Context-based test suite generation as a service

A non-transitory computer-readable medium having stored thereon instructions that, when executed by a processor, cause the processor to:

• detect a code change to source code included in a code repository;
• identify, using a machine learning (ML) algorithm and based on a code-to-feature mapping, a relationship between the code change and an associated product feature, wherein the code-to-feature mapping includes a dependency tree that relates source code, source code folders, product features, and product components;
• determine, based on the associated product feature, one or more dependent product features impacted by the code change;
• select, based on the associated product feature and the one or more dependent product features, a set of test cases including a subset of test cases related to the associated product feature and a subset of test cases related to the one or more dependent product features;
• execute the set of test cases;
• and
• update, using the ML algorithm, the code-to-feature mapping using results of executing the set of test case.

A method comprising:

• detecting a code change to source code included in a code repository;
• identifying, using a machine learning (ML) algorithm and based on a code-to-feature mapping, a relationship between the code change and an associated product feature, wherein the code-to-feature mapping includes a dependency tree that relates source code, source code folders, product features, and product components, and wherein the ML algorithm identifies the relationship between the code change and the associated product feature based on a knowledge base including information from prior testing;
• determining, based on the associated product feature, one or more dependent product features impacted by the code change;
• selecting, based on the associated product feature and the one or more dependent product features, a set of test cases including a subset of test cases related to the associated product feature and a subset of test cases related to the one or more dependent product features;
• executing the set of test cases;
• and
• updating, using the ML algorithm, the code-to-feature mapping using results of executing the set of test cases.