This topic will cover the fundamentals of software development, including the software development life cycle, the role of software developers, and the importance of tools and techniques in the development process.
Introduction to Software Development
Key concepts, phases, and best practices
1. What Is Software Development?
| Aspect |
Description |
| Definition |
The systematic process of conceiving, designing, building, testing, and maintaining software applications. |
| Goal |
Deliver functional, reliable, and maintainable software that solves a specific problem or fulfills a user need. |
| Stakeholders |
Developers, designers, testers, product owners, end‑users, and business managers. |
2. Core Concepts
| Concept |
Explanation |
Typical Tools / Techniques |
| Requirement Analysis |
Identify what the software must do (functional) and constraints (non‑functional). |
Interviews, user stories, use‑case diagrams, JIRA, Confluence |
| Software Architecture |
High‑level structure that defines components, their responsibilities, and interactions. |
Layered architecture, microservices, MVC, UML component diagrams |
| Programming Paradigms |
Ways of structuring code (e.g., procedural, object‑oriented, functional, reactive). |
Language features, design patterns |
| Version Control |
Track changes, enable collaboration, and manage releases. |
Git, Mercurial, Subversion |
| Testing |
Verify that software works as intended and remains stable over time. |
Unit, integration, system, acceptance testing; frameworks (JUnit, pytest, Selenium) |
| Continuous Integration / Continuous Delivery (CI/CD) |
Automate building, testing, and deployment to reduce manual errors. |
Jenkins, GitHub Actions, GitLab CI, Azure Pipelines |
| Maintenance |
Ongoing updates, bug fixes, performance tuning, and adaptation to new environments. |
Issue trackers, monitoring tools (Prometheus, New Relic) |
3. Development Life Cycle Models
| Model |
When to Use |
Key Characteristics |
| Waterfall |
Small, well‑defined projects with stable requirements. |
Sequential phases, no back‑tracking. |
| Iterative |
Projects needing early feedback and gradual refinement. |
Repeats cycles of planning, development, and evaluation. |
| Agile (Scrum, Kanban) |
Dynamic environments with frequent requirement changes. |
Short sprints, daily stand‑ups, backlog grooming, continuous stakeholder involvement. |
| DevOps |
Organizations emphasizing rapid delivery and operational stability. |
Merges development and operations, heavy automation, culture of shared responsibility. |
4. Typical Workflow (Agile‑oriented)
- Backlog Refinement – Prioritize user stories, estimate effort (story points, t‑shirts).
- Sprint Planning – Select items for the upcoming sprint, define the sprint goal.
- Development – Write code, commit to version control, peer‑review (pull requests).
- Continuous Integration – Automated builds & unit tests run on each commit.
- Testing – QA executes automated and manual tests; bugs are logged.
- Demo / Review – Team shows completed work to stakeholders; gathers feedback.
- Retrospective – Reflect on process, identify improvements for the next sprint.
5. Essential Skills for Developers
| Category |
Specific Skills |
| Technical |
Proficiency in at least one programming language, understanding of data structures & algorithms, familiarity with databases (SQL/NoSQL), API design, debugging. |
| Tooling |
Git, IDEs (VS Code, IntelliJ), containerization (Docker), cloud platforms ( |