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A Meta-Model for Information Systems Quality: A Mixed Study of the Financial Sector

Published:26 September 2018Publication History
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Abstract

Information Systems Quality (ISQ) is a critical source of competitive advantages for organizations. In a scenario of increasing competition on digital services, ISQ is a competitive differentiation asset. In this regard, managing, maintaining, and evolving IT infrastructures have become a primary concern of organizations. Thus, a technical perspective on ISQ provides useful guidance to meet current challenges. The financial sector is paradigmatic, since it is a traditional business, with highly complex business-critical legacy systems, facing a tremendous change due to market and regulation drivers. We carried out a Mixed-Methods study, performing a Delphi-like study on the financial sector. We developed a specific research framework to pursue this vertical study. Data were collected in four phases starting with a high-level randomly stratified panel of 13 senior managers and then a target panel of 124 carefully selected and well-informed domain experts. We have identified and dealt with several quality factors; they were discussed in a comprehensive model inspired by the ISO 25010, 42010, and 12207 standards, corresponding to software quality, software architecture, and software process, respectively. Our results suggest that the relationship among quality, architecture, and process is a valuable technical perspective to explain the quality of an information system. Thus, we introduce and illustrate a novel meta-model, named SQuAP (Software Quality, Architecture, Process), which is intended to give a comprehensive picture of ISQ by abstracting and connecting detailed individual ISO models.

References

  1. European Banking Authority. 2017. Regulatory Technical Standards on Strong Customer Authentication and Secure Communication under PSD2, Author=European Banking Authority. Final Draft. EBA/RTS/2017/02.Google ScholarGoogle Scholar
  2. European Parliament and of the Council. 2007. Directive 2007/64/EC. Retrieved from http://eur-lex.europa.eu/legal-content/EN/TXT/?uri=CELEX:02007L0064-20091207.Google ScholarGoogle Scholar
  3. European Parliament and of the Council. 2015. Directive 2015/2366/EU. Retrieved from http://eur-lex.europa.eu/legal-content/EN/TXT/?uri=CELEX:32015L2366.Google ScholarGoogle Scholar
  4. G. Abowd, G. Bass, P. Clements, R. Kazman, and L. Northrop. 1997. Recommended Best Industrial Practice for Software Architecture Evaluation. Technical Report. Software Engineering Institute.Google ScholarGoogle Scholar
  5. A. T. M. Aerts, J. B. M. Goossenaerts, D. K. Hammer, and J. C. Wortmann. 2004. Architectures in context: On the evolution of business, application software, and ICT platform architectures. Information 8 Management 41, 6 (2004), 781--794. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. S. Aier, B. Gleichauf, and R. Winter. 2011. Understanding enterprise architecture management design -- An empirical analysis. In Proc. 10th Int. Conf. Wirtschaftsinformatik.Google ScholarGoogle Scholar
  7. A. April and F. Coallier. 1995. Q. Bell Canada, “trillium: A model for the assessment of telecom software system development and maintenance capability.” In Proc. Software Engineering Standards Sym. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. M. A. Babar, A. W. Brown, and I. Mistrík. 2013. Agile Software Architecture: Aligning Agile Processes and Software Architectures. Newnes. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. M. A. Babar, L. Zhu, and R. Jeffery. 2004. A framework for classifying and comparing software architecture evaluation methods. In Proc. Australian Software Engineering Conference. IEEE, 309--318. Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. R. D. Banker, I. Bardhan, and O. Asdemir. 2006. Understanding the impact of collaboration software on product design and development. Information Systems Research 17, 4 (2006), 352--373. Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. R. Baskerville and M. D. Myers. 2004. Special issue on action research in information systems: Making IS research relevant to practice: Foreword. MIS Quarterly 8, 3 (2004), 329--335. Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. L. Bass, P. Clemens, and R. Kazman. 2012. Software Architecture in Practice (3rd ed.). Addison-Wesley. Google ScholarGoogle ScholarDigital LibraryDigital Library
  13. L. Bass, I. Weber, and L. Zhu. 2015. DevOps: A Software Architect’s Perspective. Addison-Wesley. Google ScholarGoogle ScholarDigital LibraryDigital Library
  14. S. Bellomo, I. Gorton, and R. Kazman. 2015. Toward Agile architecture: Insights from 15 years of ATAM data. IEEE Software 32, 5 (2015), 38--45.Google ScholarGoogle ScholarDigital LibraryDigital Library
  15. P. Bengtsson, N. Lassing, J. Bosch, and H. van Vliet. 2004. Architecture-level modifiability analysis (ALMA). Journal of Systems and Software 69, 1 (2004), 129--147. Google ScholarGoogle ScholarDigital LibraryDigital Library
  16. A. Benlian and I. Haffke. 2016. Does mutuality matter? Examining the bilateral nature and effects of CEO--CIO mutual understanding. Journal of Strategic Information Systems 25, 2 (2016), 104--126. Google ScholarGoogle ScholarDigital LibraryDigital Library
  17. S. J. Berman. 2012. Digital transformation: Opportunities to create new business models. Strategy 8 Leadership 40, 2 (2012), 16--24.Google ScholarGoogle Scholar
  18. S. C. Blumenthal. 1969. Management Information Systems; A Framework for Planning and Development. Technical Report.Google ScholarGoogle Scholar
  19. B. Boehm. 1988. A spiral model of software development and enhancement. IEEE Computer 21, 5 (1988), 61--72. Google ScholarGoogle ScholarDigital LibraryDigital Library
  20. B. Boehm, C. Abts, and S. Chulani. 2000. Software development cost estimation approaches--A survey. Annals of Software Engineering 10, 1--4 (2000), 177--205. Google ScholarGoogle ScholarDigital LibraryDigital Library
  21. B. W. Boehm, J. R. Brown, and M. Lipow. 1976. Quantitative evaluation of software quality. In Proc. 2nd Int. Conf. on Software Engineering (ICSE’76). ACM/IEEE, 592--605. Google ScholarGoogle ScholarDigital LibraryDigital Library
  22. W. F. Boh and D. Yellin. 2006. Using enterprise architecture standards in managing information technology. Journal of Management Information Systems 23, 3 (2006), 163--207. Google ScholarGoogle ScholarDigital LibraryDigital Library
  23. V. Boucharas, M. van Steenbergen, S. Jansen, and S. Brinkkemper. 2010. The contribution of enterprise architecture to the achievement of organizational goals: Establishing the enterprise architecture benefits framework. Department of Information and Computing Sciences, Utrecht University, Utrecht.Google ScholarGoogle Scholar
  24. A. C. Boynton, B. Victor, and Pine J.1993. New competitive strategies: Challenges to organizations and information technology. IBM Systems Journal 32, 1 (1993), 40--64. Google ScholarGoogle ScholarDigital LibraryDigital Library
  25. J. Brancheau, B. Janz, and J. Wetherbe. 1996. Key issues in information systems management: 1994-95 SIM Delphi results. MIS Quarterly 20, 2 (1996), 225--242. Google ScholarGoogle ScholarDigital LibraryDigital Library
  26. W. Brown, R. Malveau, H. McCormick, and T. Mowbray. 1998. AntiPatterns: Refactoring Software, Architectures, and Projects in Crisis. John Wiley 8 Sons. Google ScholarGoogle ScholarDigital LibraryDigital Library
  27. G. Campbell and P. Papapetrou. 2013. SonarQube in Action. Manning Publications Co. Google ScholarGoogle ScholarDigital LibraryDigital Library
