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This paper demonstrates our proposed Reuse Strategic Decision Pattern Framework (RSDPF) based on blending ANP and TOPSIS techniques, enabled by the OSM model with data analytics. The motivation, related work, theory, the use and deployment, and the service deployment of the framework have been discussed in details. In this paper, RSDPF framework is demonstrated by the data analysis and interpretations based on a financial service firm. The OSM model allows 3 step of processed to be performed in one go to perform statistical tests, identify linear relations, check consistency on dataset and calculate OLS regression. The aim is to identify the actual, expected and risk rates of profitability. Code and services can be reused to compute for analysis. Service integration of the RSDPF framework has been demonstrated. Results confirm that there is a high extent of reliability. In this paper, we have demonstrated the reuse and integration of the framework supported by the case study of the financial service firm with its data analysis and service to justify our research contributions – reuse and integration in statistical data mining, knowledge and heuristic discovery and finally domain transference.
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Abrahamsson, P., Salo, O., Ronkainen, J., & Warsta, J. (2017). Agile software development methods: Review and analysis. arXiv preprint arXiv:1709.08439.
Adalı, E. A., & Işık, A. T. (2017). The multi-objective decision making methods based on MULTIMOORA and MOOSRA for the laptop selection problem. Journal of Industrial Engineering International, 13(2), 229–237. CrossRef
Alcalá-Fdez, J., Fernández, A., Luengo, J., Derrac, J., García, S., Sánchez, L., & Herrera, F. (2011). Keel data-mining software tool: data set repository, integration of algorithms and experimental analysis framework. Journal of Multiple-Valued Logic & Soft Computing, 17, 255–287.
Barga, R., Fontama, V, & Tok, W. Y (2014) Predictive analytics with Microsoft azure machine learning: Build and deploy actionable solutions in minutes, Apress/springer, ISBN 978–1–4842-0446-7.
Bellifemine, F., Caire, G., Poggi, A., & Rimassa, G. (2008). JADE: A software framework for developing multi-agent applications. Lessons learned. Information and Software Technology, 50(1), 10–21. CrossRef
Boehm, B. (2006, May). A view of 20th and 21st century software engineering. In Proceedings of the 28th international conference on Software engineering (pp. 12–29). ACM.
Bonaccorsi, A., & Rossi, C. (2003). Why open source software can succeed. Research Policy, 32(7), 1243–1258. CrossRef
Bruch, M., Mezini, M., & Monperrus, M. (2010, May). Mining subclassing directives to improve framework reuse. In Mining Software Repositories (MSR), 2010 7th IEEE Working Conference on (pp. 141–150). IEEE.
Chang, V. (2014). A proposed model to analyse risk and return for cloud adoption. Lambert Academic Publishing, ISBN: 978-3-659-58769-6.
Chang, V. (2017). Presenting cloud business performance for manufacturing organizations. Information Systems Frontiers, 1–17.
Chang, V., & Wills, G. (2016). A model to compare cloud and non-cloud storage of big data. Future Generation Computer Systems, 57, 56–76. CrossRef
Chen, M., Mao, S., & Liu, Y. (2014). Big data: A survey. Mobile Networks and Applications, 19(2), 171–209. CrossRef
Cockburn, A. (2006). Agile software development: the cooperative game. Pearson Education,2 nd Edtion, ISBN 0321482751.
Cordell, D., Rosemarin, A., Schröder, J. J., & Smit, A. L. (2011). Towards global phosphorus security: A systems framework for phosphorus recovery and reuse options. Chemosphere, 84(6), 747–758. CrossRef
Damschroder, L. J., Aron, D. C., Keith, R. E., Kirsh, S. R., Alexander, J. A., & Lowery, J. C. (2009). Fostering implementation of health services research findings into practice: A consolidated framework for advancing implementation science. Implementation Science, 4(1), 50. CrossRef
Engwall, M. (2003). No project is an island: Linking projects to history and context. Research Policy, 32(5), 789–808. CrossRef
Han, J., Pei, J., & Kamber, M. (2011). Data mining: Concepts and techniques. Elsevier.
Humble, J., & Farley, D. (2010). Continuous delivery: Reliable software releases through build, test, and deployment automation (adobe reader). Pearson Education.
