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Blockchain3 months engagement

Web3 Investment Platform

QA for a decentralized investment platform enabling tokenized asset trading with smart contract-based settlement and multi-chain wallet support. The platform allowed users to invest in tokenized versions of real-world assets like real estate and commodities, with trades settling on-chain through audited smart contracts. QA was non-negotiable because every transaction involved real funds, and blockchain transactions cannot be reversed once confirmed.

WebSmart ContractsSecurity TestingFunctional QA
3
Chains validated
0
Funds-at-risk bugs
100%
Tx accuracy
The Challenge
01

Irreversible Transactions

Smart contract bugs could lock user funds permanently with no recovery. Every function had to be tested for every conceivable edge case.

02

Volatile Gas Prices

Gas could spike 10x during congestion. Cross-chain transfers required coordinating across blockchains with different finality guarantees.

03

18-Decimal Precision

Token swap calculations involved complex decimal math where rounding errors could accumulate into meaningful discrepancies at scale.

04

Regulatory Compliance

Financial services regulations required demonstrating to auditors that smart contracts behaved correctly under every edge case.

Tools Used

PlaywrightPlaywright
PostmanPostman
PythonPython
TypeScriptTypeScript
AWSAWS
PlaywrightPlaywright
PostmanPostman
PythonPython
TypeScriptTypeScript
AWSAWS
Our Approach

How We Tested This Project

01

Smart Contract Test Suite

Built a comprehensive test suite using Hardhat and custom Python scripts that exercised every smart contract function with boundary values, overflow conditions, and adversarial inputs. We tested the entire lifecycle of a tokenized asset from minting through trading to redemption.

02

Cross-Chain Bridge Validation

Set up test environments on each supported chain and systematically tested bridge transactions under normal conditions, high gas, and simulated network failures. We verified that funds were never lost in transit and that the system handled stuck transactions gracefully.

03

Precision and Calculation Audit

Wrote reference implementations of every financial calculation in Python and compared the results against the smart contract and frontend outputs to 18 decimal places. We ran thousands of randomized test cases to catch rounding errors that only appeared with specific input combinations.

04

User Flow and Safety Testing

Tested every user-facing flow with a focus on what happens when things go wrong: rejected transactions, expired approvals, insufficient gas, and wallet disconnections mid-transaction. We verified that the UI always showed accurate state and never left users confused about where their funds were.

Scope

What We Tested

01Smart contract audit and edge case testing including overflow, underflow, and precision loss scenarios
02Cross-chain bridge transaction reliability with simulated network delays and failures
03Wallet connection and disconnection flows with session persistence across page reloads
04Token swap calculation accuracy verified against reference implementations to 18 decimal places
05UI/UX testing for complex DeFi interactions ensuring clarity for non-technical users
06Gas price estimation under network congestion with fallback strategies for stuck transactions
07Slippage tolerance configuration and its effect on transaction success rates
08Portfolio value calculation accuracy with real-time price feed updates
09Transaction history display correctness including pending, confirmed, and failed states
10Emergency withdrawal and contract pause functionality for incident response scenarios
Impact

Results & Business Impact

Zero Funds-at-Risk Bugs

The security audit firm confirmed this was unusual for a DeFi project of this complexity.

$12M Traded Accurately

Over $12M in tokenized assets traded in Q1 with 100% transaction accuracy and no calculation discrepancies.

Compliance Review Passed

Auditors specifically noted the thoroughness of smart contract testing documentation.

40% Larger Investments

Average investment size grew 40% over three months as early users gained confidence in the platform.

Ready to get similar results?

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