Test Report

Scope

The scope of testing is to verify fitment to the specification from the perspective of:

• Functionality

• Deployability

• Configurability

• Customizability

Verification is performed not only from the end-user perspective but also from the System Integrator (SI) point of view. Hence, the configurability and extensibility of the software is also assessed. This ensures readiness of software for use in multiple countries. Since MOSIP is an “API First” product platform, verification scope required comprehensive automation testing for all the MOSIP APIs. An automation Test Rig is created for the same.

The Inji testing scope revolves around the following flows:

• Biometric Unlock

• Passcode Unlock

• VC download with VID

• Renaming VC / Edit tag for VID

• Normal VC sharing with VID

• Online and Offine mode sharing

• Face Auth on Resident's phone with VID

• Multi language support

• Wallet binding

• QR code Login

Test approach

Persona based approach has been adopted to perform the IV&V(Independent Verification and Validation) by simulating the test scenarios that resemble a real-time implementation.

A Persona is a fictional character/ user profile created to represent a user type that might use a product/ or a service in a similar way. Persona based testing is a software testing technique that puts software testers in the customer's shoes, assesses their needs from the software and thereby determines use cases/ scenarios that the customers will execute. The persona needs may be addressed through any of the following:

• Functionality

• Deployability

• Configurability

• Customizability

The verification methods may differ based on how the need was addressed.

For regression check, MOSIP Test Rig, an automation testing suite is indigenously designed and developed for supporting persona based testing. MOSIP Test Rig covers the end-to-end test execution and reporting. The end-to-end functional test scenarios are written starting from pre-registration, to creation of packet in registration center, processing the packet through the registration processor, generating UIN and authenticating identity using IDA through various permutation and combinations of cases being covered. MOSIP Test Rig will be an open source artifact which can also be enhanced and used by countries to validate the SI deliveries before going live. Persona classes include both negative and positive personas. Negative persona classes include users like Bribed Registration Office, Malicious Insider etc. The needs of positive persona classes must be met, whereas the needs of negative persona classes must be effectively restricted by the software.

Feature health

Test execution statistics

Functional test results

Below are the test metrics for Inji by performing functional testing using mockMDS and mockABIS. The process followed was black box testing which based its test cases on the specifications of the software component under test. Functional test was performed in combination of individual module testing as well as integration testing. Test data were prepared inline with the user stories. Expected results were monitored by examining the user interface. The coverage includes GUI testing, System testing, End-To-End flows across multiple languages and configurations. The testing cycle included simulation of multiple identity schema and respective UI schema configurations.

Total	Passed	Failed	Skipped
359	319	40	0

Test Rate: 100% with Pass Rate : 88%

Here is the detailed breakdown of metrics:

On Android Device

• Total Test cases: 185

  • Passed: 177

  • Failed: 8

  • Skipped: 0

On iOS Device

• Total Test cases: 174

  • Passed: 142

  • Failed: 32

  • Skipped: 0

External API verification results for Inji

Below section provides details on API test metrics by executing MOSIP functional automation Framework. The external API test executions were performed at module level isolation. Each end point is tested with the test data and expectations of each test data are mapped to assert the test case.

Total	Passed	Failed	Skipped
37	36	1	0

Test Rate: 100% with Pass Rate : 97%

Testing End-to-end flow(s)

End-to-end flows are a set of stateful test cases that expects the results across multiple modules. The test does not cover the intermediary stages, rather concentrates on the end result for a given data. The test covers both negative scenarios and positive scenarios with real world scenarios. Below are the end-to-end scenarios test metrics by executing MOSIP Automation Framework.

Total	Passed	Failed	Skipped
84	63	21	0

Test Rate: 100% with Pass Rate: 75%

Testing with various device combinations

Below are the test metrics by performing VC Sharing functionality on various device combinations.

Total	Passed	Failed	Skipped
192	160	32	0

Test Rate: 100% with Pass Rate : 83%

Detailed test metrics

Below are the detailed test metrics by performing manual/ automation testing. The project metrics are derived from Defect density, Test coverage, Test execution coverage, test tracking and efficiency.

The various metrics that assist in test tracking and efficiency are as follows:

• Passed Test Cases Coverage: It measures the percentage of passed test cases. (Number of passed tests / Total number of tests executed) x 100

• Failed Test Case Coverage: It measures the percentage of all the failed test cases. (Number of failed tests / Total number of test cases executed) x 100

Link for the detailed test report.