RE4TinyOS: A Reverse Engineering Methodology for the MDE of TinyOS Applications

• Autorzy: Marah Hussein M. , Challenger Moharram , Kardas Geylani

Identyfikatory

DOI

10.15439/2020F133

• Konferencja: Federated Conference on Computer Science and Information Systems (15 ; 06-09.09.2020 ; Sofia, Bulgaria)
• Języki publikacji: EN

Abstrakty

EN

In this paper, we introduce a tool-supported reverse engineering methodology, called RE4TinyOS to create or update application models from TinyOS programs for the construction of Wireless Sensor Networks. Integrating with an existing model-driven engineering (MDE) environment, use of RE4TinyOS enables the model-code synchronization where any modification made in the TinyOS application code can be reflected into the application model and vice versa. Conducted case studies exemplified this model-code synchronization as well as the capability of creating application models completely from already existing TinyOS applications without models, which is crucial to integrate the implementations of the third party TinyOS applications into the MDE processes. Evaluation results showed that RE4TinyOS succeeded in the reverse engineering of all main parts of two well-known TinyOS applications taken from the official TinyOS Github repository and generated models were able to be visually processed in the MDE environment for further modifications.

Słowa kluczowe

EN

model-driven engineering; MDE; reverse engineering; wireless sensor network; TinyOS; RE4TinyOS

PL

inżynieria oparta na modelach; MDE; inżynieria odwrotna; sieć czujników bezprzewodowych; TinyOS; RE4TinyOS

• Wydawca: Polskie Towarzystwo Informatyczne
• Czasopismo: Annals of Computer Science and Information Systems
• Rocznik: 2020
• Tom: Vol. 21
• Strony: 741--750
• Opis fizyczny: Bibliogr. 30 poz., il.

Twórcy

autor

Marah Hussein M.

• International Computer Institute, Ege University, Izmir, Turkey

autor

Challenger Moharram

• Department of Computer Science, Univeristy of Antwerp and Flanders Make, Belgium

