Software Engineering Best-Practice

A Software Engineering Best-Practice is a software engineering practice that is an engineering best-practice (designed to ensure software development quality and project success).

• AKA: Software Development Best Practice, Engineering Practice Standard, Software Quality Practice.
• Context:
  • It can implement Software Development Process through iterative methodologys and agile practices.
  • It can maintain Code Quality Standard through coding conventions and style guides.
  • It can enforce Architecture Pattern via component design and system structures.
  • It can support Quality Assurance Process through testing strategy and verification methods.
  • It can provide Change Management Control via version control and release processs.
  • ...
  • It can often establish Documentation Standard through code comments and technical documentation.
  • It can often implement Review Process via peer reviews and code inspections.
  • It can often manage Project Timeline through sprint planning and milestone tracking.
  • It can often support Team Collaboration via communication protocols and knowledge sharing.
  • It can often maintain Technical Debt Control through refactoring practices.
  • ...
  • It can range from being a Basic Engineering Practice to being an Enterprise Engineering Practice, depending on its organization scale.
  • It can range from being a Development Practice to being a Production Practice, depending on its deployment stage.
  • It can range from being a Team Practice to being an Organization Practice, depending on its adoption scope.
  • ...
  • It can have Quality Metric for practice effectiveness.
  • It can perform Practice Assessment through audit processs.
  • It can implement Continuous Improvement via feedback loops.
  • It can maintain Knowledge Repository through documentation systems.
  • It can support Skill Development via training programs.
  • ...
• Examples:
  • Iterative Software Development, through agile methodology.
  • Software Requirements Management, through requirement tracking.
  • Software Component Architecture, through modular design.
  • Visual Software Modeling, through design diagrams.
  • Software Quality Verification, through testing protocols.
  • Software Change Control, through version management.
  • High Unit Test Coverage, through test automation.
  • Code Reviews, through peer inspection.
  • Machine Learning Engineering Best-Practice, through ML workflow.
  • Google Apps Script Best-Practice, through script development.
  • Development Practices, such as:
    • Code Organizations, such as:
      • Single Responsibility Pattern for class structure.
      • Function Design Pattern for method implementation.
    • Naming Conventions, such as:
      • Descriptive Naming Pattern for code readability.
      • Semantic Naming Standard for code clarity.
  • ...
• Counter-Examples:
  • A Software Engineering Past-Practice, which uses outdated methods.
  • Ad Hoc Development, which lacks structured approach.
  • Quick Fix Solution, which compromises code quality.
  • Minimal Testing Approach, which risks system reliability.
• See: Software Engineer, Center of Excellence, Development Standard, Quality Framework, Engineering Methodology.

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