Integration and Deployment-focused Software Engineering Practice
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An Integration and Deployment-focused Software Engineering Practice is a software engineering practice that emphasizes the continuous integration, deployment, and delivery of software to ensure rapid and reliable release cycles.
- Context:
- It can range from being a Continuous Integration Practice to being a Continuous Deployment Practice.
- It can involve automating the build, test, and deployment processes to minimize manual intervention and reduce errors.
- It can integrate with Continuous Integration/Continuous Deployment (CI/CD) systems to facilitate smooth and consistent delivery pipelines.
- It can enhance software quality by ensuring that code changes are frequently merged and tested.
- It can involve the use of feature branching and pull request workflows to manage and review code changes before integration.
- It can promote team collaboration and cross-functional communication to ensure all stakeholders are aligned during the deployment process.
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- Example(s):
- Continuous Integration: A practice that involves regularly merging all developers' working copies into a shared mainline, to prevent integration problems and to improve software quality.
- Continuous Deployment: A practice that ensures every change to the software passes all stages of the production pipeline and is released automatically, reducing the time to deliver product iterations.
- Feature Branching Strategy: Facilitates parallel development by creating separate branches for each new feature, preventing interference with the main codebase.
- Pull Request Workflow: Enhances code quality and team collaboration by reviewing and discussing code changes before merging them into the main codebase.
- Automated Build Systems: Systems that automatically compile and package software whenever new code changes are detected, ensuring that the software is always in a deployable state.
- Continuous Delivery: A practice that extends continuous integration by ensuring that code changes are automatically prepared for a release to production, allowing for rapid deployment at any time.
- Blue-Green Deployment: A practice that involves running two identical production environments, one active (blue) and one idle (green), to switch traffic between them, minimizing downtime and reducing risk during deployments.
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- Counter-Example(s):
- Unit Testing: A practice that involves software testing individual units of source code to ensure they function as intended.
- Test Driven Development: A practice that involves writing test cases first and then developing software to pass those tests, ensuring that the software meets its requirements from the outset.
- Automated Acceptance Testing / Specification by Example: A practice that uses examples and automatable tests for specifying and verifying software requirements, creating a clear and executable specification.
- Chaos Engineering: A practice that involves testing the resilience of software systems by introducing chaos or unexpected conditions, especially in distributed systems, to ensure they can withstand and recover from real-world events.
- Software Reliability Engineering: A practice focused on designing and developing software systems that are reliable, maintainable, and fault-tolerant.
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- See: Continuous Integration/Continuous Deployment (CI/CD), Feature Branching Strategy, Pull Request Workflow, Software Engineering Practice