Abstract | ||
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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. |
Year | DOI | Venue |
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2018 | 10.1109/QRS-C.2018.00047 | 2018 IEEE International Conference on Software Quality, Reliability and Security Companion (QRS-C) |
Keywords | Field | DocType |
Software Testing,Dependency,Software Requirement,Internal Signals,NLP,Optimization | Job shop scheduling,Dependency information,Integration testing,Scheduling (computing),Computer science,Functional dependency,Software,Test case,Software requirements specification,Reliability engineering | Conference |
ISBN | Citations | PageRank |
978-1-5386-7840-4 | 1 | 0.37 |
References | Authors | |
0 | 7 |
Name | Order | Citations | PageRank |
---|---|---|---|
Sahar Tahvili | 1 | 11 | 3.31 |
Marcus Ahlberg | 2 | 1 | 0.37 |
Eric Fornander | 3 | 1 | 0.71 |
Wasif Afzal | 4 | 388 | 30.92 |
Mehrdad Saadatmand | 5 | 43 | 13.11 |
Markus Bohlin | 6 | 77 | 14.24 |
Mahdi Sarabi | 7 | 1 | 0.37 |