Jennings, N. R. (2001). An agent-based approach for building complex software systems. Communications of the ACM, 44(4), 35–41. CrossRef
Khan, W. Z., Xiang, Y., Aalsalem, M. Y., & Arshad, Q. (2013). Mobile phone sensing systems: A survey. IEEE Communications Surveys & Tutorials, 15(1), 402–427. CrossRef
Kirk, D., Roper, M., & Wood, M. (2007). Identifying and addressing problems in object-oriented framework reuse. Empirical software engineering, 12(3), 243–274. CrossRef
Ko, A. J., Abraham, R., Beckwith, L., Blackwell, A., Burnett, M., Erwig, M., et al. (2011). The state of the art in end-user software engineering. ACM Computing Surveys (CSUR), 43(3), 21. CrossRef
Lee, S., Kang, Y., Ialongo, N. S., & Prabhu, V. V. (2016). Predictive analytics for delivering prevention services. Expert Systems with Applications, 55, 469–479. CrossRef
Leung, C. K., Jiang, F., Zhang, H., & Pazdor, A. G. (2016, August). A Data Science Model for Big Data Analytics of Frequent Patterns. In Dependable, Autonomic and Secure Computing, 14th Intl Conf on Pervasive Intelligence and Computing, 2nd Intl Conf on Big Data Intelligence and Computing and Cyber Science and Technology Congress (DASC/PiCom/DataCom/CyberSciTech), 2016 I.E. 14th Intl C (pp. 866–873). IEEE.
Mather, T., Kumaraswamy, S., & Latif, S. (2009). Cloud security and privacy: an enterprise perspective on risks and compliance. " O'Reilly Media, Inc.".
Papazoglou, M. P., & Heuvel, W. J. (2007). Service oriented architectures: Approaches, technologies and research issues. The VLDB Journal—The International Journal on Very Large Data Bases, 16(3), 389–415. CrossRef
Papazoglou, M. P., Traverso, P., Dustdar, S., & Leymann, F. (2008). Service-oriented computing: A research roadmap. International Journal of Cooperative Information Systems, 17(02), 223–255. CrossRef
Patton, W., & McMahon, M. (2006). The systems theory framework of career development and counseling: Connecting theory and practice. International Journal for the Advancement of Counselling, 28(2), 153–166. CrossRef
Pressman, R. S. (2005). Software engineering: A practitioner's approach (6th Edition, ISBN ed.). Palgrave Macmillan. isbn:0-07-285318-2.
Ramachandran, M. (2008). Software components: Guidelines and applications. NY: Nova science.
Ramachandran, M and Jamnal, G (2014) Developing reusable. NET software components, Science and Information Conference (SAI), 2014.
Russom, P. (2011). Big data analytics. TDWI best practices report, fourth quarter, 19, 40.
Saaty, T. L. (1996). Decision making with dependence and feedback: The analytic network process (Vol. 4922). Pittsburgh: RWS publications.
Saaty T. L. (1986). Axiomatic foundation of the analytic hierarchy process. Management Science, 32(7), 841–855.
Saaty, T. L. (2004). Decision making—The analytic hierarchy and network processes (AHP/ANP). Journal of Systems Science and Systems Engineering, 13, 1–35. CrossRef
Shawe-Taylor, J., & Cristianini, N. (2004). Kernel methods for pattern analysis. Cambridge university press.
Sun, G., Chang, V., Yang, G., & Liao, D. (2018). The cost-efficient deployment of replica servers in virtual content distribution networks for data fusion. Information Sciences, 432, 495–515. CrossRef
Tzeng, G. H., & Huang, J. J. (2011). Multiple attribute decision making: Methods and applications. CRC press.
Witten, I. H., Frank, E., Hall, M. A., & Pal, C. J. (2016). Data mining: Practical machine learning tools and techniques. Morgan Kaufmann.
Xin, T., & Yang, L. (2017, June). A framework of software reusing engineering management. In Software Engineering Research, Management and Applications (SERA), 2017 I.E. 15th International Conference on (pp. 277–282). IEEE.
- Towards a Reuse Strategic Decision Pattern Framework – from Theories to Practices
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