Author : James B. Going beyond a strictly geographical focus, this book sets GIS in the context of business information systems and other business sub-disciplines such as logistics, marketing, finance, and strategic management.
It presents from an organizational perspective the advantages of spatially enabling existing enterprise systems and illustrates how GIS is applied in the real world through rigorous case study analyses of twenty companies.
The 31 full revised papers included were selected from a total of submissions; also included are some industrial-track papers, contributed by partners of several ESPRIT projects.
The volume is organized in topical sections on data mining, active databases, design tools, advanced DBMS, optimization, warehousing, system issues, temporal databases, the web and hypermedia, performance, workflow management, database design, and parallel databases.
In particular, the book covers fundamental topics in the field such as distributed databases, parallel databases, advanced databases, object-oriented databases, advanced transaction management, workflow management, data warehousing, data mining, mobile computing, data integration and the Web. Summing up, the Handbook is a valuable source of information for academics and practitioners who are interested in learning the key ideas in the considered area.
The book focuses on the core issues that public administrators face when using information and communication technologies ICTs to produce and deliver public service, and to facilitate democratic governance, including efficiency, effectiveness, transparency, and accountability. Offering insight into effectively managing growing complexity and fragmentation in digital technology, this book provides practical management strategies to address external and internal challenges of digital governance.
External challenges include digital inclusiveness, open government, and citizen-centric government; internal ones include information and knowledge management, risk management for digital security and privacy, and performance management of information technologies.
Unique in its firm grounding in public administration and management literature and its synergistic combination of theory and practice, Managing Digital Governance identifies future trends and ways to develop corresponding capacity while offering enduring lessons and time-tested digital governance management strategies. Modern Database Management Solution Book. This site is like a library, Use search box in the widget to get ebook that you want. This time is necessary for searching and sorting links.
Using Figure as a starting point, have the students provide some good examples of data and information from their own experiences. Introduce the concept of metadata using Table Ask the students to suggest other metadata that might be appropriate for this example.
Discuss file processing systems and their limitations, using Figure and Table Emphasize that many of these systems are still in use today.
Introduce data models using Figure Discuss the differences between an enterprise data model and a project data model, using Figures a and b. Discuss each of the advantages of the database approach Table Stress that these advantages can only be achieved through strong organizational planning and commitment. Also discuss the costs and risks of the database approach Table Introduce the students to the major components of the database environment Figure Introduce the concept of a data warehouse as a type of enterprise database.
This topic is described in detail in Chapter 9. Review the evolution of database technologies and the significance of each era Figure 1- Add your own perspective to the directions that this field is likely to take in the future. You may also provide them with an understanding of where the DBMS software and their data will be stored at your school as an illustration. A quick in-class demo of Microsoft Access or similar product is useful to give the students an initial exposure to a DBMS and demonstrate a prototyping approach to database development.
Consider using the PVFC prototyping request as an example. If time permits, have the students answer several problems and exercises in class.
Use the project case to reinforce concepts discussed in class. Students can be assigned to work on this case in class if time permits, or it can be used as a homework assignment. If time permits, use Teradata University Network resources to demonstrate the structure and contents of a relational database for some of the textbook datasets.
Demonstrate, or lead students through, some simple SQL retrieval exercises against the textbook databases. Answers to Review Questions Define each of the following key terms: a. Data that have been processed in such a way as to increase the knowledge of the person who uses it. Data that describes the properties or characteristics of end-user data and the context of that data. Enterprise resource planning ERP. A class of systems that integrate all functions of the enterprise, such as manufacturing, sales, finance, marketing, inventory, accounting, and human resources.
Data warehouse. An integrated decision support database whose content is derived from the various operational databases. A rule that cannot be violated by database users. An organized collection of logically related data.
Entity A person, place, object, event, or concept in the user environment about which the organization wishes to maintain data. Database management system. A software system that is used to create, maintain, and provide controlled access to user databases. A local area network-based environment in which database software on a server called a database server or database engine performs database commands sent to it from client workstations, and application programs on each client concentrate on user interface functions.
Systems development life cycle SDLC. A traditional methodology used to develop, maintain, and replace information systems.
An iterative process of systems development in which requirements are converted to a working system that is continually revised through close work between analysts and users. Enterprise data model. The first step in database development, in which the scope and general contents of organizational databases are specified.
Conceptual data model. A detailed, technology-independent specification of the overall structure of organizational data. Logical data model. The representation of data for a particular data management technology such as the relational model.
In the case of a relational data model, elements include tables, columns, rows, primary and foreign keys, as well as constraints. Physical data model. There is one physical data model or schema for each logical data model. Match the following terms and definitions: c data b database application l constraint g repository f metadata m data warehouse a information j user view k database management system h data independence e database i enterprise resource planning ERP r systems development life cycle SDLC o prototyping d enterprise data model q conceptual schema p internal schema n external schema Contrast the following terms: a.
Data dependence; data independence. With data dependence, data descriptions are included with the application programs that use the data, while with data independence the data descriptions are separated from the application programs. Structured data; unstructured data. Data; information. Data consist of facts, text, and other multimedia objects, while information is data that have been processed in such a way that it can increase the knowledge of the person who uses it.
Repository; database. A repository provides centralized storage for all data definitions, data relationships, and other system components, while a database is an organized collection of logically related data. Entity; enterprise data model. An entity is an object or concept that is important to the business, while an enterprise data model is a graphical model that shows the high- level entities for the organization and the relationship among those entities.
Data warehouse; ERP system. Both use enterprise level data. Data warehouses store historical data at a chosen level of granularity or detail, and are used for data analysis purposes, to discover relationships and correlations about customers, products, and so forth that may be used in strategic decision making.
Personal databases; multitier databases. A personal database is intended for a single user to manage small amounts of data in an efficient manner, and it resides on a personal computing device such as a laptop or a smart phone. Multitier databases share multiple sometimes very large numbers of users. They house the user interface on client devices and the business logic may be maintained on multiple server layers to accomplish the business transactions requested by client devices.
Systems development life cycle; prototyping. Both are systems development processes. The SDLC is a methodical, highly structured approach that includes many checks and balances. Consequently, the SDLC is often criticized for the length of time needed until a working system is produced, which occurs only at the end of the process. Increasingly, organizations use more rapid application development RAD processes, which follow an iterative process of rapidly repeating analysis, design, and implementation steps until you converge on the system the user wants.
Prototyping is a widely used method within RAD. In prototyping, a database and its applications are iteratively refined through a close interaction of systems developers and users. Enterprise data model; conceptual data model. In an enterprise data model, the range and contents of the organizational databases are set.
Generally, the enterprise data model represents all of the entities and relationships. The conceptual data model extends the enterprise data model further by combining all of the various user views and then representing the organizational databases using ER diagrams. Prototyping; Agile software development. Prototyping is a rapid application development RAD method where a database and its application s are iteratively refined through analysis, design, and implementation cycles with systems developers and end users.
Agile software development is a method that shares an emphasis on iterative development with the prototyping method yet further emphasizes the people and rapidity of response in its process.
Five disadvantages of file processing systems: a. Program-data dependence b. Duplication of data c. The Art of Public Speaking 12th Edition. Introduction This policy implements the procedures set forth in 17 U. It is the policy of the Company to respect the legitimate rights of copyright owners, their agents, and representatives.
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