How will artificial intelligence change the future of software testing?

What if your code could test itself? Discover how AI-powered autonomous testing finds critical bugs by analyzing every possible execution path automatically.

#1about 3 minutes

The high cost and inherent challenges of software testing

Software bugs cause billions in damages annually because humans are imprecise and overlook mistakes, making thorough testing essential but difficult.

#2about 4 minutes

Comparing the costs and benefits of manual vs automated testing

While automated testing has a high initial investment, it scales far better than the continuous effort required for manual testing in modern development cycles.

#3about 3 minutes

Why traditional testing methods fail to guarantee quality

Both manual and automated testing rely on humans to find all critical test cases, which is impossible and leads to overlooked bugs.

#4about 3 minutes

Envisioning the future of testing with artificial intelligence

The next leap in software quality involves AI automating the entire testing process, including finding all relevant test cases, to make development faster and more accurate.

#5about 3 minutes

Understanding the structure of the automated testing pyramid

The testing pyramid is a best practice that advocates for a majority of tests at the unit level, followed by fewer integration and system tests.

#6about 6 minutes

The challenges of writing comprehensive and effective unit tests

Writing good unit tests is difficult because it requires finding inputs for every code path and considering implementation-specific errors like integer overflows.

#7about 2 minutes

Comparing techniques for automated test case generation

While boundary value analysis and fuzzing can find some bugs, symbolic execution is a more targeted technique for achieving high test coverage.

#8about 6 minutes

How symbolic execution systematically explores all code paths

Symbolic execution analyzes code by treating inputs as symbols and using a constraint solver to find concrete values that trigger every possible execution branch.

#9about 3 minutes

Introducing Sunflower for autonomous unit test generation

The Sunflower product uses symbolic execution to automatically generate, execute, and maintain a full suite of unit tests with high path coverage.

#10about 4 minutes

Live demo of the Sunflower dashboard and a basic example

A walkthrough of the product's UI shows how it analyzes a simple function and automatically generates test cases, including one that finds an integer overflow bug.

#11about 3 minutes