Keywords-based test categorization for Extra-Functional Properties

Categorizing existing test specifications can provide insights on coverage of the test suite to extra-functional properties. Manual approaches for test categorization can be time-consuming and prone to error. In this short paper, we propose a semi-automated approach for semantic keywords-based textu...

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Vydáno v:2020 IEEE International Conference on Software Testing, Verification and Validation Workshops (ICSTW) s. 153 - 156
Hlavní autoři: Abbas, Muhammad, Rauf, Abdul, Saadatmand, Mehrdad, Enoiu, Eduard Paul, Sundmark, Daniel
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: IEEE 01.10.2020
Témata:
Dictionaries
keyword extraction
Manuals
Natural language processing
Safety
Tagging
test categorization
Testing
topic model
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Shrnutí:Categorizing existing test specifications can provide insights on coverage of the test suite to extra-functional properties. Manual approaches for test categorization can be time-consuming and prone to error. In this short paper, we propose a semi-automated approach for semantic keywords-based textual test categorization for extra-functional properties. The approach is the first step towards coverage-based test case selection based on extra-functional properties. We report a preliminary evaluation of industrial data for test categorization for safety aspects. Results show that keyword-based approaches can be used to categorize tests for extra-functional properties and can be improved by considering contextual information of keywords.
DOI:10.1109/ICSTW50294.2020.00035