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Keywords-based test categorization for Extra-Functional Properties

Abbas, Muhammad (author)
RISE,Industriella system,RISE Research Institutes of Sweden
Rauf, Abdel (author)
RISE,RISE Research Institute of Sweden
Saadatmand, Mehrdad, 1980- (author)
RISE,Industriella system,RISE Research Institute of Sweden
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Enoiu, Eduard Paul, PhD (author)
Mälardalens högskola,Inbyggda system
Sundmark, Daniel (author)
Mälardalens högskola,Inbyggda system
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 (creator_code:org_t)
IEEE, 2020
2020
English.
In: 2020 IEEE International Conference on Software Testing, Verification and Validation Workshops (ICSTW). - : IEEE. - 9781728110752 ; , s. 153-156
  • Conference paper (peer-reviewed)
Abstract Subject headings
Close  
  • 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.

Subject headings

TEKNIK OCH TEKNOLOGIER  -- Elektroteknik och elektronik -- Datorsystem (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Electrical Engineering, Electronic Engineering, Information Engineering -- Computer Systems (hsv//eng)

Keyword

formal specification
program testing
text analysis
semantic keywords-based textual test categorization
extra-functional properties
coverage-based test case selection
keywords-based test categorization
semiautomated approach
Dictionaries
Safety
Testing
Natural language processing
Tagging
Tools
Manuals
test categorization
topic model
keyword extraction

Publication and Content Type

ref (subject category)
kon (subject category)

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