Software Development Models

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Questions and Answers

In a scenario where project requirements are likely to change significantly throughout the development lifecycle, which software development model would be most appropriate?

  • V-Model
  • Spiral Model
  • Waterfall Model
  • Agile Model (correct)

Which of the following is a key consideration for system architecture related to ensuring continuous service availability even in the event of component failure?

  • Scalability
  • Performance Optimization
  • High Availability (correct)
  • Authentication

An organization wants to integrate several independent applications to work together by using a central point of communication. What integration strategy is most suitable?

  • Enterprise Service Bus (ESB) (correct)
  • Point-to-Point (P2P)
  • Event-Driven Architecture (EDA)
  • API-First Approach

When deciding to use containerization over virtualization, what is the primary advantage one should consider?

<p>Improved hardware resource utilization (D)</p> Signup and view all the answers

Which type of requirement defines how well a system performs, including aspects like speed, reliability, and scalability?

<p>Non-Functional Requirements (A)</p> Signup and view all the answers

A project team needs to gather detailed requirements from a diverse group of stakeholders with potentially conflicting opinions. Which requirements gathering technique would be most effective to facilitate a collaborative discussion and reach a consensus?

<p>Focus Group Discussions (FGD) (A)</p> Signup and view all the answers

What is the primary goal of a feasibility study in the requirements engineering process?

<p>Assessing the project's technical, operational, and economic viability (A)</p> Signup and view all the answers

Which requirements prioritization method involves categorizing requirements into 'Must-have', 'Should-have', 'Could-have', and 'Won't-have' categories?

<p>MOSCOW Method (C)</p> Signup and view all the answers

An architect is designing a system where the user interface, application logic, and data storage are separated into distinct components. Which architectural pattern is being implemented?

<p>Layered Architecture (D)</p> Signup and view all the answers

What security practice involves verifying the identity of a user or device and then determining what resources they are permitted to access?

<p>Authentication &amp; Authorization (B)</p> Signup and view all the answers

Flashcards

SDLC phases

Planning, Analysis, Design, Implementation, Testing, Deployment, Maintenance

Agile Model

Iterative, flexible, continuous feedback, customer collaboration

Spiral Model

Risk-driven, iterative, best for large projects with evolving requirements

V-Model

Validation and verification at each phase for structured projects

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DevOps (CI/CD)

Continuous Integration & Continuous Deployment for automation and faster releases

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Cloud Computing Models

Public, Private, Hybrid Cloud

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Functional Requirements

Define what the system should do (e.g., user authentication, reporting, transactions)

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Non-Functional Requirements

Define how the system should perform (e.g., security, scalability, usability)

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Requirements Validation

Ensuring accuracy, completeness, and consistency of requirements

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Requirements Management

Tracking and controlling changes to requirements throughout the project

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Study Notes

Advanced Systems Development Principles

  • Software development follows specific models to streamline the process

Software Development Models

  • Software Development Life Cycle (SDLC) phases include Planning, Analysis, Design, Implementation, Testing, Deployment, and Maintenance
  • The Waterfall model is best for well-defined projects due to its linear and rigid structure
  • The Agile model is iterative, flexible, provides continuous feedback, and encourages customer collaboration
  • The Spiral model is risk-driven, iterative, and suitable for large projects with evolving requirements
  • The V-Model focuses on validation and verification at each phase for structured projects
  • DevOps (CI/CD) enables Continuous Integration & Continuous Deployment for automation and faster releases

System Architecture and Integration

  • Principles of System Architecture include Scalability, High Availability, Fault Tolerance, and Performance Optimization
  • Security best practices include Authentication, Encryption, Access Control, and Multi-Factor Authentication (MFA)
  • Point-to-Point (P2P) integration involves a direct system-to-system connection
  • Enterprise Service Bus (ESB) is a centralized integration hub for multiple applications
  • Event-Driven Architecture (EDA) allows Asynchronous communication for real-time processing
  • The API-First Approach uses RESTful API-based integration for flexibility
  • ETL (Extract, Transform, Load) is used for large-scale data integration and analytics

