Systems Development Life Cycle (SDLC) Overview
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Questions and Answers

Which phase is NOT one of the seven phases of the System Development Life Cycle (SDLC)?

  • Implementation
  • Evaluation (correct)
  • Design
  • Testing
  • The Agile Model is one of the basic types of SDLC models.

    True

    What is the primary role of a System Analyst?

    To plan, develop, and maintain information systems.

    Which of the following is a benefit of Structured Analysis?

    <p>Improved communication</p> Signup and view all the answers

    In the project management triangle, the three key components are Scope, Time, and ____.

    <p>Cost</p> Signup and view all the answers

    All stakeholders are always satisfied with the outcomes of a project.

    <p>False</p> Signup and view all the answers

    Match the following SDLC models with their brief description:

    <p>Waterfall Model = Sequential design process Spiral Model = Iterative model with risk assessment Big Bang Model = No formal planning V-Model = Testing phase corresponds with each development stage</p> Signup and view all the answers

    What is the purpose of a Data Flow Diagram (DFD)?

    <p>To visually represent the flow of data within a system.</p> Signup and view all the answers

    Which of the following benefits is associated with the System Life Cycle?

    <p>Enhances Product Quality</p> Signup and view all the answers

    Gantt charts are tools used for project management to stay on track.

    <p>True</p> Signup and view all the answers

    The primary aim of ________ design is to convert raw data into a computer-based format.

    <p>Input</p> Signup and view all the answers

    Name one tool used in Systems Analysis.

    <p>Data Flow Diagrams, Entity-Relationship Diagrams, UML, or any other listed tool.</p> Signup and view all the answers

    Match the following benefits of Data Modeling with their descriptions:

    <p>Simplifies data = Makes complex data easier to understand Avoid redundancy = Prevents duplicate data entries Improved data integrity = Ensures data accuracy and consistency Data sharing = Facilitates the distribution of data among users</p> Signup and view all the answers

    Which of the following is NOT an attribute of Structured Analysis?

    <p>Non-linear</p> Signup and view all the answers

    The Dynamic View is one of the three orthogonal views in Structured Analysis.

    <p>True</p> Signup and view all the answers

    Name one tool used in Structured Analysis.

    <p>Data flow diagram, Decision tables, or Decision trees.</p> Signup and view all the answers

    Study Notes

    Systems Life Cycle (SLDC)

    • Conceptual model for project management
    • Stages from initial study to maintenance

    7 Phases of SDLC

    • Planning
    • Analysis/Feasibility
    • Design
    • Development
    • Testing
    • Implementation
    • Maintenance

    6 Basic Types of SDLC Models

    Waterfall Model

    • Linear, structured, sequential approach
    • Separate project plans for each stage
    • Suitable for projects with well-defined goals and timelines
    • No feedback loop

    Iterative Model

    • Improvements and changes possible at each stage
    • Suitable for repeating development cycles
    • Early feedback facilitates adjustments
    • Easier to incorporate changes

    Spiral Model

    • Combines waterfall and iterative approaches
    • Uses repeated cycles or loops
    • Four phases: Planning, Risk Analysis, Development, Evaluation

    V-Model

    • Variation of waterfall model
    • Each phase has a corresponding testing phase
    • Verification Phase: Business requirements, design, architecture, module design, coding
    • Validation Phase: Unit, integration, system, acceptance testing

    Big Bang Model

    • Simplest model
    • Combines all efforts, time, and resources
    • Integrate individual modules for a unified overview
    • Use for projects with clearly defined requirements and expectations
    • Not suitable for projects with unclear user expectations or requirements

    Agile Model

    • Popular model emphasizing collaboration
    • Focuses on small, iterative changes
    • Includes phases: Plan, design, develop, test, deploy, review, launch
    • Utilizes methods like Scrum, Crystal, Kanban, Extreme Programming, DSDM, Lean software development, Feature-Driven Development

    Benefits of System Life Cycle

    • Enhanced product quality
    • Improved project management
    • Effective risk management
    • Improved communication and collaboration
    • Efficient resource utilization
    • Flexibility and adaptability

    Systems Analysis & Design (SAD)

    • Structured approach for IS development, maintenance, improvement
    • System Analysts plan, develop, and maintain ISs
    • Benefits include: Improved efficiency, better decision-making, cost savings, alignment to business goals

    Tools and Techniques in Systems Analysis

    Data Flow Diagrams (DFDs)

    • Visual representation of data movement in a system
    • Illustrates problem analysis, abstraction, hierarchy, data flow, modularity

    Entity-Relationship Diagrams (ERDs)

    • Flowchart depicting relationships between entities in a system
    • Used in relational database design and debugging

    Unified Modeling Language (UML)

    • Standard notation for object-oriented analysis and design
    • Examples include Class diagrams, Use case diagrams, Sequence diagrams, Activity diagrams

    Database Design in SAD

    • Conceptual, logical, and physical design stages

    System Security and Controls

    • Authentication verifies user access (passwords, biometrics, two-factor, token-based)
    • Authorization restricts access based on roles (RBAC, ABAC)
    • Encryption protects data confidentiality (symmetric, asymmetric)
    • Auditing tracks system activities and potential intrusions

    Disaster Recovery

    • Plans for system restoration after catastrophic events
    • Include backup systems, recovery plans, redundancy

    Compliance

    • Adherence to regulations (GDPR, HIPAA, PCI DSS)

    Ethical Considerations in SAD

    • User trust and privacy (protection of user data, unauthorized access prevention)
    • Compliance with laws and regulations (Avoiding potential legal issues, maintaining reputation)
    • Stakeholder interests and impact (Balancing diverse needs)
    • Unintended effects on society, individuals, and environment
    • Professional integrity and reputation (High ethical standards)
    • Cloud computing (scalability, cost-efficiency, collaboration)
    • Internet of Things (integration of devices, automation, user interfaces)
    • AI and Machine learning (enhancing capabilities, automating tasks)
    • Big Data (analyzing large volumes)

    Structured Analysis Methodology

    • Uses graphical diagrams to depict system specifications
    • Attributes include graphical, hierarchical, logical, and modular systems

    Data Modeling

    • Creating visual representation of an organization's data
    • Benefits include simplified data, reduced redundancy, improved data integrity, data sharing, and improved data reporting

    Input and Output Design

    • Input Design: Converting raw data to computer format
    • Objectives: Design data entry and capture procedures, reduce input volume
    • Output Design: Defining, formatting, and delivering generated information
    • Objectives: Provide accurate information, meet user requirements, aid decision-making, support multiple formats

    SA Major Processes

    • Study current business environment
    • Modeling old and new logical systems
    • Modeling new physical environments
    • Evaluating alternatives
    • Selecting best design
    • Creating structure specifications

    Techniques from 3 Orthogonal Views (SA Process)

    • Functional View (Defines work done and data flow)
    • Data View (Entity-Relationship diagrams)
    • Dynamic View (Transition diagrams, conditions)

    Data Modeling Benefits

    • Simplification
    • Avoidance of redundancy
    • Improved data integrity
    • Data sharing
    • Improved data reports

    Physical and Logical Data

    • Physical Data: How data model is built in the database
    • Logical Data: Detailed description of data elements and connections

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    Description

    This quiz covers the Systems Development Life Cycle (SDLC), detailing its phases from planning to maintenance. It also explores various SDLC models such as Waterfall, Iterative, Spiral, and V-Model, emphasizing their unique features and suitable project scenarios.

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