Extra material for A Systematic Mapping Study on Enterprise Architecture Mining

Here is the entire collected data from a systematic mapping study performed on the paper entitled A Systematic Mapping Study on Enterprise Architecture Mining. Below is listed all the available files:

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    Appendix III. Selected primary studies

    This appendix provides references for all the 40 selected primary studies, which have been ordered alphabetically by author and numerated from S1 to S40.

    [S1]       Binder, J., S. Strodl, and A. Rauber. Process Migration Framework - Virtualising and Documenting Business Processes. in 2014 IEEE 18th International Enterprise Distributed Object Computing Conference Workshops and Demonstrations. 2014.

    [S2]       Bogner, J. and A. Zimmermann. Towards Integrating Microservices with Adaptable Enterprise Architecture. in 2016 IEEE 20th International Enterprise Distributed Object Computing Workshop (EDOCW). 2016.

    [S3]       Buckl, S., M. Buschle, P. Johnson, F. Matthes, and C.M. Schweda, A meta-language for enterprise architecture analysis, in Lecture Notes in Business Information Processing. 2011, Springer Verlag. p. 511-525.

    [S4]       De Silva, L. and D. Balasubramaniam, Controlling software architecture erosion: A survey. Journal of Systems and Software, 2012. 85(1): p. 132-151.

    [S5]       Farwick, M. Towards automation of Enterprise Architecture model maintenance. 2012.

    [S6]       Farwick, M., B. Agreiter, R. Breu, S. Ryll, K. Voges, and I. Hanschke. Automation Processes for Enterprise Architecture Management. in 2011 IEEE 15th International Enterprise Distributed Object Computing Conference Workshops. 2011.

    [S7]       Farwick, M., R. Breu, M. Hauder, S. Roth, and F. Matthes. Enterprise Architecture Documentation: Empirical Analysis of Information Sources for Automation. in 2013 46th Hawaii International Conference on System Sciences. 2013.

    [S8]       Farwick, M., W. Pasquazzo, R. Breu, C.M. Schweda, K. Voges, and I. Hanschke. A Meta-Model for Automated Enterprise Architecture Model Maintenance. in 2012 IEEE 16th International Enterprise Distributed Object Computing Conference. 2012.

    [S9]       Florez, H., M. Sánchez, and J. Villalobos. Supporting drafts for enterprise modeling. in 2014 9th Computing Colombian Conference (9CCC). 2014.

    [S10]   Frey, F.J., R. Bijvank, M. P, #246, and ttker, Weaving in patterns into it infrastructure models: industry case and exemplary approaches, in Proceedings of the 20th European Conference on Pattern Languages of Programs. 2015, ACM: Kaufbeuren, Germany. p. 1-25.

    [S11]   Ge, B., K.W. Hipel, K. Yang, and Y. Chen, A Novel Executable Modeling Approach for System-of-Systems Architecture. IEEE Systems Journal, 2014. 8(1): p. 4-13.

    [S12]   Glissman, S., I. Terrizzano, A. Lelescu, and J. Sanz. Systematic Web Data Mining with Business Architecture to Enhance Business Assessment Services. in 2011 Annual SRII Global Conference. 2011.

    [S13]   Groenewegen, J., S. Hoppenbrouwers, and E. Proper, Playing ArchiMate models. 2010, Springer Verlag. p. 182-194.

    [S14]   Hilliard, R., I. Malavolta, H. Muccini, and P. Pelliccione. On the Composition and Reuse of Viewpoints across Architecture Frameworks. in 2012 Joint Working IEEE/IFIP Conference on Software Architecture and European Conference on Software Architecture. 2012.

    [S15]   Hinkelmann, K., M. Maise, and B. Thönssen. Connecting enterprise architecture and information objects using an enterprise ontology. in Proceedings of the First International Conference on Enterprise Systems: ES 2013. 2013.

    [S16]   Hu, J., L. Huang, X. Chang, and B. Cao. A Model Driven Service Engineering approach to System of Systems. in 2014 IEEE International Systems Conference Proceedings. 2014.

    [S17]   Kim, H., S. Oussena, J. Essien, and P. Komisarczuk, Towards event-driven enterprise architecture, in Uncovering Essential Software Artifacts through Business Process Archeology. 2013, IGI Global. p. 285-311.

    [S18]   Kleehaus, M., Ö. Uludaǧ, and F. Matthes. Towards a multi-layer IT infrastructure monitoring approach based on enterprise architecture information. 2017. CEUR-WS.

    [S19]   Lagerström, R., C. Baldwin, A. MacCormack, and D. Dreyfus, Visualizing and measuring enterprise architecture: An exploratory biopharma case, in Lecture Notes in Business Information Processing. 2013, Springer Verlag. p. 9-23.

    [S20]   Loucopoulos, P. and E. Kavakli, Capability oriented enterprise knowledge modeling: The CODEK approach, in Domain-Specific Conceptual Modeling: Concepts, Methods and Tools. 2016, Springer International Publishing. p. 197-215.

    [S21]   Morkevičius, A., S. Gudas, and D. Silingas, SBISAF: A service-oriented business and information systems alignment method. Informatica (Netherlands), 2013. 24(2): p. 231-251.

    [S22]   Motta, G. and G. Pignatelli. From strategic to conceptual information modelling: A method and a case study. 2011. Physica-Verlag.