System Deployment and Cloud Computing

  • Containerization (Docker) differs from Virtualization (Virtual Machines or VMs)
  • Infrastructure as Code (IaC) automates deployment using Terraform and AWS CloudFormation
  • Cloud Computing Models include Public, Private, and Hybrid Cloud options
  • Performance Optimization Strategies involve Load Balancing, Database Replication, and Caching

Requirements Analysis and Engineering

  • It focuses on identifying and defining what a system should do and how it should perform

Types of Requirements

  • Functional Requirements define what the system should do, such as user authentication, reporting, and transactions
  • Non-Functional Requirements define how the system should perform, including aspects like security, scalability, and usability
  • Technical Requirements cover infrastructure, database, and software dependencies
  • Business Requirements are linked to the business goals that guide system development
  • Regulatory & Compliance Requirements adhere to industry standards, security policies, and legal constraints

Requirements Gathering Techniques

  • Interviews involve one-on-one discussions with stakeholders
  • Surveys & Questionnaires collect structured responses from users
  • Observation involves watching users interact with existing systems
  • Document Analysis includes reviewing existing system documents and reports
  • Prototyping involves building a functional model for early user feedback
  • Focus Group Discussions (FGD) engage stakeholders to discuss system needs

Requirements Engineering Process

  • A Feasibility Study assesses if the project is technically, operationally, and economically viable
  • Requirements Elicitation involves gathering system requirements from stakeholders
  • Requirements Specification documents requirements in a structured format (e.g., Software Requirements Specification - SRS)
  • Requirements Validation ensures accuracy, completeness, and consistency of requirements
  • Requirements Management focuses on tracking and controlling changes to requirements throughout the project

Requirements Prioritization Methods

  • MOSCOW Method categorizes requirements as Must-have, Should-have, Could-have, and Won't-have
  • The Kano Model categorizes basic, performance, and exciting requirements
  • Cost-Benefit Analysis evaluates feasibility based on cost vs. value

Challenges in Requirements Engineering

  • Ambiguous Requirements arise from unclear expectations from stakeholders
  • Conflicting Stakeholder Needs involve balancing different business and user priorities
  • Evolving Requirements involve handling changes during development without project delays
  • Overlooking Non-Functional Requirements involves ensuring security, performance, and usability are defined

Architectural Modeling and Design

  • It involves creating models and patterns to design software architecture

System Modeling Techniques

  • Structural Models use class diagrams and component diagrams
  • Behavioral Models use case diagrams and sequence diagrams
  • Functional Models use data flow diagrams (DFDs)
  • Data Models use Entity-Relationship Diagrams (ERDS)
  • Physical Models use deployment diagrams and network topology diagrams

Software Architecture Patterns

  • Layered Architecture organizes software into Presentation, Business Logic, and Data layers
  • Client-Server Architecture separates the frontend (client) from the backend (server)
  • Microservices Architecture uses independent, modular services that communicate via APIs
  • Event-Driven Architecture (EDA) enables asynchronous, event-based message processing
  • Model-View-Controller (MVC) separates UI, logic, and data handling
  • Master-Slave Architecture has a master system controlling multiple slaves for parallel processing

High-Level System Design Principles

  • System Architecture Planning involves designing system components and their interactions
  • Data Flow Diagrams (DFDs) visualize data movement across the system
  • Interface Design defines APIs and system interactions
  • Technology Stack Selection involves choosing programming languages, frameworks, and databases
  • Deployment Architecture includes cloud hosting, on-premises servers, and hybrid models

Security and Performance Considerations in Architecture

  • Authentication & Authorization involves Multi-Factor Authentication (MFA) and Role-Based Access Control (RBAC)
  • Encryption Mechanisms use secure communication using TLS, SSL, and database encryption
  • Logging and Monitoring tracks system activities for security and auditing
  • Load Balancing & Database Replication involves distributing traffic and maintaining data redundancy

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