Generating Test Suites For Testing Code Modules

A method, comprising:

• accessing a code module comprising one or more units of code;
• constructing one or more input prompts for a machine learning system comprising one or more machine learning models, the one or more input prompts instructing the machine learning system to generate, based on a specification for the code module, a test suite comprising a set of tests for testing the code module to verify that one or more units of code successfully execute in accordance with the specification,
• wherein the specification comprises (a) one or more preconditions that precede successful execution of the one or more units of code and (b) one or more postconditions that exist following successful execution of the one or more units of code;
• directing the one or more input prompts to the machine learning system, wherein the machine learning system receives the one or more input prompts and generates the test suite in response to receiving the one or more input prompts;
• receiving, from the machine learning system, a set of one or more outputs comprising the test suite;
• storing and/or transmitting the test suite for use in testing the code module;
• wherein the method is performed by at least one device including a hardware processor.

A system comprising:

• at least one device including a hardware processor;
• the system being configured to perform operations comprising:
• accessing a code module comprising one or more units of code;
• constructing one or more input prompts for a machine learning system comprising one or more machine learning models, the one or more input prompts instructing the machine learning system to generate, based on a specification for the code module, a test suite comprising a set of tests for testing the code module to verify that one or more units of code successfully execute in accordance with the specification,
• wherein the specification comprises (a) one or more preconditions that precede successful execution of the one or more units of code and (b) one or more postconditions that exist following successful execution of the one or more units of code;
• directing the one or more input prompts to the machine learning system, wherein the machine learning system receives the one or more input prompts and generates the test suite in response to receiving the one or more input prompts;
• receiving, from the machine learning system, a set of one or more outputs comprising the test suite;
• storing and/or transmitting the test suite for use in testing the code module.