Event Sequence Graph-Based Feature-Oriented Testing: a Preliminary Study
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Tuğlular, Tuğkan
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Green Open Access
Yes
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Abstract
This paper proposes a model-based approach for feature-oriented testing using event sequence graphs (ESGs). ESGs are used to generate test cases automatically for positive and negative testing. To fit ESG models to feature-oriented testing, two new improvements on ESGs are proposed. The first improvement is on repetitive use of refinement ESG and the second improvement is saving state in an ESG and passing it to the following ESG. This is a work towards communicating hierarchical ESGs. The preliminary results demonstrate the feasibility of the proposed approach. The proposed approach improves testability of features.
Description
18th IEEE International Conference on Software Quality, Reliability, and Security Companion, QRS-C 2018
Keywords
Event sequence graphs, Feature-oriented testing, Model-based testing, Feature-oriented testing, Event sequence graphs, Model-based testing
Fields of Science
0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology
Citation
Tuğlular, T. (2018, July 16-20). Event sequence graph-based feature-oriented testing: A preliminary study. Paper presented at the 18th IEEE International Conference on Software Quality, Reliability, and Security Companion, QRS-C 2018. doi:10.1109/QRS-C.2018.00102
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580
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584
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