# Smart Test Selection Explained

## How does Appsurify's Model determine Test Selection

Simple answer, based on recent developer changes and the trained model!

When Appsurify connects the Repository and begins to receive Incoming Commit data - Appsurify initially analyzes the Repository for basic structuring. 

Once the Automated Tests are connected, Appsurify leverages Patent-Pending proprietary AI-Risk Based Testing Technology to train each company's **unique AI-Model** based off of incoming commits and the corresponding test results. Over a period of 2-3 weeks, Appsurify trains a robust AI Model that links **Code to Tests** - because it will know which Commits impacted which Tests to form a union between the two. 

Once the AI Model is Trained, when a new Commit comes in, Appsurify will know which Tests are associated with that region of the Codebase - and subsequently; select and execute the relevant tests by order of Priority automatically in the CI/CD based on the Parameters set by the team

The AI Model is recalibrated on a rolling basis to ensure it's always up to date. For more information on on our Test Selection please see our [Test Selection Whitepaper](https://appsurify.com/resources/test-selection-with-appsurifys-testbrain/) on the Appsurify website. 

### **Will Appsurify catch every Failed Test?** 

**Appsurify is designed to catch as many defects as possible by running as few tests as possible.**

Appsurify is designed to be efficient in finding bugs in its Smart Subset while leaving room to find other potential defects that cause other test failures. \
\
1 Bug often causes more than 1 Test Failure, often multiple. To be efficient and fast, Appsurify is designed to catch as many bugs in as few tests as possible. 

{% hint style="info" %}
**Example:**

* 1000 Tests.
* 50 Bugs.
* 200 Tests Fail because of the 50 bugs.
* Appsurify: 10% Smart Subsets 

\
If Appsurify is enabled and running the **Top "10%"** of Tests, it will be forced to Select and Execute what the Model deems to be the most important 100 Tests most likely to Fail. 

\
Therefore, Appsurify will Prioritize and Run the Tests most likely to Catch the underlying Defects. \
\
**In this case**, Appsurify will run Smart Subset of **100 Tests**. In that example subset, it could be the case that 70 of them are Failed Tests and 30 of them are Passing Tests. 

The **IMPORTANT** thing to note is that the 70 Failed tests run cover the majority of those 50 underlying bugs and Raise them as New or Reopened Defects. \
\
As is often the case with a single defect, it will likely cause multiple Failed Tests. \
\
Therefore, Appsurify needs to execute only one or a portion of those Failed Tests in order to raise the Defect while saving room in the Smart Subset to catch other defects. \
\
To further this case, if the 50 Bugs caused 50 Tests to Fail **(1-to-1)**, if Appsurify's Smart Subset of 100 Tests caught 50 Failed Tests and 50 Passed Tests and still caught and Raised all 50 Bugs - that would be very successful.\
\
Appsurify is designed to find the underlying defect by running as few tests as possible. \
\
If the user decided to change the Smart Subset to **"5%"** in this case, Appsurify would still have room in the Smart Subset to find all 50 Bugs by only running 50 Tests. \ <br>
{% endhint %}


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