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This guide uses SDLC to mean software development life cycle. NIST also uses SDLC for “system development life cycle” in some publications.
What the software development life cycle actually means
Three ideas are often confused:
- Lifecycle processes describe the work and outcomes needed over a product’s life, including acquisition, requirements, development, operation, maintenance, support, and disposal.
- Lifecycle models arrange that work in a pattern. Waterfall is sequential; iterative models revisit work repeatedly; continuous delivery integrates development and operations.
- Methods and tools are the specific practices, templates, technologies, and team techniques used to perform the work.
ISO/IEC/IEEE 12207:2026 is a framework for software life-cycle processes. It permits processes to be applied concurrently, iteratively, recursively, and incrementally, and does not mandate a particular model, methodology, toolchain, or diagram. Following a generic phase list therefore does not by itself demonstrate conformance to a standard.
A practical seven-phase SDLC example
NIST’s 2008 practical software-development guidance presents the following seven-phase waterfall example. It is useful for teaching and planning, but it is not a current universal industry sequence.
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Software concept
Define the system’s purpose, stakeholders, scope, assumptions, and initial needs. Establish why the product should exist and what outcome would justify investment.
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Analysis
Examine stakeholder and technical requirements, users, operating context, constraints, interfaces, data, and risks. Clarify ambiguous or conflicting needs before committing to a solution.
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Design
Translate analyzed requirements into an implementable solution: architecture, components, data structures, interfaces, security controls, deployment topology, and usability decisions.
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Coding and debugging
Implement the design, review changes, run automated checks, and find and correct defects. Source control, build automation, dependency management, and developer documentation belong here.
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System integration and testing
Combine components and verify the integrated system against functional, performance, compatibility, usability, and security expectations. Record evidence, failures, and unresolved risks.
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Implementation
Release or deploy the software to its intended environment. Prepare configuration, data migration, access control, monitoring, rollback, user communication, and operational support.
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Maintenance and support
Operate the product, correct defects, patch vulnerabilities, improve performance, handle incidents, update dependencies, and eventually retire or replace the system.
In an iterative project, these activities occur in smaller cycles. A sprint may include a slice of analysis, design, coding, testing, and deployment, while operations and maintenance continue throughout. A phase name is a description of needed work, not proof that work happened in a single handoff.
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Requirements are not merely a document produced before coding. They guide analysis and design, provide acceptance criteria for testing, inform release decisions, and change as users, regulations, threats, and technology change.
ISO/IEC/IEEE 29148:2018 addresses requirements-engineering processes and related information items for systems and software products, including services, across the life cycle. ISO records the edition as reviewed and confirmed in 2024 while also indicating that it is to be revised, so verify its status when establishing a compliance baseline.
Planning covers scope, schedule, resources, dependencies, quality activities, risk responses, release strategy, and retirement. ISO/IEC/IEEE 24748-5:2017 provides guidance for planning and controlling technical processes from conception through retirement and was confirmed after review in 2022.
Useful project artifacts include a problem statement, stakeholder map, requirements specification, traceability matrix, architecture decision records, risk register, delivery plan, test strategy, deployment plan, operations runbook, and change log. NIST’s older practical guide also includes requirements, project-plan, schedule, and priority-list templates; treat those as examples rather than current standards.
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Choosing an SDLC model
Choose a model by examining the project, not by declaring one approach universally superior.
| Decision axis | Questions to ask | Typical implication |
|---|---|---|
| Requirement stability | Can needs be understood and approved early? | Stable, contract-driven needs can support sequential planning; uncertain needs favor short feedback cycles. |
| Risk handling | Are technical, safety, security, or integration risks significant? | Risk-driven or iterative approaches expose assumptions early and revisit them. |
| Feedback cadence | How soon can users review a working increment? | Frequent user access favors prototypes, increments, or continuous delivery. |
| Planning and evidence | What traceability, approvals, documentation, or handoff evidence is required? | Regulated or contract-heavy work may need formal baselines alongside iterative delivery. |
| Release and operations | Is delivery one coordinated launch, scheduled increments, or continuous? | DevOps-oriented models integrate build, release, monitoring, and operational learning. |
Waterfall
Waterfall organizes work sequentially and is document-driven, with requirements generally defined up front. NIST describes it as suitable for complex projects where requirements are well understood. That bounded description does not make it the best choice for every complex system: late discovery of misunderstood requirements can make change expensive.