autor

Kardas Geylani

• International Computer Institute, Ege University, Izmir, Turkey

Bibliografia

• 1. M. A. Matin and M. Islam, “Overview of wireless sensor network,” Wireless Sensor Networks-Technology and Protocols, pp. 1–3, 2012.
• 2. P. Levis, S. Madden, J. Polastre, R. Szewczyk, K. Whitehouse, A. Woo, D. Gay, J. Hill, M. Welsh, E. Brewer, and D. Culler, “TinyOS: An operating system for sensor networks,” in Ambient Intelligence, W. Weber, J. M. Rabaey, and E. Aarts, Eds. Springer Berlin Heidelberg, 2005, pp. 115–148. http://dx.doi.org/https://doi.org/10.1007/3-540-27139-2 7
• 3. P. Levis and D. Gay, TinyOS Programming. Cambridge University Press, 2009.
• 4. H. M. Marah, R. Eslampanah, and M. Challenger, “DSML4TinyOS: Code Generation for Wireless Devices,” in ACM/IEEE 21st International Conference on Model Driven Engineering Languages and Systems (MODELS), Model-Driven Engineering for the Internet-of-Things (MDE4IoT), 2018, pp. 509–514.
• 5. T. Hettel, M. Lawley, and K. Raymond, “Model synchronisation: Definitions for round-trip engineering,” in Theory and Practice of Model Transformations, ser. Lecture Notes in Computer Science, A. Vallecillo, J. Gray, and A. Pierantonio, Eds. Springer Berlin Heidelberg, 2008, pp. 31–45.
• 6. H. Giese and R. Wagner, “From model transformation to incremental bidirectional model synchronization,” Software & Systems Modeling, vol. 8, no. 1, pp. 21–43, 2009. http://dx.doi.org/10.1007/s10270-008-0089-9
• 7. L. Favre, Model Driven Architecture for Reverse Engineering Technologies: Strategic Directions and System Evolution. Engineering Science Reference, 2010, google-Books-ID: e4RLuAAACAAJ.
• 8. I. Malavolta and H. Muccini, “A study on MDE approaches for engineering wireless sensor networks,” in 2014 40th EUROMICRO Conference on Software Engineering and Advanced Applications, 2014, pp. 149–157, ISSN: 2376-9505. http://dx.doi.org/https://doi.org/10.1109/SEAA.2014.61
• 9. F. Essaadi, Y. Ben Maissa, and M. Dahchour, “MDE-based languages for wireless sensor networks modeling: A systematic mapping study,” in Advances in Ubiquitous Networking 2, ser. Lecture Notes in Electrical Engineering, R. El-Azouzi, D. S. Menasche, E. Sabir, F. De Pellegrini, and M. Benjillali, Eds. Springer, 2017, pp. 331–346. http://dx.doi.org/https://doi.org/10.1007/978-981-10-1627-1 26
• 10. M. A. Saad, E. Fehr, N. Kamenzky, and J. Schiller, “ScatterClipse: A model-driven tool-chain for developing, testing, and prototyping wireless sensor networks,” in 2008 IEEE International Symposium on Parallel and Distributed Processing with Applications, 2008, pp. 871–885, ISSN: 2158-9208. http://dx.doi.org/https://doi.org/10.1109/ISPA.2008.22
• 11. N. X. Thang and K. Geihs, “Model-driven development with optimization of non-functional constraints in sensor network,” in Proceedings of the 2010 ICSE Workshop on Software Engineering for Sensor Network Applications, ser. SESENA ’10. ACM, 2010, pp. 61–65. http://dx.doi.org/https://doi.org/10.1145/1809111.1809128
• 12. K. Doddapaneni, E. Ever, O. Gemikonakli, I. Malavolta, L. Mostarda, and H. Muccini, “A model-driven engineering framework for architecting and analysing wireless sensor networks,” in Proceedings of the Third International Workshop on Software Engineering for Sensor Network Applications, ser. SESENA ’12. IEEE Press, 2012, pp. 1–7. http://dx.doi.org/https://doi.org/10.1109/SESENA.2012.6225729
• 13. R. Shimizu, K. Tei, Y. Fukazawa, and S. Honiden, “Model driven development for rapid prototyping and optimization of wireless sensor network applications,” in Proceedings of the 2Nd Workshop on Software Engineering for Sensor Network Applications, ser. SESENA’11. ACM, 2011, pp. 31–36. http://dx.doi.org/https://doi.org/10.1145/1988051.1988058
• 14. V. Veiset and L. M. Kristensen, “Transforming platform independent CPN models into code for the TinyOS platform: A case study of the RPL protocol,” in PNSE+ModPE, 2013.
• 15. A. Salman, “Reducing complexity in developing wireless sensor network systems using model-driven development,” phdthesis, University of Salford, 2017. http://dx.doi.org/http://usir.salford.ac.uk/44127/
• 16. T. Rodrigues, F. C. Delicato, T. Batista, P. F. Pires, and L. Pirmez, “An approach based on the domain perspective to develop WSAN applications,” Software & Systems Modeling, vol. 16, no. 4, pp. 949–977, 2017. http://dx.doi.org/10.1007/s10270-015-0498-5
• 17. C. Raibulet, F. A. Fontana, and M. Zanoni, “Model-driven reverse engineering approaches: A systematic literature review,” IEEE Access, vol. 5, pp. 14 516–14 542, 2017. http://dx.doi.org/10.1109/ACCESS.2017.2733518
• 18. H. Brunelire, J. Cabot, G. Dup, and F. Madiot, “MoDisco: A model driven reverse engineering framework,” Information and Software Technology, vol. 56, no. 8, pp. 1012–1032, 2014. http://dx.doi.org/10.1016/j.infsof.2014.04.007
• 19. L. Favre, L. Martinez, and C. Pereira, “MDA-based reverse engineering of object oriented code,” in Enterprise, Business-Process and Information Systems Modeling, ser. Lecture Notes in Business Information Processing, T. Halpin, J. Krogstie, S. Nurcan, E. Proper, R. Schmidt, P. Soffer, and R. Ukor, Eds. Springer, 2009, pp. 251–263. http://dx.doi.org/https://doi.org/10.1007/978-3-642-01862-6 21
• 20. F. Barbier, S. Eveillard, K. Youbi, O. Guitton, A. Perrier, and E. Cariou, “Model-driven reverse engineering of cobol-based applications,” in Information Systems Transformation. Elsevier, 2010, pp. 283–299.
• 21. V. Cosentino, J. Cabot, P. Albert, P. Bauquel, and J. Perronnet, “A model driven reverse engineering framework for extracting business rules out of a java application,” in Rules on the Web: Research and Applications, ser. Lecture Notes in Computer Science, A. Bikakis and A. Giurca, Eds. Springer, 2012, pp. 17–31. http://dx.doi.org/https://doi.org/10.1007/978-3-642-32689-9 3
• 22. . Sanchez Ramon, J. Sanchez Cuadrado, and J. Garcia Molina, “Model-driven reverse engineering of legacy graphical user interfaces,” Automated Software Engineering, vol. 21, no. 2, pp. 147–186, 2014. http://dx.doi.org/10.1007/s10515-013-0130-2
• 23. I. Comyn-Wattiau and J. Akoka, “Model driven reverse engineering of NoSQL property graph databases: The case of neo4j,” in 2017 IEEE International Conference on Big Data (Big Data), 2017, pp. 453–458. http://dx.doi.org/https://doi.org/10.1109/BigData.2017.8257957
• 24. J. Snchez Cuadrado, E. Guerra, and J. de Lara, “Reverse engineering of model transformations for reusability,” in Theory and Practice of Model Transformations, ser. Lecture Notes in Computer Science, D. Di Ruscio and D. Varr, Eds. Springer International Publishing, 2014, pp. 186–201. http://dx.doi.org/https://doi.org/10.1007/978-3-319-08789-4_14
• 25. D. Gay, P. Levis, R. Von Behren, M. Welsh, E. Brewer, and D. Culler, “The nesC language: A holistic approach to networked embedded systems,” Acm Sigplan Notices, vol. 38, no. 5, pp. 1–11, 2003.
• 26. T. Parr and K. Fisher, “LL(*): The foundation of the ANTLR parser generator,” in Proceedings of the 32Nd ACM SIGPLAN Conference on Programming Language Design and Implementation, ser. PLDI ’11. ACM, 2011, pp. 425–436, event-place: San Jose, California, USA. http://dx.doi.org/https://doi.org/10.1145/1993498.1993548
• 27. T. Parr, The Definitive ANTLR 4 Reference, 2nd ed. Pragmatic Bookshelf, 2013.
• 28. T. J. Parr and R. W. Quong, “Antlr: A predicated-ll (k) parser generator,” Software: Practice and Experience, vol. 25, no. 7, pp. 789–810, 1995.
• 29. TinyOS Github Repository, “Tinyos antitheft application,” 2013. http://dx.doi.org/https://github.com/tinyos/tinyos-main/tree/master/apps/AntiTheft
• 30. TinyoS Github Repository, “Tinyos sense application,” 2013. http://dx.doi.org/https://github.com/tinyos/tinyos-main/tree/master/apps/Sense

Uwagi

1. Track 5: Software and System Engineering

2. Technical Session: 6th Workshop on Model Driven Approaches in System Developmen

3. Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).