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.
1.1.2 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.