Document Type : Research Article
Authors
1 MDSE Research Group, Dept. of Software Engineering, University of Isfahan, Isfahan, Iran.
2 Department of Library and Information Science, Payame Noor University, Iran.
Abstract
Keywords
Main Subjects
[1] | R. France and B. Rumpe. Model-driven development of complex software: A research roadmap. In Future of Software Engineering (FOSE'07), pages 37--54. IEEE, 2007. [ bib | DOI ] |
[2] | F. Ciccozzi, J. Carlson, P. Pelliccione, and M. Tivoli. Editorial to theme issue on model-driven engineering of component-based software systems. Software & Systems Modeling, 18(1):7--10, 2017. [ bib | DOI ] |
[3] | D. S. Kolovos, L. M. Rose, N. Matragkas, R. F. Paige, E. Guerra, J. S. Cuadrado, J. De Lara, I. Ráth, D. Varró, M. Tisi, and J. Cabot. A research roadmap towards achieving scalability in model driven engineering. In Proceedings of the Workshop on Scalability in Model Driven Engineering, pages 1--10, 2013. [ bib | DOI ] |
[4] | DC. Shcmidt. Guest editor's introduction: Model-driven engineering. IEEE Computer, 39:25--31, 2006. [ bib | DOI ] |
[5] | M. Brambilla, J. Cabot, and M. Wimmer. Model-Driven Software Engineering in Practice. Synthesis lectures on software engineering, 2017. [ bib ] |
[6] | S. Sendall and W. Kozaczynski. Model transformation: The heart and soul of model-driven software development. IEEE software, 20(5):42 -- 45, 2003. [ bib | DOI ] |
[7] | J. Whittle, J. Hutchinson, and M. Rouncefield. The State of Practice in Model-Driven Engineering. IEEE Software, 31(3):79 -- 85, 2013. [ bib | DOI ] |
[8] | J. Hutchinson, J. Whittle, M. Rouncefield, and S. Kristoffersen. Empirical assessment of MDE in industry. In Proceedings of the 33rd International Conference on Software Engineering, page 471–480, 2011. [ bib | DOI ] |
[9] | P. Mohagheghi, W. Gilani, A. Stefanescu, and M. A. Fernandez. An empirical study of the state of the practice and acceptance of model-driven engineering in four industrial cases. Empirical Software Engineering, 18(1):89--116, 2013. [ bib | DOI ] |
[10] | J. M. Gascueña, E. Navarro, and A. Fernández-Caballero. Model-driven engineering techniques for the development of multi-agent systems. Engineering Applications of Artificial Intelligence, 25(1):159--173, 2012. [ bib | DOI ] |
[11] | G. Beydoun, G. Low, H. Mouratidis, and B. Henderson-Sellers. A security-aware metamodel for multi-agent systems (MAS). Information and Software Technologye, 51(5):832--845, 2009. [ bib | DOI ] |
[12] | N. Ferry, A. Rossini, F. Chauvel, B. Morin, and A. Solberg. Towards Model-Driven Provisioning, Deployment, Monitoring, and Adaptation of Multi-cloud Systems. In 2013 IEEE Sixth International Conference on Cloud Computing, pages 887--894. IEEE, 2013. [ bib | DOI ] |
[13] | M. Almorsy, J. Grundy, and A. S. Ibrahim. Adaptable, model-driven security engineering for SaaS cloud-based applications. Automated Software Engineering, 21(2):187–224, 2014. [ bib | DOI ] |
[14] | N. Ferry, H. Song, A. Rossini, F. Chauvel, and A. Solberg. CloudMF: Applying MDE to Tame the Complexity of Managing Multi-cloud Applications. In 2014 IEEE/ACM 7th International Conference on Utility and Cloud Computing, pages 269--277. IEEE, 2014. [ bib | DOI ] |
[15] | M. Usman, M. Z. Iqbal, and M. U. Khan. A product-line model-driven engineering approach for generating feature-based mobile applications. Journal of Systems and Software, 123:1--32, 2017. [ bib | DOI ] |
[16] | W. S. El-Kassas, B. A. Abdullah, A. H. Yousef, and A. M. Wahba. Taxonomy of Cross-Platform Mobile Applications Development Approaches. Ain Shams Engineering Journal, 8(2):163--190, 2017. [ bib | DOI ] |
[17] | D. Akdur, V. Garousi, and O. Demirörs. A survey on modeling and model-driven engineering practices in the embedded software industry. Journal of Systems Architecture, 91:62--82, 2018. [ bib | DOI ] |
[18] | İ. Özen Çinar. Bibliometric analysis of breast cancer research in the period 2009-2018. International Journal of Nursing Practice, 26(3), 2020. [ bib | DOI ] |
[19] | J. A. Wallin. Bibliometric Methods: Pitfalls and Possibilities. Basic & clinical pharmacology & toxicology, 97(5):261--275, 2005. [ bib | DOI ] |
[20] | A. Pritchard. Statistical Bibliography or Bibliometrics? Journal of Documentation, 25(4):348--349, 1969. [ bib | DOI ] |
[21] | M. Gil, K. Wróbel, J. Montewka, and F. Goerlandt. A bibliometric analysis and systematic review of shipboard Decision Support Systems for accident prevention. Safety Science, 128:104717, 2020. [ bib | DOI ] |
[22] | A. Kataria, S. Kumar, R. Sureka, and B. Gupta. Forty years of Employee Relations – The International Journal: a bibliometric overview. Employee Relations: The International Journal, 42(6):1205--1230, 2020. [ bib | DOI ] |