  28. P. Checkland. 1981. Systems Thinking, Systems Practice. John Wiley.Google ScholarGoogle Scholar
  29. C. Cherryholmes. 1992. Notes on pragmatism and scientific realism. Educational Researcher 21, 6 (1992), 13--17.Google ScholarGoogle ScholarCross RefCross Ref
  30. T. Chow and D. Cao. 2008. A survey study of critical success factors in Agile software projects. Journal of Systems and Software 81, 6 (2008), 961--971. Google ScholarGoogle ScholarDigital LibraryDigital Library
  31. M. B. Chrissis, M. Konrad, and S. Shrum. 2003. CMMI Guidelines for Process Integration and Product Improvement. Addison-Wesley Longman Publishing. Google ScholarGoogle ScholarDigital LibraryDigital Library
  32. C. Churchman. 1971. The Design of Inquiring Systems Basic Concepts of Systems and Organization. Basic Books.Google ScholarGoogle Scholar
  33. P. Ciancarini, D. Russo, A. Sillitti, and G. Succi. 2016. A guided tour of the legal implications of software cloning. In Proc. 38th Int. Conf. on Software Engineering (ICSE’16). ACM/IEEE, 563--572. Google ScholarGoogle ScholarDigital LibraryDigital Library
  34. P. Ciancarini, D. Russo, A. Sillitti, and G. Succi. 2016. Reverse engineering: A european IPR perspective. In Proc. 31st Annual ACM Symposium on Applied Computing (SAC’16). 1498--1503. Google ScholarGoogle ScholarDigital LibraryDigital Library
  35. J. Cleland-Huang, R. S. Hanmer, S. Supakkul, and M. Mirakhorli. 2013. The twin peaks of requirements and architecture. IEEE Software 30, 2 (2013), 24--29. Google ScholarGoogle ScholarDigital LibraryDigital Library
  36. P. Clements, R. Kazman, and M. Klein. 2002. Evaluating Software Architectures. Addison-Wesley.Google ScholarGoogle Scholar
  37. J. Creswell. 2013. Research Design: Qualitative, Quantitative, and Mixed Methods Approaches. Sage.Google ScholarGoogle Scholar
  38. J. Creswell, V. Clark, and L. Plano. 2007. Designing and Conducting Mixed Methods Research. Wiley.Google ScholarGoogle Scholar
  39. M. A. Cusumano. 2004. The Business of Software: What Every Manager, Programmer, and Entrepreneur Must Know to Thrive and Survive in Good Times and Bad. Simon and Schuster. Google ScholarGoogle ScholarDigital LibraryDigital Library
  40. J. S. David, D. Schuff, and R. St Louis. 2002. Managing your total IT cost of ownership. Communications of the ACM 45, 1 (2002), 101--106. Google ScholarGoogle ScholarDigital LibraryDigital Library
  41. C. Deephouse, T. Mukhopadhyay, D. R. Goldenson, and M. I. Kellner. 1995. Software processes and project performance. Journal of Management Information Systems 12, 3 (1995), 187--205. Google ScholarGoogle ScholarDigital LibraryDigital Library
  42. W. DeLone and E. McLean. 1992. Information systems success: The quest for the dependent variable. Information Systems Research 3, 1 (1992), 60--95. Google ScholarGoogle ScholarDigital LibraryDigital Library
  43. W. DeLone and E. McLean. 2003. The DeLone and McLean model of information systems success: A ten-year update. Journal of Management Information Systems 19, 4 (2003), 9--30. Google ScholarGoogle ScholarCross RefCross Ref
  44. J. Dewey. 1938. Logic: The Theory of Inquiry. Holt.Google ScholarGoogle Scholar
  45. G. W Dickson. 1968. Management information-decision systems: A new era ahead? Business Horizons 11, 6 (1968), 17--26.Google ScholarGoogle ScholarCross RefCross Ref
  46. L. Dobrica and E. Niemela. 2002. A survey on software architecture analysis methods. IEEE Transactions on Software Engineering 28, 7 (2002), 638--653. Google ScholarGoogle ScholarDigital LibraryDigital Library
  47. E. Doke and N. Swanson. 1995. Decision variables for selecting prototyping in information systems development: A Delphi study of MIS managers. Information 8 Management 29, 4 (1995), 173--182. Google ScholarGoogle ScholarDigital LibraryDigital Library