    [S23]   Postina, M., J. Trefke, and U. Steffens. An EA-approach to Develop SOA Viewpoints. in 2010 14th IEEE International Enterprise Distributed Object Computing Conference. 2010.

    [S24]   Pulkkinen, M. and L. Kapraali, Collaborative EA Information Elicitation Method: The IEM for Business Architecture, in 2015 IEEE 17th Conference on Business Informatics. 2015. p. 64-71.

    [S25]   Repta, D., M.A. Moisescu, I.S. Sacala, A.M. Stanescu, and G. Neagu. Automated Process Mapping for Cyber Intelligent Enterprise. in 2015 20th International Conference on Control Systems and Computer Science. 2015.

    [S26]   Rosasco, N. and J. Dehlinger, A case study investigation of a lightweight, systematic elicitation approach for enterprise architecture requirements. 2015, Springer Verlag. p. 33-45.

    [S27]   Salgado, C.E., R.J. Machado, and R.S.P. Maciel. Exploring a Three-Dimensional, Requirements-Based, Balanced Scorecard Business Model: On the Elicitation and Generation of a Business Model Canvas. in 2015 IEEE 17th Conference on Business Informatics. 2015.

    [S28]   Sánchez, M., J.C. Reyes, and J. Villalobos, Extraction and reconstruction of enterprise models, in Lecture Notes in Business Information Processing. 2014, Springer Verlag. p. 3-20.

    [S29]   Santana, A., D. Simon, K. Fischbach, and H.d. Moura. Combining Network Measures and Expert Knowledge to Analyze Enterprise Architecture at the Component Level. in 2016 IEEE 20th International Enterprise Distributed Object Computing Conference (EDOC). 2016.

    [S30]   Saraswati, A., C.F. Chang, A. Ghose, and H.K. Dam, Learning relationships between the business layer and the application layer in archimate models. 2015, Springer Verlag. p. 499-513.

    [S31]   Schmidt, R. and M. Möhring, Enterprise architecture analytics and decision support, in Intelligent Systems Reference Library. 2016, Springer Science and Business Media Deutschland GmbH. p. 201-218.

    [S32]   Schmidt, R., A. Zimmermann, M. Möhring, D. Jugel, F. Bär, and C.M. Schweda, Social-software-based support for enterprise architecture management processes. 2015, Springer Verlag. p. 452-462.

    [S33]   Truong, T.M., L. L. S, and L.P. Tôn. Re-engineering Enterprises Using Data Warehouse as a Driver and Requirements as an Enabler. in 2017 IEEE 21st International Enterprise Distributed Object Computing Conference (EDOC). 2017.

    [S34]   Uysal, M.P., A. Halici, and A.E. Mergen. Re-engineering enterprise architectures. 2017. Institute of Electrical and Electronics Engineers Inc.

    [S35]   Välja, M., R. Lagerström, M. Ekstedt, and M. Korman. A Requirements Based Approach for Automating Enterprise IT Architecture Modeling Using Multiple Data Sources. in 2015 IEEE 19th International Enterprise Distributed Object Computing Workshop. 2015.

    [S36]   Van Langerak, R., J.M.E.M. Van Der Werf, and S. Brinkkemper, Uncovering the runtime enterprise architecture of a large distributed organisation a process mining-oriented approach. 2017, Springer Verlag. p. 247-263.

    [S37]   Veneberg, R.K.M., M.E. Iacob, M.J. Van Sinderen, and L. Bodenstaff, Relating Business Intelligence and Enterprise Architecture - A Method for Combining Operational Data with Architectural Metadata. International Journal of Cooperative Information Systems, 2016. 25(2).

    [S38]   Wehling, K., D. Wille, C. Seidl, and I. Schaefer. Decision Support for Reducing Unnecessary IT Complexity of Application Architectures. in 2017 IEEE International Conference on Software Architecture Workshops (ICSAW). 2017.

    [S39]   Wille, D., K. Wehling, C. Seidl, M. Pluchator, and I. Schaefer. Variability mining of technical architectures. 2017. Association for Computing Machinery.

    [S40]   Yu, T.Y., Model-driven applications: Using model-driven mechanism to bridge the gap between business and IT, in Advances and Applications in Model-Driven Engineering. 2013, IGI Global. p. 53-72.

    [S41] Hacks, S. and H. Lichter, A Probabilistic Enterprise Architecture Model Evolution, in 2018 IEEE 22nd International Enterprise Distributed Object Computing Conference (EDOC). 2018. p. 51-57.

    [S42] Ahmad, M., M. Odeh, and S. Green, Derivation of a Semantic Cancer Care Information Architecture from Riva-based Business Process Architecture using the BPAOntoEIA Framework, in 2018 1st International Conference on Cancer Care Informatics (CCI). 2018. p. 152-164.

    [S43] Sousa, P. and M. Carvalho, Dynamic Organization's Representation. Linking Project Management with Enterprise Architecture, in 2018 IEEE 20th Conference on Business Informatics (CBI). 2018. p. 170-174.

    [S44] Zhang, M., H. Chen, X. Li, and K. Lyytinen, Evolvement of Business-IT Alignment: A Conceptual Model and Intervening Changes From Resource Allocation. IEEE Access, 2018. 6: p. 9160-9172.

    [S45] Kleehaus, M., Ö. Uludağ, P. Schäfer, and F. Matthes, MICROLYZE: A framework for recovering the software architecture in microservice-based environments. 2018. p. 148-162.




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