[23] | D. T. Hawkins. Unconventional uses of on-line information retrieval systems: On-line bibliometric studies. Journal of the American Society for Information Science, 28(1):13--18, 1977. [ bib | DOI ] |
[24] | A. Firdaus, M. F. Ab Razak, A. Feizollah, I. A. T. Hashem, M. Hazim, and N. B. Anuar. The rise of “blockchain”: bibliometric analysis of blockchain study. Scientometrics, 120(3):1289–1331, 2019. [ bib | DOI ] |
[25] | H. M. Rouzbahani, H. Karimipour, A. Dehghantanha, and R. M. Parizi. Blockchain Applications in Power Systems: A Bibliometric Analysis. In Advances in Information Security, pages 129--145. Springer, 2020. [ bib | DOI ] |
[26] | M. Kamran, H. U. Khan, W. Nisar, M. Farooq, and S. Rehman. Blockchain and Internet of Things: A bibliometric study. Computers & Electrical Engineering, 81:106525, 2020. [ bib | DOI ] |
[27] | M. Dabbagh, M. Sookhak, and N. S. Safa. The Evolution of Blockchain: A Bibliometric Study. IEEE Access, 7:19212 -- 19221, 2019. [ bib | DOI ] |
[28] | L. Zhou, L. Zhang, Y. Zhao, R. Zheng, and K. Song. A scientometric review of blockchain research. Information Systems and e-Business Management, pages 1--31, 2020. [ bib | DOI ] |
[29] | O. Ramona, M. S. Cristina, and S. Raluca. Bitcoin in the Scientific Literature – A Bibliometric Study. Studies in Business & Economics, 14(3):160 -- 174, 2019. [ bib | DOI ] |
[30] | I. Merediz-Solà and A. F. Bariviera. A bibliometric analysis of Bitcoin scientific production. Research in International Business and Finance, 50:294--305, 2019. [ bib | DOI ] |
[31] | S. Zeng, X. Ni, Y. Yuan, and F. Wang. A Bibliometric Analysis of Blockchain Research. In 2018 IEEE intelligent vehicles symposium (IV), pages 102--107. IEEE, 2018. [ bib | DOI ] |
[32] | Xiaohong Liu, Ruiqing Sun, Shiyun Wang, and Yenchun Jim Wu. The research landscape of big data: a bibliometric analysis. Library Hi Tech, 38(2):367--384, 2020. [ bib | DOI ] |
[33] | Y. Zhang, Y. Huang, A. L. Porter, G. Zhang, and J. Lu. Discovering and forecasting interactions in big data research: A learning-enhanced bibliometric study. Technological Forecasting and Social Change, 146:795--807, 2019. [ bib | DOI ] |
[34] | G. C. Nobre and E. Tavares. Scientific literature analysis on big data and internet of things applications on circular economy: a bibliometric study. Scientometrics, 111(1):463–492, 2017. [ bib | DOI ] |
[35] | P. H. Nguyen, M. Kramer, J. Klein, and Y. Le Traon. An extensive systematic review on the Model-Driven Development of secure systems. Information and Software Technology, 68:62--81, 2015. [ bib | DOI ] |
[36] | O. Masmali and O. Badreddin. Model-driven Engineering of Safety and Security Systems: A Systematic Mapping Study. Software Engineering, 7(2):30--38, 2019. [ bib | DOI ] |
[37] | P. Mongeon and A. Paul-Hus. The journal coverage of Web of Science and Scopus: a comparative analysis. Scientometrics, 106(1):213–228, 2016. [ bib | DOI ] |
[38] | C. López-Illescas, F. de Moya-Anegón, and H. F. Moed. Coverage and citation impact of oncological journals in the Web of Science and Scopus. Journal of informetrics, 2(4):304--316, 2008. [ bib | DOI ] |
[39] | P. Olle, D. Rickard, and W. S. Jesper. Celebrating scholarly communication studies: A Festschrift for Olle Persson at his 60th Birthday. International Society for Scientometrics and Informetrics, 2009. [ bib ] |
[40] | N. J. Van Eck and L. Waltman. Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics, 84(2):523--538, 2009. [ bib | DOI ] |
[41] | D. Truex, M. Cuellar, and H. Takeda. Assessing Scholarly Influence: Using the Hirsch Indices to Reframe the Discourse. Journal of the Association for Information Systems, 10(7), 2009. [ bib | DOI ] |
[42] | J. A. T. da Silva and J. Dobránszki. Multiple versions of the h-index: cautionary use for formal academic purposes. Scientometrics, 115(2):1107–1113, 2018. [ bib | DOI ] |
[43] | L. Waltman, N. J. Van Eck, and E. C. Noyons. A unified approach to mapping and clustering of bibliometric networks. Journal of informetrics, 4(4):629--635, 2010. [ bib | DOI ] |
[44] | H. M. Rouzbahani, H. Karimipour, A. Dehghantanha, and R. M. Parizi. Classification of SOA-Based Cloud Services Using Data Mining Technique. In Soft Computing: Theories and Applications, pages 971--978. Springer, 2020. [ bib | DOI ] |
[45] | A. Abouzahra, A. Sabraoui, and K. Afdel. Model composition in Model Driven Engineering: A systematic literature review. Information and Software Technology, 125:106316, 2020. [ bib | DOI ] |
[46] | P. H. Nguyen, S. Ali, and T. Yue. Model-based security engineering for cyber-physical systems: A systematic mapping study. Information and Software Technology, 83:116--135, 2017. [ bib | DOI ] |
[47] | M. A. Mohamed, M. Challenger, and G. Kardas. Applications of model-driven engineering in cyber-physical systems: A systematic mapping study. Journal of Computer Languages, 59:100972, 2020. [ bib | DOI ] |