Iterative and incremental development
Teams deliver slices of capability, gather evidence, and revise requirements or design. This reduces the time between an assumption and feedback, but requires disciplined prioritization, regression testing, architecture stewardship, and release management.
Spiral and prototyping
Spiral approaches organize repeated cycles around major risks. Prototyping uses an exploratory model to refine understanding toward a final product. Both are useful when feasibility, usability, or integration questions are more important than producing a complete upfront specification.
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Agile emphasizes adaptive planning, working increments, and stakeholder feedback. DevOps connects development with operations through automation, observability, and shared responsibility for releases and service health. Neither removes the need for requirements, design, testing, security, or documentation; it changes when and how those activities occur.
Security throughout the life cycle
NIST SP 800-218, Secure Software Development Framework (SSDF) Version 1.1, says secure development practices should be integrated throughout whichever SDLC model a team uses. NIST gives three reasons: reduce vulnerabilities in released software, reduce the potential impact of vulnerabilities that escape detection, and address root causes to prevent recurrence.
Security work therefore spans every phase:
- Concept and analysis: identify assets, threats, privacy obligations, abuse cases, and security requirements.
- Design: choose trust boundaries, authentication, authorization, cryptography, data handling, isolation, and failure behavior.
- Implementation: review code, scan dependencies, protect secrets, validate input, and use reproducible builds.
- Testing: perform security tests, configuration checks, negative testing, and remediation verification.
- Deployment: harden environments, control access, monitor events, and prepare rollback and incident procedures.
- Maintenance: triage vulnerabilities, patch dependencies, investigate incidents, and feed root-cause lessons into engineering practice.
Addressing security earlier generally requires less effort and cost to reach the same security level, but “shift left” does not mean security ends before release. It remains an operational and maintenance responsibility.
Applying SDLC thinking to an automation integration
Suppose a team is adding automated website screenshots to a documentation pipeline. Concept work defines the output and users; analysis identifies URL privacy, authentication, image formats, latency, retention, and failure handling; design chooses an API or browser architecture; implementation adds the client; testing verifies representative pages and errors; deployment adds secrets and monitoring; maintenance handles site changes and dependency updates.
For a do-it-yourself browser implementation, make waits explicit, isolate credentials, capture logs, and test pages with consent dialogs, lazy-loaded images, authentication, bot checks, and failures. Treat screenshots as build artifacts with retention and access rules rather than as an untracked side effect.
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Best Value
Common SDLC failure modes and fixes
“We completed the requirements, so they cannot change.”
Requirements are an evolving baseline. Establish change control, impact analysis, versioning, and acceptance criteria instead of pretending uncertainty does not exist.
“Testing is a final phase.”
Define tests during requirements and design, automate checks in builds, and test integrations continuously. A final system test cannot recover all feedback lost earlier.
“Security will be added before launch.”
Threat-model important flows during analysis and design, then continue scanning, review, testing, monitoring, and patching after release.
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“Agile means no documentation.”
Keep documentation proportional to risk: decisions, interfaces, operational procedures, security assumptions, and evidence needed by future maintainers still matter.
“Our phase diagram proves compliance.”
Standards define required processes and context, not a decorative diagram. Map actual responsibilities, outputs, controls, and evidence to the applicable standard.
How to make an SDLC actionable
- Define the outcome, users, constraints, and success measures.
- Identify uncertainty and rank technical, delivery, security, and operational risks.
- Select a model and tailor its governance, documentation, cadence, and approval points.
- Make requirements testable and maintain traceability for high-consequence decisions.
- Build security, quality, and observability into normal work rather than a final gate.
- Release in a pattern the operations team can support, with rollback and incident plans.
- Use production evidence and maintenance findings to update requirements, architecture, and priorities.
Frequently Asked Questions
Is SDLC the same as the waterfall model?
No. Waterfall is one sequential lifecycle model; SDLC is the broader idea of organizing software work across its life.
Does ISO/IEC/IEEE 12207:2026 require agile or waterfall?
No. It provides lifecycle processes and explicitly does not require a specific model, methodology, or toolchain.
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When does software maintenance begin?
Operational support, defect correction, security patching, and improvement begin once software is in use and continue until retirement.
Should security be a separate SDLC phase?
Security should be integrated throughout the selected model, with activities appropriate to requirements, design, implementation, testing, deployment, and maintenance.
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