Software System-Supporting System

A Software System-Supporting System is a software system that is a support system that provides operational capabilities for software applications.

• AKA: Software Support Component.
• Context:
  • It can (typically) enable Software Development through development tools:
    • Development Input: source code, configuration files, build scripts
    • Development Output: compiled applications, deployment packages
    • Development Performance Measure: build time, deployment success rate, code quality metrics
  • ...
  • It can (typically) provide Development Environment Management through IDE integration.
  • It can (typically) maintain System Health Monitoring through monitoring services.
  • It can (typically) support Team Collaboration through collaboration platforms.
  • It can (typically) implement Security Control through security tools.
  • It can (typically) enable Process Automation through automation frameworks.
  • ...
  • It can (often) facilitate Cross-Platform Development through platform abstraction.
  • It can (often) enable System Resilience through fault tolerance.
  • It can (often) support Compliance Management through compliance tools.
  • It can (often) provide Performance Analysis through profiling tools.
  • ...
  • It can range from being a Simple Development Tool to being an Enterprise Development Platform, depending on its functionality scope.
  • It can range from being a Standalone Support Tool to being an Integrated Support Platform, depending on its integration level.
  • It can range from being a General-Purpose Support System to being a Domain-Specific Support System, depending on its application domain.
  • It can range from being a Manual Support System to being an Automated Support System, depending on its automation level.
  • ...
  • It can integrate with Software Development Life Cycle through SDLC tools.
  • It can be managed by a DevOps Team.
  • It can be configured through System Configuration files.
  • It can generate System Telemetry Data.
  • It can maintain System Security State.
  • ...
• Examples:
  • Development Environment Systems, such as:
    • Code Editor Systems, such as:
      • Visual Studio Code (2024) for multi-language development.
      • JetBrains IDE Suite (2024) for specialized language support.
    • Build Systems, such as:
      • Maven for Java project management.
      • Gradle for build automation.
  • Version Control Systems, such as:
    • Distributed Version Controls, such as:
      • Git for distributed source management.
      • Mercurial for collaborative development.
    • Centralized Version Controls, such as:
      • Subversion for centralized code management.
      • Perforce for large-scale version control.
  • Deployment Systems, such as:
    • Container Orchestrations, such as:
      • Kubernetes for container management.
      • Docker Swarm for container orchestration.
    • Cloud Deployment Platforms, such as:
      • AWS Elastic Beanstalk for cloud application deployment.
      • Google App Engine for managed application hosting.
  • Monitoring Systems, such as:
    • Application Performance Monitors, such as:
      • New Relic for application diagnostics.
      • Dynatrace for performance monitoring.
    • Log Management Systems, such as:
      • Splunk for log analysis.
      • ELK Stack for log aggregation.
  • ...
• Counter-Examples:
  • End-User Applications, which lack support capabilitys for other software systems.
  • Hardware Support Systems, which focus on hardware maintenance rather than software support.
  • Static Software Librarys, which provide code reuse but lack active management capabilities.
• See: Development Tool, Support System, Software Platform, DevOps System, Monitoring System.

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