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mDSM: A Transformative Approach to Enterprise Software Systems Evolution

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Abstract

The engineering of enterprise software systems suffers from an inherent lack of creativity and innovation and is often left to user-centric incremental changes that are not often disruptive enough for business needs. A design-driven approach to systems creates opportunities for transformative evolution of such systems that are both immediate and futuristic in their impact. Software systems stability can be maintained and monitored during evolution utilizing architectural-level, program-level, and information-level stability metrics. Despite increasing complexities involved in the design, development, and testing of such large-scale software systems, they are often predicated by simple techniques for decomposition, generalization, and specification. However, as always they are much more difficult to merge back together in order to rationalize the entire architecture for the levels of confidence necessary during testing, deployment, and commissioning of these systems. mDSM, an extension to Design Structure Matrix (DSM) approach to software systems design and testing, is a methodology developed by the authors to address design-driven rationalization of such complex software system architectures.

Note: The earlier results of this study (Sects. 2.4, 3.1, and 4.1) were published in Proceedings of the Twenty-sixth IEEE International Symposium on Software Reliability Engineering, Gaithersburg, MD, November 2–5, 2015.

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References

  1. Verganti, R, Design driven innovation, 3 Aug 2009, http://www.designdriveninnovation.com. Retrieved 20 May 2015

  2. P.M. Senge, The fifth discipline: the art and practice of the learning organization (Doubleday/Currency, New York, 1990)

    Google Scholar 

  3. D. Carrington, Teaching software design and testing, in Frontiers in Education Conference, 1998. FIE ‘98. 28th Annual, vol 2, 4–7 Nov 1998, pp. 547, 550. doi:10.1109/FIE.1998.738732

  4. S.S. Yau, J.J.-P. Tsai, A survey of software design techniques. IEEE Trans. Softw. Eng. SE-12(6), 713,721. doi:10.1109/TSE.1986.6312969

  5. Introduction to OMG’s Unified Modeling Language® (UML®) (n.d.). Retrieved 12 Aug 2015

    Google Scholar 

  6. T. Gorschek, E. Tempero, L. Angelis. On the use of software design models in software development practice: an empirical investigation. J. Syst. Softw. 95, 176–193 (2014). doi:10.1016/j.jss.2014.03.082

  7. L. Yu, D. Threm, S. Ramaswamy, Toward evolving self-organizing software systems: a complex system point of view, in Proceedings of the 24th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems Conference on Modern Approaches in Applied Intelligence—Volume Part II (IEA/AIE’11), ed. by K.G. Mehrotra, C.K. Mohan, J.C. Oh, P.K. Varshney, M. Ali, vol. Part II (Springer, Berlin, Heidelberg, 2011), pp. 336–346

    Google Scholar 

  8. L. Luo, Software testing techniques: technology maturation and research strategy. Class report for (2001)

    Google Scholar 

  9. S.G. Eick, T.L. Graves, A.F. Karr, J.S. Marron, A. Mockus, Does code decay? Assessing the evidence from change management data. IEEE Trans. Softw. Eng. 27(1), 1–12 (2001)

    Article  Google Scholar 

  10. P. Mohagheghi, R. Conradi, O.M. Killi, H. Schwarz, An empirical study of software reuse vs. defect-density and stability, in Proceedings of the 26th International Conference on Software Engineering (ACM Press, New York, 2004), pp. 282–292

    Google Scholar 

  11. T. Menzies, S. Williams, B. Boehm, J. Hihn, How to avoid drastic software process change (using stochastic stability), in Proceedings of the 31st International Conference on Software Engineering (ACM Press, New York, 2009), pp. 540–550

    Google Scholar 

  12. G. Leavens, M. Sitaraman, Foundations of Component-Based Systems (Cambridge University Press, Cambridge, 2000)

    Google Scholar 

  13. F. Dantas, Reuse vs. maintainability: revealing the impact of composition code properties, in Proceeding of the 33rd International Conference on Software Engineering (ACM Press, New York, 2011), pp. 1082–1085

    Google Scholar 

  14. E. Figueiredo, N. Cacho, C. Sant’Anna, M. Monteiro, U. Kulesza, A. Garcia, S. Soares, F. Ferrari, S. Khan, F. Filho, F. Dantas, Evolving software product lines with aspects: an empirical study on design stability, in Proceedings of the 30th International Conference on Software Engineering (ACM Press, New York, 2008), pp. 261–270

