Software Engineering
Software engineering applies systematic methods to software development. This page outlines core principles that distinguish sustainable engineering practice from ad-hoc coding.
The Engineering Process
Software engineering follows a structured lifecycle, though the sequence and emphasis vary by methodology:
- Requirements Analysis: Capture stakeholder needs, define scope, establish success criteria.
- Design: Architect the solution, define interfaces, plan for scalability and security.
- Implementation: Write code following established standards and patterns.
- Testing: Verify functionality, performance, and security against requirements.
- Deployment: Release to production with appropriate monitoring and rollback capabilities.
- Maintenance: Address defects, performance issues, and evolving requirements.
Core Principles
Modularity: Decompose systems into independent, testable components.
Separation of Concerns: Each module should have a single, well-defined responsibility.
Loose Coupling: Minimize dependencies between modules to enable independent evolution.
High Cohesion: Related functionality should be grouped together.
Defensive Programming: Anticipate failure modes and handle errors gracefully.
Best Practices
Version Control: All code in source control. Meaningful commits. Branching strategy aligned with release cadence.
Code Review: Peer review before merge. Focus on correctness, maintainability, and knowledge sharing.
Continuous Integration: Automated build and test on every commit. Fast feedback loops.
Documentation: Document decisions, not just code. Architecture decision records (ADRs) capture context.
Security by Design: Integrate security considerations from requirements through deployment.
Related Reading
Explore Test Automation for quality engineering practices, or browse the Blog for tactical insights.