  48. A. Dorling. 1993. SPICE: Software process improvement and capability determination. Software Quality Journal 2, 4 (1993), 209--224.Google ScholarGoogle ScholarCross RefCross Ref
  49. K. E. Emam, W. Melo, and J.-N. Drouin. 1997. SPICE: The Theory and Practice of Software Process Improvement and Capability Determination. IEEE. Google ScholarGoogle ScholarDigital LibraryDigital Library
  50. J. Etezadi-Amoli and A. Farhoomand. 1996. A structural model of end user computing satisfaction and user performance. Information 8 Management 30, 2 (1996), 65--73. Google ScholarGoogle ScholarDigital LibraryDigital Library
  51. D. Feeny, M. Lacity, and L. Willcocks. 2005. Taking the measure of outsourcing providers. MIT Sloan Management Review 46, 3 (2005), 41.Google ScholarGoogle Scholar
  52. D. F. Feeny, B. R. Edwards, and K. M. Simpson. 1992. Understanding the CEO/CIO relationship. MIS Quarterly 16, 4 (1992), 435--448. Google ScholarGoogle ScholarDigital LibraryDigital Library
  53. D. Garlan and D. E Perry. 1995. Introduction to the special issue on software architecture. IEEE Transactions on Software Engineering 21, 4 (1995), 269--274. Google ScholarGoogle ScholarDigital LibraryDigital Library
  54. B. G. Glaser. 1978. Theoretical Sensitivity: Advances in the Methodology of Grounded Theory. Sociology Press.Google ScholarGoogle Scholar
  55. B. G. Glaser. 1992. Basics of Grounded Theory Analysis: Emergence vs Forcing. Sociology Press.Google ScholarGoogle Scholar
  56. N. Gorla and S. C. Lin. 2010. Determinants of software quality: A survey of information systems project managers. Information and Software Technology 52, 6 (2010), 602--610. Google ScholarGoogle ScholarDigital LibraryDigital Library
  57. N. Gorla, T. Somers, and B. Wong. 2010. Organizational impact of system quality, information quality, and service quality. Journal of Strategic Information Systems 19, 3 (2010), 207--228. Google ScholarGoogle ScholarDigital LibraryDigital Library
  58. E. Guba. 1981. Criteria for assessing the trustworthiness of naturalistic inquiries. Educational Communication and Technology Journal 29, 2 (1981), 75--91.Google ScholarGoogle ScholarCross RefCross Ref
  59. U. G. Gupta and R. E. Clarke. 1996. Theory and applications of the Delphi technique: A bibliography (1975--1994). Technological Forecasting and Social Change 53, 2 (1996), 185--211.Google ScholarGoogle ScholarCross RefCross Ref
  60. S. Hayne and C. Pollard. 2000. A comparative analysis of critical issues facing Canadian information systems personnel: A national and global perspective. Information 8 Management 38, 2 (2000), 73--86. Google ScholarGoogle ScholarDigital LibraryDigital Library
  61. L. A. Von Hellens. 1997. Information systems quality versus software quality a discussion from a managerial, an organisational and an engineering viewpoint. Information and Software Technology 39, 12 (1997), 801--808.Google ScholarGoogle ScholarCross RefCross Ref
  62. J. Highsmith and M. Fowler. 2001. The Agile manifesto. Software Development Magazine 9, 8 (2001), 29--30.Google ScholarGoogle Scholar
  63. R. Hirschheim and H. K Klein. 2011. Tracing the history of the information systems field. The Oxford Handbook of Management Information Systems: Critical Perspectives and New Directions, 16--61.Google ScholarGoogle Scholar
  64. W. Humphrey. 1988. Characterizing the software process: A maturity framework. IEEE Software 5, 2 (1988), 73--79. Google ScholarGoogle ScholarDigital LibraryDigital Library
  65. R. Judd. 1972. Use of Delphi methods in higher education. Technological Forecasting and Social Change 4, 2 (1972), 173--186.Google ScholarGoogle ScholarCross RefCross Ref
  66. M. Jun and S. Cai. 2001. The key determinants of internet banking service quality: A content analysis. International Journal of Bank Marketing 19, 7 (2001), 276--291.Google ScholarGoogle ScholarCross RefCross Ref