    Google Scholar 

  15. M.E. Fayad, A. Altman, An introduction to software stability. Commun. ACM 44(9), 95–98 (2001)

    Article  Google Scholar 

  16. M.E. Fayad, Accomplishing software stability. Commun. ACM 45(1), 111–115 (2001)

    Google Scholar 

  17. M.E. Fayad, S.K. Singh, Software stability model: software product line engineering overhauled, in Proceedings of the 2010 Workshop on Knowledge-Oriented Product Line Engineering (ACM Press, New York, 2010), Article 4

    Google Scholar 

  18. P.E. Xavier, E.R. Naganathan, Productivity improvement in software projects using 2-dimensional probabilistic software stability model (PSSM). ACM SIGSOFT Softw. Eng. Notes 34(5), 1–3 (2009)

    Article  Google Scholar 

  19. E.R. Naganathan, P.E. Xavier, Architecting autonomic computing systems through probabilistic software stability model (PSSM), in Proceedings of International Conference on Interaction Sciences (IEEE Computer Society Press, Washington, DC, 2009), pp. 643–648

    Google Scholar 

  20. D. Grosser, H.A. Sahraoui, P. Valtchev, Predicting software stability using case-based reasoning, in Proceedings of the 17th IEEE International Conference on Automated Software Engineering (ACM Press, New York, 2002), pp. 295–298

    Google Scholar 

  21. J. Bevan, E.J. Whitehead, Identification of software instabilities, in Proceedings of the 10th Working Conference on Reverse Engineering (IEEE Computer Society Press, Washington, DC, 2003), pp. 134–145

    Google Scholar 

  22. Z. Wang, D. Zhan, X. Xu, STCIM: a dynamic granularity oriented and stability based component identification method. ACM SIGSOFT Softw. Eng. Notes 31(3), 1–14 (2006)

    Article  Google Scholar 

  23. H.S. Hamza, Separation of concerns for evolving systems: a stability-driven approach, in Proceedings of 2005 Workshop on Modeling and Analysis of Concerns in Software (ACM Press, New York, NY, 2005), pp. 1–5

    Google Scholar 

  24. S.S. Yau, J.S. Collofello, Some stability measures for software maintenance. IEEE Trans. Softw. Eng. 6(6), 545–552 (1980)

    Article  Google Scholar 

  25. S.S. Yau, J.S. Collofello, Design stability measures for software maintenance. IEEE Trans. Softw. Eng. 11(9), 849–856 (1985)

    Article  Google Scholar 

  26. T. Nakamura, V.R. Basili, Metrics of software architecture changes based on structural distance, in Proceedings of IEEE International Software Metrics Symposium (IEEE Computer Society Press, Washington, DC, 2005), pp. 54–63

    Google Scholar 

  27. D. Kelly, A Study of design characteristics in evolving software using stability as a criterion. IEEE Trans. Softw. Eng. 32(5), 315–329 (2006)

    Article  Google Scholar 

  28. L. Yu, S. Ramaswamy, Measuring the evolutionary stability of software systems: case studies of Linux and FreeBSD. IET Softw 3(1), 26–36 (2009)

    Article  Google Scholar 

  29. L. Fortnow, Kolmogorov complexity, in Aspects of Complexity, Minicourses in Algorithmics, Complexity, and Computational Algebra (Walter De Gruyter Incorporation, 2001)

    Google Scholar 

  30. C. Bennett, P. Gacs, M. Li, P. Vitányi, W. Zurek, Information distance. IEEE Trans. Inf. Theory 44(7), 1407–1423 (1998)

    Article  MathSciNet  MATH  Google Scholar 

  31. M. Li, X. Chen, X. Li, B. Ma, P. Vitányi, The similarity metric. IEEE Trans. Inf. Theory 50(12), 3250–3264 (2004)

    Article  MathSciNet  MATH  Google Scholar 

  32. R. Cilibrasi, P. Vitányi, Clustering by compression. IEEE Trans. Inf. Theory 51(4), 1523–1545 (2005)

    Article  MathSciNet  MATH  Google Scholar 

  33. N. Tran, The normalized compression distance and image distinguishability, in Human Vision and Electronic Imaging, vol. XII (2007), 64921D

