Test Case Generation Algorithms and Tools for Specifications in Natural Language
| Autor: | Takeru Kuroiwa, Noriyuki Kushiro, Yusuke Aoyama |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Nondeterministic algorithm
Test case Computer science 0202 electrical engineering electronic engineering information engineering 020206 networking & telecommunications 020201 artificial intelligence & image processing 02 engineering and technology Decision table Algorithm Natural language Test (assessment) |
| Zdroj: | ICCE |
| DOI: | 10.1109/icce46568.2020.9043022 |
| Popis: | Nowadays, most consumer products are equipped with methods of network communications, and nondeterministic tests, which are originated from random message exchanges via the network, should be carried out. Therefore, the tests of the consumer products with network have obliged us to consume much time to design and conduct. For reducing the labor of designing test cases, algorithms and tools, which help test engineers to convert specifications written in a natural language into semiformal descriptions, and to generate test cases including deterministic and nondeterministic test cases as decision tables, are proposed in the paper. The algorithms and tools were applied to a tiny example for evaluation and confirmed that they have succeeded in generating test cases from documents in a natural language. |
| Databáze: | OpenAIRE |
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