  67. H. W. Jung. 2007. Validating the external quality subcharacteristics of software products according to ISO/IEC 9126. Computer Standards 8 Interfaces 29, 6 (2007), 653--661.Google ScholarGoogle Scholar
  68. H. W. Jung, S. G. Kim, and C. S. Chung. 2004. Measuring software product quality: A survey of ISO/IEC 9126. IEEE Software 21, 5 (2004), 88--92. Google ScholarGoogle ScholarDigital LibraryDigital Library
  69. S. H. Kaisler, F. Armour, and M. Valivullah. 2005. Enterprise architecting: Critical problems. In Proc. 38th Annual Hawaii Int. Conf. on System Sciences (HICSS’05). IEEE, 224b. Google ScholarGoogle ScholarDigital LibraryDigital Library
  70. R. Kazman, L. Bass, G. Abowd, and M. Webb. 1994. SAAM: A method for analyzing the properties of software architectures. In Proc. Int. Conf. on Software Engineering (ICSE’94). ACM/IEEE, 81--90. Google ScholarGoogle ScholarDigital LibraryDigital Library
  71. P. G. W. Keen. 1987. MIS research: Current status, trends and needs. Information Systems Education: Recommendations and Implementation, R. A. Buckingham, R. A. Hirschheim, F. F. Land, and C. J. Tully (Eds.). Cambridge University Press, Cambridge, England, 1--13.Google ScholarGoogle Scholar
  72. Ravi Khadka, Belfrit V. Batlajery, Amir M. Saeidi, Slinger Jansen, and Jurriaan Hage. 2014. How do professionals perceive legacy systems and software modernization?. In Proc. of the 36th Int. Conf. on Software Engineering. ACM/IEEE, 36--47. Google ScholarGoogle ScholarDigital LibraryDigital Library
  73. M. Krafft, K. Stol, and B. Fitzgerald. 2016. How do free/open source developers pick their tools?: A Delphi study of the Debian project. In Proc. 38th Int. Conf. on Software Engineering (ICSE’16). ACM/IEEE, 232--241. Google ScholarGoogle ScholarDigital LibraryDigital Library
  74. V. Krotov. 2015. Bridging the CIO-CEO gap: It takes two to tango. Business Horizons 58, 3 (2015), 275--283.Google ScholarGoogle ScholarCross RefCross Ref
  75. M. Lange, J. Mendling, and J. Recker. 2016. An empirical analysis of the factors and measures of enterprise architecture management success. European Journal of Information Systems 25, 5 (2016), 411--431.Google ScholarGoogle ScholarCross RefCross Ref
  76. B. Langefors. 1973. Theoretical Analysis of Information Systems. Technical Report.Google ScholarGoogle Scholar
  77. P. Lavrakas. 2008. Encyclopedia of Survey Research Methods. Sage.Google ScholarGoogle Scholar
  78. Z. Li, P. Liang, and P. Avgeriou. 2015. Architectural technical debt identification based on architecture decisions and change scenarios. In Proc. 12th Work. Int. Conf on Software Architecture (WICSA’15). IEEE, 65--74. Google ScholarGoogle ScholarDigital LibraryDigital Library
  79. J. Luftman and H. S. Zadeh. 2011. Key information technology and management issues 2010--11: An international study. Journal of Information Technology 26, 3 (2011), 193--204.Google ScholarGoogle ScholarCross RefCross Ref
  80. G. H. Mead. 1913. The social self. Journal of Philosophy, Psychology and Scientific Methods 10, 14 (1913), 374--380.Google ScholarGoogle ScholarCross RefCross Ref
  81. N. Medvidovic and R. N. Taylor. 2010. Software architecture: Foundations, theory, and practice. In Proc. Int. Conf. Software Engineering (ICSE’10). ACM/IEEE, 471--472. Google ScholarGoogle ScholarDigital LibraryDigital Library
  82. meta. 2013. Oxford Dictionary of English (3rd ed.). Oxford University Press.Google ScholarGoogle ScholarDigital LibraryDigital Library
  83. metamodel. 2013. Oxford Dictionary of English (3rd ed.). Oxford University Press. Google ScholarGoogle ScholarDigital LibraryDigital Library
  84. J. Miller and B. A Doyle. 1987. Measuring the effectiveness of computer-based information systems in the financial services sector. MIS Quarterly 11, 1 (1987), 107--124. Google ScholarGoogle ScholarDigital LibraryDigital Library
