T/GDFCA 038-2021 Active Group standards

T/GDFCA 038-2021 Functional testing standards for food traceability system based on blockchain technology

T/GDFCA 038-2021 Functional testing standards for food traceability system based on blockchain technology

Publish Date: 2021-11-29 Implement Date: 2021-11-30 For services related to genuine standard inquiry, procurement, translation, and other related services in China, please Contact Us
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Basic Information

Standard Code: T/GDFCA 038-2021
Standard Type: Group standards
Standard Status: Active
is_force_gb: no
CCS Name: Technical management
ICS Name: Food Composite
Publish Date: 2021-11-29
Implement Date: 2021-11-30

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, black-box testing techniques such as functional decomposition, equivalence partitioning, boundary value analysis, cause-effect diagram/decision table, random testing, error prediction, intrusion testing, and static testing are adopted. 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 functionalities of the system is tested from the aspects of suitability, completeness, correctness, and functional compliance. The results of the functional testing are compared with the system's 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 find program errors using this method is the strongest; 2) Supplement some test cases with equivalence partitioning method; 3) Add some test cases with error prediction method; 4) If the function description of the program contains combinations of input conditions, the cause-effect diagram method should be selected at the beginning; if a certain function of the program is suitable for automatic testing, automatic testing methods and random testing can be used for testing.

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