Last saved 10 days ago

1.1.2 Software Application Domains

Software Application Domains

  • Seven broad categories of computer software challenges for engineers:

    • System Software:

      • Programs that service other programs

      • Includes components like compilers, editors, file management utilities, operating systems, drivers, and networking software

    • Application Software:

      • Stand-alone programs designed for specific business needs

      • Processes business or technical data for effective management and decision-making

    • Engineering/Scientific Software:

      • Ranges of programs used for data analysis in fields such as astronomy, automotive engineering, genetics, and more

    • Embedded Software:

      • Integrated within products or systems to control user features and system functions

      • Examples include microwave controls and automotive digital functions

    • Product-line Software:

      • Composed of reusable components targeting specific capabilities

      • Can cater to niche or broad consumer markets

    • Web/Mobile Applications:

      • Network-centric software applications

      • Covers browser-based applications, cloud computing, service-based computing, and mobile device software

    • Artificial Intelligence Software:

      • Employs heuristics for solving complex problems

      • Includes areas like robotics, decision-making systems, pattern recognition, and machine learning

  • Software engineers around the globe engage in projects across these domains, either improving existing applications or developing new ones

  • Previous generations have established a legacy in these categories

  • Current generation's goal:

    • To create robust frameworks and tools that enhance efficiency and adaptability in software development for future engineers.


robot
knowt logo

1.1.2 Software Application Domains

Software Application Domains

  • Seven broad categories of computer software challenges for engineers:

    • System Software:

      • Programs that service other programs

      • Includes components like compilers, editors, file management utilities, operating systems, drivers, and networking software

    • Application Software:

      • Stand-alone programs designed for specific business needs

      • Processes business or technical data for effective management and decision-making

    • Engineering/Scientific Software:

      • Ranges of programs used for data analysis in fields such as astronomy, automotive engineering, genetics, and more

    • Embedded Software:

      • Integrated within products or systems to control user features and system functions

      • Examples include microwave controls and automotive digital functions

    • Product-line Software:

      • Composed of reusable components targeting specific capabilities

      • Can cater to niche or broad consumer markets

    • Web/Mobile Applications:

      • Network-centric software applications

      • Covers browser-based applications, cloud computing, service-based computing, and mobile device software

    • Artificial Intelligence Software:

      • Employs heuristics for solving complex problems

      • Includes areas like robotics, decision-making systems, pattern recognition, and machine learning

  • Software engineers around the globe engage in projects across these domains, either improving existing applications or developing new ones

  • Previous generations have established a legacy in these categories

  • Current generation's goal:

    • To create robust frameworks and tools that enhance efficiency and adaptability in software development for future engineers.