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Code Testing Is Broken

Traditional testing and AI-powered tools miss critical bugs that can lead to security breaches, crashes, and data loss. We solve this with formal methods.

Traditional Testing

Test cases only cover expected scenarios
// Example test code
function test_transfer() {
const result = transfer(100, "accountA", "accountB");
expect(result.success).toBe(true);
expect(balanceOf("accountB")).toBe(100);
}
Missing edge cases:
  • Race conditions not tested
  • Negative amounts not tested
  • Insufficient funds scenario missing
Code coverage: 23%

Formal Methods

Mathematical spec describes all possible states
// Formal specification
invariant balance_conservation() {
sum(balances) == totalSupply;
}
rule  analyze_transfer(uint amount, address from, address to) {
require from ≠ to && balanceOf(from) >= amount;
transfer(amount, from, to);
assert balanceConservation();
}
Arbitrarily good coverage:
  • Concurrent or sequential transactions
  • Edge cases analyzed
  • Bugs eliminated
Code coverage: 100%

Comparison: Real-world Outcomes

Traditional Testing

  • On average 15% of critical bugs reach production
  • $2.5M average cost per security breach
  • Test maintenance consumes 30-50% of total dev time

Formal Methods

  • Can detect up to 100% of critical bugs
  • Ability to prove security coverage against attacks
  • Once proven, FM test cases don't require ongoing maintenance

Rocket-grade code, automatically

Formal methods typically require a team of PhDs and years of experience. We automate the process entirely for you.

app.properties
01/ Define
# Auto-generated properties
# - Ensure user authentication before data access
# - Prevent SQL injection in user inputs
# Custom properties (editable)
Property: "API rate limiting should be enforced per user"
Property: "Session tokens must expire after 24 hours"
Property: "Admin users require MFA for login"

Extract Blueprint

Benchify automatically analyzes your codebase to generate a blueprint of expected behaviors. You can then review, easily add, or modify these specifications using natural language – no technical expertise needed. This collaborative approach ensures the verification aligns perfectly with your intent and requirements.

Evaluate Possibilities

Our engine rigorously analyzes your codebase using state-of-the-art formal verification techniques. We examine thousands of possible execution paths and edge cases, identifying vulnerabilities that traditional testing misses.

analyze.log
02/ Analyze
auth/session.js
api/tokens.js
Vulnerability
Analysis complete
4 conditions verified
1 vulnerability found
fix.patch
03/ Fix & Verify
auth.js:42
-if (token) {
-accessGranted = true;
-}
+if (token && validateToken(token)) {
+accessGranted = true;
+logAccess(user, timestamp);
+}
All formal properties satisfied
Authentication flow verified

Generate Patches

Automatically receive precise fixes for identified issues. Our platform generates patches that resolve the underlying issue while preserving your code's functionality.

Ready to elevate your code quality with formal verification?

Better code at every stage

Our formal methods tools provide comprehensive protection & repair across your entire application stack.

Our formal methods approach to code review doesn't just find bugs - it mathematically eliminates them.

Code Analysis

Your code is analyzed for potential issues

Formal Verification

Mathematical techniques to ensure correctness

Review & Approve

Detailed reports grounded in actual code execution

Pull request #728: Fix input validation
Merged
Verified
validateInput.js
+3-1
1
function validateInput(data) {
2
- if (!data) {
2
+ if (!data || typeof data !== 'object') {
3
    return false;
4
  };
5
  return true;
6
};
Benchify Formal Verification2 hours ago
Input validation now handles all edge cases
No possible runtime exceptions
All code paths verified with mathematical proof
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