Abstract: Techniques and architectures for creating scratch organizations in a multitenant environment. A scratch organization defined by metadata corresponding to a subject organization is generated. The metadata defines at least a set of privileges for the subject organization to be replicated in the scratch organization. Test data is loaded from a test source that is not the subject organization. Changes to the subject organization are not applied to the scratch organization after creation of the scratch organization and changes to the scratch organization are not applied to the subject organization. One or more test operations are performed on the scratch organization using the loaded test data. The scratch organization is destroyed after the one or more test operations have been performed.

Abstract: Techniques and architectures for scratch organizations in a multitenant environment. A first scratch organization is generated based on a designated set of metadata defining at least a set of privileges for the first scratch organization. Test data is loaded into the first scratch organization from a source external to the first scratch organization. A designated test sequence is performed on the first scratch organization using test data. The test operations are defined by structures external to the first scratch organization and utilize the test data to generate test results. The first scratch organization is destroyed after extracting the test results. A second scratch organization is generated based on the designated set of metadata cause the second scratch organization to have the set of privileges.

Abstract: Techniques and architectures for scratch organizations in a multitenant environment. A first scratch organization is generated based on a designated set of metadata defining at least a set of privileges for the first scratch organization. Test data is loaded into the first scratch organization from a source external to the first scratch organization. A designated test sequence is performed on the first scratch organization using test data. The test operations are defined by structures external to the first scratch organization and utilize the test data to generate test results. The first scratch organization is destroyed after extracting the test results. A second scratch organization is generated based on the designated set of metadata cause the second scratch organization to have the set of privileges.

Abstract: Techniques and architectures for scratch organizations in a multitenant environment. A first scratch organization is generated based on a designated set of metadata defining at least a set of privileges for the first scratch organization. Test data is loaded into the first scratch organization from a source external to the first scratch organization. A designated test sequence is performed on the first scratch organization using test data. The test operations are defined by structures external to the first scratch organization and utilize the test data to generate test results. The first scratch organization is destroyed after extracting the test results. A second scratch organization is generated based on the designated set of metadata cause the second scratch organization to have the set of privileges.

Abstract: Computer implemented methods and systems are provided for executing tests in a system that includes a user system and a cloud-based computing platform. The user system includes a processing system, memory and an input system that receives input parameters specified by a user of the user system. The memory can store a test class filter module executable by the processing system. Upon being executed by the processing system, the test class filter module can, based on one or more of the input parameters, group and filter test class identifiers to generate a unique test class identifier array of filtered test class identifiers that correspond to a particular subset of tests that are to be executed during testing of an application. A test execution engine can then execute the particular subset of tests corresponding to the filtered test class identifiers specified in the unique test class identifier array.

Abstract: Computer implemented methods and systems are provided for computing code coverage in a system that includes a user system and a cloud-based computing platform. The user system includes a processing system, memory and an input system that receives input parameters specified by a user of the user system. The memory can store a source class filter module executable by the processing system. Upon being executed by the processing system, the source class filter module can, based on one or more of the input parameters, group and filter source class identifiers to generate a unique source class identifier array of filtered source class identifiers that correspond to a particular subset of source classes that targeted code coverage metrics are to be computed for during code coverage computations when testing an application.

Abstract: Computer implemented methods and systems are provided for executing tests in a system that includes a user system and a cloud-based computing platform communicatively coupled to the user system. The user system includes a processing system, memory and an input system that receives input parameters specified by a user of the user system. The memory can store a test class filter module executable by the processing system. Upon being executed by the processing system, the test class filter module can, based on one or more of the input parameters, group and filter test class identifiers to generate a unique test class identifier array of filtered test class identifiers that correspond to a particular subset of tests that are to be executed during testing of an application. A test execution engine of the cloud-based computing platform can then execute the particular subset of tests corresponding to the filtered test class identifiers specified in the unique test class identifier array.

Abstract: Computer implemented methods and systems are provided for computing code coverage in a system that includes a user system and a cloud-based computing platform. The user system includes a processing system, memory and an input system that receives input parameters specified by a user of the user system. The memory can store a source class filter module executable by the processing system. Upon being executed by the processing system, the source class filter module can, based on one or more of the input parameters, group and filter source class identifiers to generate a unique source class identifier array of filtered source class identifiers that correspond to a particular subset of source classes that targeted code coverage metrics are to be computed for during code coverage computations when testing an application.