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Chapter 1 Assuming the Role of the Systems Analyst. Systems Analysis and Design Kendall & Kendall Sixth Edition. Modern Systems Analysis and Design Fourth Edition Jeffrey A. Hoffer Joey F. George Joseph S. Valacich. Chapter 1 The Systems Development Environment. Major Topics.
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Chapter 1Assuming the Role of the Systems Analyst Systems Analysis and Design Kendall & Kendall Sixth Edition
Modern Systems Analysisand DesignFourth EditionJeffrey A. Hoffer Joey F. GeorgeJoseph S. Valacich Chapter 1 The Systems Development Environment
Major Topics • Information systems • Phases of analysis and design • System maintenance • CASE tools • Alternate methodologies 2005 Pearson Prentice Hall
Information • Information is an organizational resource, which must be managed as carefully as other resources. • Costs are associated with information processing. • Information processing must be managed to take full advantage of its potential. 2005 Pearson Prentice Hall
Information Systems Analysis and Design • Complex organizational process whereby computer-based information systems are developed and maintained • Application Software • Computer software designed to support organizational functions or processes • Systems Analyst • Organizational role most responsible for analysis and design of information systems
A Modern Approach to Systems Analysis and Design • 1950s: focus on efficient automation of existing processes • 1960s: advent of 3GL, faster and more reliable computers • 1970s: system development becomes more like an engineering discipline • 1980s: major breakthrough with 4GL, CASE tools, object oriented methods • 1990s: focus on system integration, GUI applications, client/server platforms, Internet • The new century: Web application development, wireless PDAs, component-based applications
Categories Information systems fall into one of the following eight categories: • Transaction processing systems (TPS). • Office automation systems (OAS). • Knowledge work systems (KWS). • Management information systems (MIS). • Decision support systems (DSS). • Expert systems (ES) and Artificial Intelligence (AI). • Group decision support systems (GDSS) and Computer-Supported Collaborative Work Systems. • Executive support systems (EES). 2005 Pearson Prentice Hall
Types of Information Systemsand Systems Development • Transaction Processing Systems (TPS) • Automate handling of data about business activities (transactions) • Process orientation • Management Information Systems (MIS) • Converts raw data from transaction processing system into meaningful form • Data orientation • Decision Support Systems (DSS) • Designed to help decision makers • Provides interactive environment for decision making • Involves data warehouses, executive information systems (EIS) • Database, model base, user dialogue
New Technologies New technologies are being integrated into traditional systems: • Ecommerce uses the Web to perform business activities. • Enterprise Resource Planning (ERP) has the goal of integrating many different information systems within the corporation. • Wireless and handheld devices, including mobile commerce (mcommerce). • Open source software. 2005 Pearson Prentice Hall
Advantages of Using the Web The benefits of using the Web are: • Increasing awareness of the availability of the service, product, industry, person, or group. • 24-hour access for users. • Standard interface design. • Creating a global system. 2005 Pearson Prentice Hall
Nature of Analysis and Design Systems analysis and design is a systematic approach to: • Identifying problems, opportunities, and objectives. • Analyzing the information flows in organizations. • Designing computerized information systems to solve a problem. 2005 Pearson Prentice Hall
Systems Analyst • Systems analysts act as: • Outside consultants to businesses. • Supporting experts within a business. • As change agents. • Analysts are problem solvers, and require communication skills. • Analysts must be ethical with users and customers. 2005 Pearson Prentice Hall
Developing Information Systems and the SDLC System Development Methodology • Standard process followed in an organization • Consists of: • Analysis • Design • Implementation • Maintenance
Systems Development Life Cycle (SDLC) • Traditional methodology for developing, maintaining, and replacing information systems • Phases in SDLC: • Planning • Analysis • Design • Implementation • Maintenance Hoffer, George & Valacich
Traditional Waterfall SDLC One phase begins when another completes, little backtracking and looping
Problems with Waterfall Approach • System requirements “locked in” after being determined (can't change) • Limited user involvement (only in requirements phase) • Too much focus on milestone deadlines of SDLC phases to the detriment of sound development practices
Alternatives to Traditional Waterfall SDLC • Prototyping • CASE tools • Joint Application Design (JAD) • Rapid Application Development (RAD) • Agile Methodologies • eXtreme Programming • ETHICS. • Project Champions. • Soft Systems Methodology. • Multi-view.
