Software Development: Data and Problem-Solving

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5 Questions

What are some characteristics of data types in software development?

Data types have specific characteristics in software development such as integer, string, float, boolean, etc.

Which of the following are data structures used in software development? (Select all that apply)

One-dimensional arrays

Formatting and structural characteristics are important considerations for files in software development.

True

______ and sorting are important algorithms in software development.

Sorting

Match the following programming languages with their primary usage:

Python = General-purpose programming JavaScript = Client-side scripting for web applications SQL = Database queries CSS = Styling web pages

Study Notes

Software Development: Programming

  • Characteristics of data types
  • Types of data structures:
    • Associative arrays (dictionaries or hash tables)
    • One-dimensional arrays (single data type, integer index)
    • Records (varying data types, field index)
  • Approaches to problem-solving:
    • Methods for documenting a problem, need, or opportunity
    • Methods for determining solution requirements, constraints, and scope
    • Methods of representing designs:
      • Data dictionaries
      • Mock-ups
      • Object descriptions
      • Pseudocode
  • File formats:
    • Delimited (CSV)
    • Plain text (TXT)
    • XML
  • Programming language features:
    • Classes
    • Control structures
    • Functions
    • Instructions
    • Methods
  • Algorithms:
    • Sorting (selection sort, quick sort)
    • Binary and linear searching
  • Validation techniques:
    • Existence checking
    • Range checking
    • Type checking
  • Internal documentation:
    • Meaningful comments
    • Syntax

Software Development: Analysis and Design

  • Digital systems:
    • Security considerations (authentication, data protection)
  • Data and information:
    • Techniques for collecting data (interviews, observation, reports, surveys)
  • Approaches to problem-solving:
    • Functional and non-functional requirements
    • Constraints (economic, legal, social, technical, usability)
    • Factors determining solution scope
    • Software requirement specifications
    • Tools and techniques for depicting interfaces:
      • Use case diagrams (UML)
      • Context diagrams
      • Data flow diagrams
  • Design ideas:
    • Techniques for generating ideas
    • Criteria for evaluating alternative designs
  • Development models:
    • Agile
    • Spiral
    • Waterfall
  • Project management:
    • Gantt charts
    • Task identification and sequencing
    • Time allocation
    • Dependencies
    • Milestones
    • Critical path

Software Development: Development and Evaluation

  • Digital systems:
    • Procedures for handling and managing files and data
    • Security considerations
  • Data and information:
    • Storage media and transmission technologies
    • Organisation of files affecting data access
    • Uses of data structures
  • Approaches to problem-solving:
    • Processing features of a programming language
    • Characteristics of efficient and effective solutions
    • Techniques for checking solution designs
    • Validation techniques
    • Testing usability and documenting test results
  • Project management:
    • Recording project progress
    • Adjusting tasks and timeframes
    • Evaluating development models
  • Software solution evaluation:
    • Criteria for evaluating efficiency and effectiveness
    • Assessing project plans

Cybersecurity: Software Security

  • Digital systems:
    • Physical and software security controls
    • Software auditing and testing strategies
    • Types of software security vulnerabilities
    • Types of web application risks
  • Data and information:
    • Characteristics of data with integrity
  • Interactions and impact:
    • Reasons for software development
    • Key legislation affecting data control and communication
    • Ethical issues in software development
    • Evaluating software development security strategies
    • Risk management strategies for minimizing security vulnerabilities

Test your knowledge of software development fundamentals, including data types, data structures, and approaches to problem-solving. Review key concepts and techniques for documenting problems, needs, and opportunities.

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