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.
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- 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.
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- 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.
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- 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.
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- 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:
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- 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.