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Software team tracing requirements through development testing release and maintenance stages
SQA, Test Automation & SDET · Course #002

Software Development Life Cycle (SDLC)

Reliable quality work depends on more than knowing a tool name. In Software Development Life Cycle (SDLC), participants learn to explain how software moves from a business need to design, implementation, verification, release, operation and eventual change, using from idea to operation and discovery and requirements as practical anchors. Participants compare sequential, iterative and DevOps-oriented lifecycles, identify the work products created at each stage and trace how an overlooked decision can affect downstream quality. The programme also examines architecture and design so that decisions remain maintainable, observable and useful to the wider delivery team. They leave able to follow delivery conversations, recognise dependencies and ask better questions about readiness, ownership and change impact.

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Overview

Reliable quality work depends on more than knowing a tool name. In Software Development Life Cycle (SDLC), participants learn to explain how software moves from a business need to design, implementation, verification, release, operation and eventual change, using from idea to operation and discovery and requirements as practical anchors. Participants compare sequential, iterative and DevOps-oriented lifecycles, identify the work products created at each stage and trace how an overlooked decision can affect downstream quality. The programme also examines architecture and design so that decisions remain maintainable, observable and useful to the wider delivery team. They leave able to follow delivery conversations, recognise dependencies and ask better questions about readiness, ownership and change impact.

Course Highlights

End-to-end lifecycle visibility

Waterfall, iterative, Agile and DevOps contexts

Roles, artefacts and hand-offs

Quality gates and feedback loops

Modules & Curriculum

From idea to operation: the SDLC as a system

Discovery and requirements: defining value and constraints

Architecture and design: turning needs into solution decisions

Implementation and version control: building in small, reviewable changes

Verification and validation: proving fitness for purpose

Release and deployment: readiness, rollback and communication

Operations and maintenance: incidents, feedback and evolution

Lifecycle models compared: Waterfall, iterative, Agile and DevOps

Case exercise: diagnosing gaps in a sample delivery lifecycle

Learning Outcomes

  • Describe the purpose and outputs of each SDLC stage.
  • Compare predictive, iterative and continuous delivery models.
  • Trace a requirement from discovery through release and operation.
  • Identify lifecycle risks created by weak hand-offs or late feedback.
  • Recommend suitable quality activities at key delivery points.

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See how every delivery stage shapes software quality, risk and team decisions.

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