This document outlines the phases of the application development lifecycle from requirements gathering to maintenance, and highlights best practices for organizing code in web applications.
Explanation of the Software Engineering Code of Ethics developed by IEEE and ACM outlining professional standards and principles for ethical practice in the field
Comprehensive summary of software architecture concepts including design patterns architectural models deployment strategies and production environment components
A comparative analysis of software deployment strategies including recreate deployments, rolling updates, blue-green deployments, canary releases, A/B testing, shadow deployments, and feature toggles. Each approach is evaluated based on downtime, resource requirements, rollback capabilities, and implementation complexity to help teams select the most appropriate strategy for their specific application needs.
This document provides a comprehensive overview of integrating generative AI into the Software Development Life Cycle, covering requirements gathering analysis, design, implementation, testing, deployment, and maintenance phases.
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