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RETRACTED ARTICLE: Automatic test case generation for validating the dynamic behaviors of the complete solar power monitoring system

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This article was retracted on 20 September 2022

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Abstract

Recently, a photovoltaic energy integrated monitoring system may happen a serious problem with a little error. After constructing the complete solar power monitoring system, this is, a kind of safety-critical system, it should consider how to completely validate it based on requirements of this system. For even code based test coverage in safety critical area, it must achieve 100% of Path and MC/DC coverage on dynamic analysis. To do this, we suggest to automatic test generation on Model Driven Approach to ensure 100% functional requirement coverage using minimal test cases. More important idea is to generate an image (of test case) with an image (of sequence diagram) based on automatic multimedia image translation processing, but not use an algorithmic method in the old fashion. Our approach is focusing on validating the dynamic behaviors of the safety system, which generate test cases based on sequence diagram, that is, use case scenario to design the dynamic behaviors of the solar power monitoring system. As a result, it can validate the safety critical system with minimal test cases.

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References

  1. Chae HS (2014) Model-based test-concepts and issues. Korean Institute of Information Scientists and Engineers 32(4):59–71

    Google Scholar 

  2. Duygulu P, Barnard K, de Freitas JFG, Forsyth DA (2002) Object recognition as machine translation: learning a lexicon for a fixed image vocabulary. Computer Vision — ECCV 2353:97–112

    MATH  Google Scholar 

  3. Fekih H, Ayed LJB, Merz S (2006) Transformation of B specifications into UML class diagram and state machines. 21th Annual ACM Symposium on Applied Computing - SAC 2:1840–1844

    Article  Google Scholar 

  4. Jang WS, Son HS, BoKyung P, Kim RYC (2016) Implementation of effective web integrated monitoring system for small renewable energy business industries. Korean Institute of Smart Media 5(1):303–305

    Google Scholar 

  5. Kim RYC, Joo B-G, Kim K-C, Joen B-K (2003) Scenario Based Testing & Test Plan Metrics Based on A User Case Approach for Real Time UPS. The 2003 International Conference on Computational Science and Its Applications. pp 646–655

  6. Kim Y, Son H, Kim W, Seo J, Kim D, Seo Y, Dongkuk R, Kim RY (2007) A study on modeling the obstacle avoidance UGV using extended executable UML. Joint Workshop on Software Engineering Technology 5(1):108–116

    Google Scholar 

  7. Kim WY, Son HS, RYC Kim (2011) A Study on Test Case Generation Based on State Diagram in Modeling and Simulation Environment. Advanced Communication and Networking Springer, CCIS199. pp 298–305

  8. Mogyorodi GE (2005) B. Math. Requirements-Based Testing-Cause-Effect Graphing. Software Testing Services

  9. NIPA (2014) Software Engineering White Book. National IT Industry Promotion Agency, 2014

  10. Son HS, Kim RYC (2016) Modeling a Photovoltaic Monitoring System based on Maintenance Perspective for New & Renewable Energy. The 2nd International Joint Conference on Convergence, AACL 07. pp 144–147

  11. Woo S, Hyunseung S, Kim RY (2012) A study on extending message-sequence diagram for mapping cause-effect diagram. Korea Information Processing Society 19(1):1251–1254

    Google Scholar 

  12. Woo S, Son H, Kim W, Jaeseung K, Kim RY (2012) A study testcase extraction based M&S for pre-testing. Korea Conference on Software Engineering 14(1):181–183

    Google Scholar 

Download references

Acknowledgements

This work was supported by the Human Resource Training Program for Regional Innovation and Creativity through the Ministry of Education and National Research Foundation of Korea (NRF-2015H1C1A1035548), and this research was supported by a grant (17CTAP-C133299-01) from Technology Advancement Research Program funded by Ministry of Land, Infrastructure and Transport of Korean government.

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Correspondence to R. Young Chul Kim.

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This article has been retracted. Please see the retraction notice for more detail:https://doi.org/10.1007/s11042-022-13970-1

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Jang, W.S., Jeon, B.K., Son, H.S. et al. RETRACTED ARTICLE: Automatic test case generation for validating the dynamic behaviors of the complete solar power monitoring system. Multimed Tools Appl 78, 28477–28513 (2019). https://doi.org/10.1007/s11042-017-5599-4

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  • DOI: https://doi.org/10.1007/s11042-017-5599-4

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