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Electronics
Article . 2022 . Peer-reviewed
License: CC BY
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Karnaugh-Veitch Maps as Minimal Formal Contract between Textual Requirements and Tests: A Use-Case Based Technical Analysis

Authors: Müllner, Nils Henning;
APC: 1,736.5 EUR

Karnaugh-Veitch Maps as Minimal Formal Contract between Textual Requirements and Tests: A Use-Case Based Technical Analysis

Abstract

Checking that requirements written in natural language hold for a formally implemented system is a complex task. Test steps are commonly implemented manually from the requirements. This process is inherently prone to mistakes, as test cases are complex and need to be analyzed sequentially to check which input/output combinations are tested (although tools allow for explicit tracing). Utilizing Karnaugh–Veitch maps as minimal formal contract between informal requirements and implemented test steps improves this process. KV-maps provide the requirements in a computer-editable way, as they correspond to Boolean formulas. KV-maps further allow to define which test steps are relevant. With both requirements and relevance specification at hand, test steps are automatically generated. The approach is applied on a real-world industrial use-case—a train control management system. Although being generally amenable to permutation testing, the selected use-case emphasizes the potential of the method. The method successfully demonstrates its benefits and may help to disclose flaws in the current manually implemented tests.

Country
Germany
Related Organizations
Keywords

Veitch, IBM Doors, IBM doors; KV-maps; karnaugh; veitch; permutation testing; TCMS, KV-Maps, Permutation Testing, TCMS, Karnaugh

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
Green
gold