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Software Development Life Cycle, Check All the Stages

Rajat Garg

Date: 27th June, 2024

What is the Software Development Life Cycle?

Software Development Life Cycle is a process used by the software industry to design, develop, and test good-quality software. SDLC includes all the phases of software development from planning to retirement of the software. The life cycle helps to properly phase the planning, implementation, maintenance, and development of the software.

What is the Need for Software Development Life Cycle?

SDLC is essential to create a disciplined and systematic phase while developing any software. The systematic phases help in increasing the quality and precision of the product software. Software Development Life Cycle divides the process of development into small phases which makes it easier for everyone to keep track of their task.

SDLC is also beneficial to avoid any chaos and misunderstanding between the team members. 

7 Stages of Software Development Life Cycle

Software Development Life Cycle is divided into 7 different phases to make the software development process more efficient. The 7 phases of SDLC include:

  1. Planning Phase
  2. Analysis Phase
  3. Design Phase
  4. Development Phase
  5. Testing Phase
  6. Implementation Phase
  7. Maintenance Phase
Software Development Life Cycle
7 Stages of SDLC

Planning:

Define project goals, scope, and objectives.

Assess feasibility and allocate resources.

Analysis:

Gather detailed requirements from stakeholders.

Document functional and non-functional requirements.

Design:

Create system architecture and design specifications.

Develop data models, interface designs, and system components.

Implementation (Coding):

Write the actual code based on design specifications.

Develop features, modules, and integrate components.

Testing:

Test the software for bugs, performance issues, and compliance with requirements.

Conduct unit testing, integration testing, system testing, and user acceptance testing.

Deployment:

Deploy the software to the production environment.

Train users and migrate data as needed.

Maintenance:

Provide ongoing support and maintenance.

Implement updates, patches, and enhancements based on user feedb

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