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Functional Dependency Detection for Integration Test Cases
RISE - Research Institutes of Sweden, ICT, SICS.ORCID iD: 0000-0002-8724-9049
KTH Royal Institute of Technology, Sweden.
KTH Royal Institute of Technology, Sweden.
Mälardalen University, Sweden.
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2018 (English)In: Proceedings - 2018 IEEE 18th International Conference on Software Quality, Reliability, and Security Companion, QRS-C 2018, 2018, p. 207-214Conference paper, Published paper (Refereed)
Abstract [en]

This paper presents a natural language processing (NLP) based approach that, given software requirements specification, allows the functional dependency detection between integration test cases. We analyze a set of internal signals to the implemented modules for detecting dependencies between requirements and thereby identifying dependencies between test cases such that: module 2 depends on module 1 if an output internal signal from module 1 enters as an input internal signal to the module 2. Consequently, all requirements (and thereby test cases) for module 2 are dependent on all the designed requirements (and test cases) for module 1. The dependency information between requirements (and thus corresponding test cases) can be utilized for test case prioritization and scheduling. We have implemented our approach as a tool and the feasibility is evaluated through an industrial use case in the railway domain at Bombardier Transportation (BT), Sweden. © 2018 IEEE.

Place, publisher, year, edition, pages
2018. p. 207-214
Keywords [en]
Dependency, Internal Signals, NLP, Optimization, Software Requirement, Software Testing, C (programming language), Computer software selection and evaluation, Integral equations, Natural language processing systems, Requirements engineering, Software reliability, Testing, Bombardier Transportation, Dependency informations, Functional dependency, Software requirements, Software requirements specifications, Test case prioritization
National Category
Natural Sciences
Identifiers
URN: urn:nbn:se:ri:diva-35160DOI: 10.1109/QRS-C.2018.00047Scopus ID: 2-s2.0-85052305334ISBN: 9781538678398 (print)OAI: oai:DiVA.org:ri-35160DiVA, id: diva2:1247240
Conference
18th IEEE International Conference on Software Quality, Reliability, and Security Companion, QRS-C 2018, 16 July 2018 through 20 July 2018
Available from: 2018-09-11 Created: 2018-09-11 Last updated: 2018-09-11Bibliographically approved

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Tahvili, SaharSaadatmand, MehrdadBohlin, Markus

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CiteExportLink to record
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  • apa
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