    Google Scholar 

  34. T. Arbuckle, A. Balaban, D.K. Peters, M. Lawford, Software documents: comparison and measurement, in Proceedings of the 19th International Conference on Software Engineering & Knowledge Engineering (Knowledge Systems Institute Graduate School, Skokie, 2007), pp. 740–745

    Google Scholar 

  35. T. Arbuckle, Visually summarizing software change, in Proceedings of the 12th International Conference on Information Visualisation (IEEE Computer Society Press, Washington, DC, 2008), pp. 559–568

    Google Scholar 

  36. T. Arbuckle, Measure software and its evolution using information content, in Proceedings of the Joint International and Annual ERCIM Workshops on Principles of Software Evolution and Software Evolution Workshops (ACM Press, New York, 2009), pp. 129–134

    Google Scholar 

  37. T. Arbuckle, Studying software evolution using artefacts’ shared information content. Sci. Comput. Program. 76(12), 1078–1097 (2011)

    Article  Google Scholar 

  38. T. Arbuckle, Measuring multi-language software evolution: a case study, in Proceedings of the 12th International Workshop on Principles of Software Evolution and the 7th Annual ERCIM Workshop on Software Evolution (ACM Press, New York, 2011), pp. 91–95

    Google Scholar 

  39. S.D. Eppinger, T.R. Browning, Design Structure Matrix Methods and Applications, 1st edn, vol. 1 (MIT Press, Cambridge, 2012), number 0262017520

    Google Scholar 

  40. T.R. Browning, Applying the design structure matrix to system decomposition and integration problems: a review and new directions. IEEE Trans. Eng. Manage. 48(3), 292–306

    Google Scholar 

  41. A. Thurimella, S. Ramaswamy, On adopting multi-criteria decision-making approaches for variability management in software product lines, in First International Workshop on Requirements Engineering Practices On Software Product Line Engineering, 16th International Software Product Line Conference, Salvador, Brazil, 2–7 Sept 2012

    Google Scholar 

  42. A. Engel, T.R. Browning, Designing systems for adaptability by means of architecture options. Syst. Eng. 11, 125–146 (2008). doi:10.1002/sys.20090

    Article  Google Scholar 

  43. T.B. Callo Arias, P. Spek, P. Avgeriou, A practice-driven systematic review of dependency analysis solutions. Empirical Softw. Eng. 16(5), 544–586

    Google Scholar 

  44. R.R. Yager, Intelligent control of the hierarchical agglomerative clustering process. IEEE Trans. Syst. Man Cybern. B 30, 835–845 (2000)

    Google Scholar 

  45. D. Aceituna, Do. Hyunsook, G.S. Walia, S.-W. Lee, Evaluating the use of model-based requirements verification method: a feasibility study, in Empirical Requirements Engineering (EmpiRE), 2011 First International Workshop on, 30 Aug 2011, pp. 13–20

    Google Scholar 

  46. Frequently Asked Questions. Apache Ant. N.p. (n.d.). Web. 6 Dec 2015

    Google Scholar 

  47. Apache Release History, Apache Release History. N.p. (n.d.). Web. 6 Dec 2015

    Google Scholar 

  48. A. Causevic, D. Sundmark, S. Punnekkat, An industrial survey on contemporary aspects of software testing, in Software Testing, Verification and Validation (ICST), 2010 Third International Conference on, 6–10 April 2010, pp. 393, 401. doi:10.1109/ICST.2010.52

  49. M. Venkataraman, Testing services, 29 June 2015. Retrieved 2 Aug 2015

    Google Scholar 

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Correspondence to Srini Ramaswamy .

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Threm, D., Yu, L., Sudarsan, S.D., Ramaswamy, S. (2017). mDSM: A Transformative Approach to Enterprise Software Systems Evolution. In: Mohanty, H., Mohanty, J., Balakrishnan, A. (eds) Trends in Software Testing. Springer, Singapore. https://doi.org/10.1007/978-981-10-1415-4_6

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  • DOI: https://doi.org/10.1007/978-981-10-1415-4_6

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