Systems Development Life Cycle • The systems development life cycle is a systematic approach to solving business problems. • It is divided into seven phases. • Each phase has unique activities. • Kendall & Kendall 2005 Pearson Prentice Hall
Phase 1 • Identifying: • Problems. • Opportunities. • Objectives. • Personnel involved: • Analyst. • User management. • Systems management. 2005 Pearson Prentice Hall
Phase 2 • Determining information requirements: • Interview management, operations personnel. • Gather systems/operating documents. • Use questionnaires. • Observe the system and personnel involved. • Learn the who, what, where, when, and how, and the why for each of these. 2005 Pearson Prentice Hall
Phase 2 (Continued) • Personnel involved: • Analyst. • User management. • User operations workers. • Systems management. 2005 Pearson Prentice Hall
Phase 3 • Analyzing system needs: • Create data flow diagrams. • Document procedural logic for data flow diagram processes. • Complete the data dictionary. • Make semistructured decisions. • Prepare and present the system proposal. • Recommend the optimal solution to management. 2005 Pearson Prentice Hall
Phase 3 (Continued) • Personnel involved: • Analyst. • User management. • Systems management. 2005 Pearson Prentice Hall
Phase 4 • Designing the recommended system: • Design the user interface. • Design output. • Design input. • Design system controls. • Design files and/or database. • Produce program specifications. • Produce decision trees or tables. 2005 Pearson Prentice Hall
Phase 4 (Continued) • Personnel involved: • Analyst. • System designer. • User management. • User operations workers. • Systems management. 2005 Pearson Prentice Hall
Phase 5 • Developing and documenting software: • Design computer programs using structure charts, Nassi-Schneiderman charts, and pseudocode. • Walkthrough program design. • Write computer programs. • Document software with help files, procedure manuals, and Web sites with Frequently Asked Questions. 2005 Pearson Prentice Hall
Phase 5 (Continued) • Personnel involved: • Analyst. • System designer. • Programmers. • Systems management. 2005 Pearson Prentice Hall
Phase 6 • Testing and maintaining the system: • Test and debug computer programs. • Test the computer system. • Enhance system. 2005 Pearson Prentice Hall
Phase 6 (Continued) • Personnel involved: • Analyst. • System designer. • Programmers. • Systems management. 2005 Pearson Prentice Hall
Phase 7 • Implementing and evaluating the system: • Plan conversion. • Train users. • Purchase and install new equipment. • Convert files. • Install system. • Review and evaluate system. 2005 Pearson Prentice Hall
Phase 7 (Continued) • Personnel involved: • Analyst. • System designer. • Programmers. • User management. • User operations workers. • Systems management. 2005 Pearson Prentice Hall
System Maintenance • System maintenance is: • Removing undetected errors, and • Enhancing existing software. • Time spent on maintenance typically ranges from 48-60 percent of total time. 2005 Pearson Prentice Hall
System Enhancements Systems are enhanced for the following reasons: • Adding additional features to the system. • Business and governmental requirements change over time. • Technology, hardware, and software are rapidly changing. 2005 Pearson Prentice Hall
The Heart of the Systems Development Process Current practice combines analysis, design, and implementation into a single iterative and parallel process of activities
Joint Application Design (JAD) • Structured process involving users, analysts, and managers • Several-day intensive workgroup sessions • Purpose: to specify or review system requirements
Rapid Application Development (RAD) • Methodology to decrease design and implementation time • Involves: prototyping, JAD, CASE tools, and code generators
Prototyping Iterative development process: Requirements quickly converted to a working system System is continually revised Close collaboration between users and analysts
Agile Methodologies • Motivated by recognition of software development as fluid, unpredictable, and dynamic • Three key principles • Adaptive rather than predictive • Emphasize people rather than roles • Self-adaptive processes
eXtreme Programming (XP) • Extreme programming takes good software development practices and pushes them to the limit. • It is based on: • Values. • Principles. • Core practices. 2005 Pearson Prentice Hall
eXtreme Programming • Short, incremental development cycles • Automated tests • Two-person programming teams • Coding and testing operate together • Advantages: • Communication between developers • High level of productivity • High-quality code
Extreme Programming (XP) (Continued) • Extreme programming values are: • Communication. • Simplicity. • Feedback. • Courage. 2005 Pearson Prentice Hall
Object-Oriented Analysis and Design • Object-oriented (O-O) analysis and design is used to build object-oriented programs. • O-O programming examines the objects of a system. • Objects are grouped into classes for optimal reuse and maintainability. 2005 Pearson Prentice Hall
Based on objects rather than data or processes • Object: a structure encapsulating attributes and behaviors of a real-world entity • Object class: a logical grouping of objects sharing the same attributes and behaviors • Inheritance: hierarchical arrangement of classes enable subclasses to inherit properties of superclasses