T/GDFCA 038-2022 The functional testing standards for food traceability systems based on blockchain technology

Scope

Scope: This standard specifies the terms and definitions, test scope, pass criteria, test methods, and test content for the functional testing of food traceability systems based on blockchain technology. This standard applies to the functional testing of food traceability systems based on blockchain technology. Main technical content: Based on the characteristics of the system under test, the following black-box testing techniques are adopted: functional decomposition, equivalence partitioning, boundary value analysis, cause-effect diagram/decision table, random testing, error speculation, penetration testing, and static testing. It requires that all test requirements be refined to the most basic functional points. By designing test cases that cover all system functions, the quality of all system functionalities is tested from the aspects of suitability, completeness, correctness, and functional compliance. The results of the functional testing are compared with the system functional requirements to evaluate the conformity of the system's functions. The selection of test case design methods includes: 1) Boundary value analysis must be used in all cases. Experience shows that the ability to detect program errors using this method is the strongest; 2) Some test cases are supplemented by equivalence partitioning; 3) Some test cases are added using error speculation; 4) If the program's functional description contains combinations of input conditions, the cause-effect diagram method should be selected at the outset; if a function of the program is suitable for automatic testing, automatic testing methods and random testing can be used for testing.

Development Information

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