SDLC
Software Development Life Cycle — the structured process of planning, creating, testing, and deploying software through defined phases.
The Software Development Life Cycle (SDLC) is a structured framework that defines the phases involved in building software, from initial planning through deployment and maintenance. In smart contract development, the SDLC takes on heightened importance because deployed contracts are immutable—errors that survive the lifecycle become permanent vulnerabilities controlling real financial assets.
SDLC phases for smart contracts
1. Requirements and design
Define what the protocol should do and how it should behave:
- Protocol specifications and economic models
- Threat modeling to identify attack vectors early
- Invariant definition—fundamental properties the system must maintain
- Trust assumption documentation and access control design
2. Implementation
Write the Solidity (or Rust, Vyper, etc.) code:
- Follow established patterns like Checks-Effects-Interactions
- Use audited libraries (OpenZeppelin, Solmate) for standard functionality
- Integrate static analysis tools into the development workflow
- Write tests alongside implementation, not after
3. Testing
Verify the code behaves correctly under all conditions:
- Unit tests for individual function behavior
- Integration tests for cross-contract interactions
- Invariant testing with fuzzing for property verification
- Formal verification for critical mathematical properties
4. Audit
External security review before deployment:
- Define clear audit scope based on threat model
- Engage independent auditors to review the codebase
- Remediate findings and verify fixes
- Consider multiple audits from different firms for high-value protocols
5. Deployment
Move code to production:
- Deploy to testnet first for integration verification
- Configure operational security (multisigs, timelocks)
- Set up monitoring and alerting systems
- Verify deployed bytecode matches audited source
6. Monitoring and maintenance
Ongoing post-deployment security:
- Real-time transaction monitoring for anomalous behavior
- Bug bounty programs for community-driven vulnerability discovery
- Incident response procedures and circuit breakers
- Security reassessment when upgrading or adding new functionality
Why SDLC matters for Web3
In traditional software, bugs found post-deployment are fixed with patches. In smart contracts:
- Immutability means deployed bugs are permanent (unless using upgradeable patterns)
- Financial exposure means bugs directly translate to fund loss
- Adversarial environment means every vulnerability will be found and exploited
- Composability means your contract's security depends on external protocols
These constraints make a disciplined SDLC non-negotiable. Skipping phases—especially design-phase threat modeling—is the primary reason protocols suffer preventable exploits.
Shift-left security in the SDLC
The shift-left philosophy advocates moving security activities earlier in the lifecycle. Rather than treating audits as the sole security gate before deployment, shift-left integrates security into every phase:
- Design: Threat modeling and invariant definition
- Implementation: Static analysis in CI/CD pipelines
- Testing: Property-based fuzzing and formal verification
- Audit: Focused expert review on complex logic (not basic issues)
This approach produces more secure protocols at lower total cost, because fixing design flaws during the design phase is orders of magnitude cheaper than fixing them post-audit.
Articles Using This Term
Learn more about SDLC in these articles:
Related Terms
Shift Left
Security practice of integrating testing, verification, and security analysis earlier in the software development lifecycle rather than deferring to post-implementation.
Threat Modeling
Structured process of identifying, evaluating, and prioritizing potential security threats to a system during the design phase before code is written.
Defense in Depth
Layered security strategy combining multiple independent protections rather than relying on single security measures.
Test Coverage
A metric measuring what percentage of code is executed during testing, indicating how thoroughly a codebase has been tested.
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