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Generating Controll...
Generating Controllably Invalid and Atypical Inputs for Robustness Testing
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- Poulding, Simon (author)
- Blekinge Tekniska Högskola,Institutionen för programvaruteknik
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- Feldt, Robert (author)
- Blekinge Tekniska Högskola,Institutionen för programvaruteknik
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(creator_code:org_t)
- Institute of Electrical and Electronics Engineers Inc. 2017
- 2017
- English.
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In: Proceedings - 10th IEEE International Conference on Software Testing, Verification and Validation Workshops, ICSTW 2017. - : Institute of Electrical and Electronics Engineers Inc.. - 9781509066766 ; , s. 81-84
- Related links:
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Subject headings
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- One form of robustness in a software system is its ability to handle, in an appropriate manner, inputs that are unexpected compared to those it would experience in normal operation. In this paper we investigate a generic approach to generating such unexpected test inputs by extending a framework that we have previously developed for the automated creation of complex and high-structured test data. The approach is applied to the generation of valid inputs that are atypical as well as inputs that are invalid. We demonstrate that our approach enables control of the 'degree' to which the test data is invalid or atypical, and show empirically that this can alter the extent to which the robustness of a software system is exercised during testing. © 2017 IEEE.
Subject headings
- NATURVETENSKAP -- Data- och informationsvetenskap -- Programvaruteknik (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Software Engineering (hsv//eng)
Keyword
- Automatic test pattern generation
- Computer software
- Verification
- Generic approach
- Normal operations
- Robustness testing
- Software systems
- Structured tests
- Test data
- Test inputs
- Software testing
Publication and Content Type
- ref (subject category)
- kon (subject category)
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