  85. I. Mistrik, R. Bahsoon, P. Eeles, R. Roshandel, and M. Stal. 2014. Relating System Quality and Software Architecture. Morgan Kaufmann. Google ScholarGoogle ScholarDigital LibraryDigital Library
  86. S. N. Mohanty. 1979. Models and measurements for quality assessment of software. Computing Surveys 11, 3 (1979), 251--275. Google ScholarGoogle ScholarDigital LibraryDigital Library
  87. D. Moody. 2005. Theoretical and practical issues in evaluating the quality of conceptual models: Current state and future directions. Data 8 Knowledge Engineering 55, 3 (2005), 243--276. Google ScholarGoogle ScholarDigital LibraryDigital Library
  88. K. Mordal-Manet, F. Balmas, S. Denier, S. Ducasse, H. Wertz, J. Laval, F. Bellingard, and P. Vaillergues. 2009. The Squale model--A practice-based industrial quality model. In Proc. Int. Conf. on Software Maintenance (ICSM’09). IEEE, 531--534.Google ScholarGoogle Scholar
  89. C. Moustakas. 1994. Phenomenological Research Methods. Sage.Google ScholarGoogle Scholar
  90. P. Mulligan. 2002. Specification of a capability-based IT classification framework. Information 8 Management 39, 8 (2002), 647--658. Google ScholarGoogle ScholarDigital LibraryDigital Library
  91. E. Mumford. 1974. Computer systems and work design: Problems of philosophy and vision. Personnel Review 3, 2 (1974), 40--49.Google ScholarGoogle ScholarCross RefCross Ref
  92. R. R. Nelson and S. G. Winter. 2009. An Evolutionary Theory of Economic Change. Harvard University Press.Google ScholarGoogle Scholar
  93. S. Nidumolu. 1995. The effect of coordination and uncertainty on software project performance: Residual performance risk as an intervening variable. Information Systems Research 6, 3 (1995), 191--219. Google ScholarGoogle ScholarDigital LibraryDigital Library
  94. S. Nidumolu and G. W. Knotts. 1998. The effects of customizability and reusability on perceived process and competitive performance of software firms. MIS Quarterly 22, 2 (1998), 105--137. Google ScholarGoogle ScholarDigital LibraryDigital Library
  95. S. Nidumolu and M. Subramani. 2003. The matrix of control: Combining process and structure approaches to managing software development. Journal of Management Information Systems 20, 3 (2003), 159--196. Google ScholarGoogle ScholarDigital LibraryDigital Library
  96. B. Nuseibeh. 2001. Weaving together requirements and architectures. IEEE Computer 34, 3 (2001), 115--119. Google ScholarGoogle ScholarDigital LibraryDigital Library
  97. C. Okoli and S. Pawlowski. 2004. The Delphi method as a research tool: An example, design considerations and applications. Information 8 Management 42, 1 (2004), 15--29. Google ScholarGoogle ScholarDigital LibraryDigital Library
  98. R. Parthasarthy and S. Sethi. 1992. The impact of flexible automation on business strategy and organizational structure. Academy of Management Review 17, 1 (1992), 86--111.Google ScholarGoogle ScholarCross RefCross Ref
  99. M. C. Paulk, B. Curtis, M. B. Chrissis, and C. V. Weber. 1993. Capability maturity model, version 1.1. IEEE Software 10, 4 (1993), 18--27. Google ScholarGoogle ScholarDigital LibraryDigital Library
  100. C. S. Peirce. 1905. The architectonic construction of pragmatism. Collected Papers of Charles Sanders Pierce 5 (1905), 3--6.Google ScholarGoogle Scholar
  101. J. Peppard and J. Ward. 2016. The Strategic Management of Information Systems: Building a Digital Strategy. Wiley.Google ScholarGoogle Scholar
  102. S. Petter, W. DeLone, and E. McLean. 2008. Measuring information systems success: Models, dimensions, measures, and interrelationships. European Journal of Information Systems 17, 3 (2008), 236--263.Google ScholarGoogle ScholarCross RefCross Ref
  103. L. Pitt, R. Watson, and B. Kavan. 1995. Service quality: A measure of information systems effectiveness. MIS Quarterly 19, 2 (1995), 173--187. Google ScholarGoogle ScholarDigital LibraryDigital Library
