What Is a Systems Development Lifecycle (SDLC)? - Systems Development Lifecycle (SDLC) Best Practices
What Is a Systems Development Lifecycle (SDLC)?
(Chapter 6 of Systems Development Lifecycle (SDLC) Best Practices)
Executive Summary: Chapter Overview
IF4ITThe Bottom Line
Core Concepts
| Concept | Definition & Strategic Role |
|---|---|
| Systems Development Lifecycle | A governed, customizable sequence of phases covering the full useful life of a technology-enabled capability. |
| Systems Scope | The inclusion of software, infrastructure, data, people, processes, suppliers, and operating dependencies. |
| Full Lifecycle | The period from initial need through operation, maintenance, retirement, decommissioning, and disposal. |
Quick Q&A
Question: Why does IF4IT use “Systems” rather than only “Software”?
Question: Does development mean only coding?
Question: Can an acquired SaaS product be governed by the SDLC?
Read More Below
This chapter defines a Systems Development Lifecycle as a governed, customizable sequence of lifecycle phases that applies to broad technology-enabled capabilities, not only software code, and continues from conception through operation and final disposal.
Canonical Definition
A Systems Development Lifecycle (SDLC) is a governed, customizable sequence of lifecycle phases used to conceive, evaluate, plan, define, design, build or acquire, integrate, verify, validate, deploy, operate, maintain, improve, retire, decommission, and dispose of an Asset, Product, Service, System, Application, Solution, or other governed technology capability.
Why “Systems”
The term Systems Development Lifecycle is intentionally broader than Software Development Lifecycle. A System or Solution may include software, Applications, APIs, integrations, data pipelines, databases, infrastructure, compute, storage, networks, cloud services, identity services, hardware, firmware, operational technology, artificial intelligence, automation, suppliers, processes, people, and operating procedures.
What “Development” and “Lifecycle” Mean
Development means the governed evolution of a technology-enabled capability, not only programming. It may include research, requirements, architecture, acquisition, configuration, integration, migration, training, deployment, operating-procedure development, maintenance, and retirement preparation.
Lifecycle means that governance begins before implementation and continues after Production through operation, support, improvement, obsolescence management, retirement, decommissioning, and disposal.
What an SDLC Is Not
| The SDLC Is Not | Clarification |
|---|---|
| A project plan | A plan schedules bounded work; the SDLC defines broader lifecycle responsibilities. |
| A delivery methodology | Agile, Waterfall, and Hybrid organize work but do not replace lifecycle obligations. |
| A Release process | Releases use tailored SDLC Paths; the enduring Asset lifecycle is broader. |
| A testing process | Testing is one part of verification and validation. |
| A documentation checklist | Artifacts support outcomes and decisions; documents alone do not prove conformance. |
| A software-only process | The framework governs broader Systems, services, infrastructure, data, suppliers, and operations. |
| A process that ends at Production | Operations, maintenance, supportability, and retirement remain lifecycle responsibilities. |
Common Antipatterns
Enterprises should avoid treating “Systems Development Lifecycle” as synonymous with “Software Development Lifecycle.” A System or Solution may include infrastructure, data, suppliers, processes, and people well beyond software code; treating SDLC as only a software-development concept can leave hardware, operational, and organizational obligations ungoverned simply because they don’t fit a narrower software-only mental model.
| Antipattern | Why it fails |
|---|---|
| Treating “Systems Development Lifecycle” as synonymous with “Software Development Lifecycle” | A System or Solution may include infrastructure, data, suppliers, and people well beyond software code; a software-only mental model can leave hardware and organizational obligations ungoverned. |
Connections to Related IF4IT Practices and Inventories
Keep this chapter’s decisions and responsibilities connected to enterprise structure, capability ownership, and measurable business outcomes through the IF4IT Enterprise Model, Enterprise Capability Models, and the Capabilities Inventory and Attributes.
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