  104. M. E. Porter and V. E. Millar. 1985. How information gives you competitive advantage. Harvard Business Review 63, 4 (1985), 149--160.Google ScholarGoogle Scholar
  105. T. C. Powell and A. Dent-Micallef. 1997. Information technology as competitive advantage: The role of human, business, and technology resources. Strategic Management Journal 18, 5 (1997), 375--405.Google ScholarGoogle ScholarCross RefCross Ref
  106. C. K. Prahalad and M. S. Krishnan. 1998. The new meaning of quality in the information age. Harvard Business Review 77, 5 (1998), 109--18.Google ScholarGoogle Scholar
  107. R. Pressman. 2014. Software Engineering: A Practitioner’s Approach. McGrawHill. Google ScholarGoogle ScholarDigital LibraryDigital Library
  108. Pilar Rodríguez, Alireza Haghighatkhah, Lucy Ellen Lwakatare, Susanna Teppola, Tanja Suomalainen, Juho Eskeli, Teemu Karvonen, Pasi Kuvaja, June M. Verner, and Markku Oivo. 2017. Continuous deployment of software intensive products and services: A systematic mapping study. Journal of Systems and Software 123 (2017), 263--291.Google ScholarGoogle ScholarCross RefCross Ref
  109. K. Rostami, R. Heinrich, A. Busch, and R. Reussner. 2017. Architecture-based change impact analysis in information systems and business processes. In Proc. Int. Conf. on Software Architecture (ICSA’17). IEEE, 179--188.Google ScholarGoogle Scholar
  110. K. Rostami, J. Stammel, R. Heinrich, and R. Reussner. 2015. Architecture-based assessment and planning of change requests. In Proc. 11th Int. Conf. on Quality of Software Architectures (QoSA’15). ACM, 21--30. Google ScholarGoogle ScholarDigital LibraryDigital Library
  111. W. Royce. 1987. Managing the development of large software systems: Concepts and techniques. In Proc. Int. Conf. Software Engineering (ICSE’87). ACM/IEEE, 328--338. Google ScholarGoogle ScholarDigital LibraryDigital Library
  112. D. Russo, P. Ciancarini, T. Falasconi, and M. Tomasi. 2017. Software quality concerns in the italian bank sector: The emergence of a meta-quality dimension. In Proc. 39th Int. Conf. on Software Engineering (ICSE’17). ACM/IEEE, 63--72. Google ScholarGoogle ScholarDigital LibraryDigital Library
  113. C. Schmidt and P. Buxmann. 2011. Outcomes and success factors of enterprise IT architecture management: Empirical insight from the international financial services industry. European Journal of Information Systems 20, 2 (2011), 168--185.Google ScholarGoogle ScholarCross RefCross Ref
  114. R. Schmidt. 1997. Managing Delphi surveys using nonparametric statistical techniques. Decision Sciences 28, 3 (1997), 763--774.Google ScholarGoogle ScholarCross RefCross Ref
  115. R. Schmidt, K. Lyytinen, M. Keil, and P. Cule. 2001. Identifying software project risks: An international Delphi study. Journal of Management Information Systems 17, 4 (2001), 5--36. Google ScholarGoogle ScholarDigital LibraryDigital Library
  116. M. Shaw and D. Garlan. 1996. Software Architecture: Perspectives on an Emerging Discipline. Prentice Hall Englewood Cliffs. Google ScholarGoogle ScholarDigital LibraryDigital Library
  117. R. Singh. 1996. International standard ISO/IEC 12207 software life cycle processes. Software Process Improvement and Practice 2, 1 (1996), 35--50.Google ScholarGoogle ScholarCross RefCross Ref
  118. B. Slife and R. Williams. 1995. What’s Behind the Research?: Discovering Hidden Assumptions in the Behavioral Sciences. Sage.Google ScholarGoogle Scholar
  119. Deloitte Italy S.p.A. 2016. Payments Service Directive 2 (PSD2): Il Nostro Approccio. Technical Report. Deloitte Consulting.Google ScholarGoogle Scholar
  120. A. Strauss and J. M Corbin. 1997. Grounded Theory in Practice. Sage.Google ScholarGoogle Scholar
  121. T. Sunazuka, M. Azuma, and N. Yamagishi. 1985. Software quality assessment technology. In Proc. 8th Int. Conf. on Software Engineering (ICSE’85). ACM/IEEE, 142--148. Google ScholarGoogle ScholarDigital LibraryDigital Library
  122. CMMI Product Team. 2002. Capability maturity model® integration (CMMI), version 1.1--Continuous representation.Google ScholarGoogle Scholar
  123. D. Teichroew. 1972. A survey of languages for stating requirements for computer-based information systems. In Proc. Fall Joint Computer Conference. ACM, 1203--1224. Google ScholarGoogle ScholarDigital LibraryDigital Library
  124. J. Tian. 2004. Quality-evaluation models and measurements. IEEE Software 21, 3 (2004), 84--91. Google ScholarGoogle ScholarDigital LibraryDigital Library
  125. M. Unterkalmsteiner, T. Gorschek, A. Islam, C. Cheng, R. Permadi, and R. Feldt. 2012. Evaluation and measurement of software process improvement--A systematic literature review. IEEE Transactions on Software Engineering 38, 2 (2012), 398--424. Google ScholarGoogle ScholarDigital LibraryDigital Library
  126. N. Venkatraman. 1994. IT-enabled business transformation: From automation to business scope redefinition. Sloan Management Review 35, 2 (1994), 73.Google ScholarGoogle Scholar
  127. Stefan Wagner, Klaus Lochmann, Lars Heinemann, Michael Kläs, Adam Trendowicz, Reinhold Plösch, Andreas Seidl, Andreas Goeb, and Jonathan Streit. 2012. The Quamoco product quality modelling and assessment approach. In Proc. 34th Int. Conf. on Software Engineering (ICSE’12). ACM/IEEE, 1133--1142. Google ScholarGoogle ScholarDigital LibraryDigital Library
  128. Stefan Wagner, Andreas Goeb, Lars Heinemann, Michael Kläs, Constanza Lampasona, Klaus Lochmann, Alois Mayr, Reinhold Plösch, Andreas Seidl, Jonathan Streit, and others. 2015. Operationalised product quality models and assessment: The Quamoco approach. Information and Software Technology 62 (2015), 101--123. Google ScholarGoogle ScholarDigital LibraryDigital Library
  129. S. Wagner and F. Deissenboeck. 2007. An integrated approach to quality modelling. In Proc. 5th Int. Workshop on Software Quality. IEEE Computer Society, 1--6. Google ScholarGoogle ScholarDigital LibraryDigital Library
  130. R. Winter, C. Legner, and K. Fischbach. 2014. Introduction to the special issue on enterprise architecture management. Information Systems and e-Business Management 12, 1 (2014), 1--4. Google ScholarGoogle ScholarDigital LibraryDigital Library
  131. B. Wixom and H. Watson. 2001. An empirical investigation of the factors affecting data warehousing success. MIS Quarterly 25, 1 (2001), 17--41. Google ScholarGoogle ScholarDigital LibraryDigital Library
  132. B. H. Wixom and P. A. Todd. 2005. A theoretical integration of user satisfaction and technology acceptance. Information Systems Research 16, 1 (2005), 85--102. Google ScholarGoogle ScholarDigital LibraryDigital Library
  133. C. Wohlin, P. Runeson, M. Höst, M. Ohlsson, B. Regnell, and A. Wesslén. 2012. Experimentation in Software Engineering. Springer Science 8 Business Media. Google ScholarGoogle ScholarDigital LibraryDigital Library
  134. C. Yang, P. Liang, and P. Avgeriou. 2016. A systematic mapping study on the combination of software architecture and Agile development. Journal of Systems and Software 111 (2016), 157--184. Google ScholarGoogle ScholarDigital LibraryDigital Library

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          cover image ACM Transactions on Management Information Systems
          ACM Transactions on Management Information Systems  Volume 9, Issue 3
          Research Commentary and Regular Papers
          September 2018
          106 pages
          ISSN:2158-656X
          EISSN:2158-6578
          DOI:10.1145/3281626
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          Publication History

          • Published: 26 September 2018
          • Revised: 1 May 2018
          • Accepted: 1 May 2018
          • Received: 1 May 2017
          Published in tmis Volume 9, Issue 3

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