Architecture analysis of enterprise systems modifiability: A metamodel for software change cost estimation

Software Quality Journal

Volumn 18, Issue 4, 2010, Pages 437-468

  Lagerström, Robert ^a   Johnson, Pontus ^a   Ekstedt, Mathias ^a  

^a ROYAL INSTITUTE OF TECHNOLOGY   (Sweden)

Author keywords

Enterprise architecture; Metamodel; Probabilistic relational models; Software modifiability

Indexed keywords

INDUSTRY; SOFTWARE TESTING;

ARCHITECTURAL MODELING; ARCHITECTURE ANALYSIS; ENTERPRISE ARCHITECTURE; ENTITY-RELATIONSHIP MODELING; META MODEL; MODIFIABILITY; MODIFIABILITY ANALYSIS; PROBABILISTIC RELATIONAL MODELS;

COST BENEFIT ANALYSIS;

EID: 77956062351     PISSN: 09639314     EISSN: 15731367     Source Type: Journal    
DOI: 10.1007/s11219-010-9100-0     Document Type: Article

References (73)

1. Aggarwal, K., Singh, Y., & Chhabra, J. K. (2002). An integrated measure of software maintainability. In Proceedings of the annual IEEE reliability and maintainability symposium.
2. Aier, S., Buckl, S., Franke, U., Gleichauf, B., Johnson, P., Närman, P., Schweda, C., & Ullberg, J. (2009). A survival analysis of application life spans based on enterprise architecture models, enterprise modelling and information systems architectures. In Proceedings of the 3rd international workshop EMISA.
3. Allen, R. (1997). A formal approach to software architecture. PhD Thesis, Carnegie Mellon University.
4. April, A., & Abran, A. (2008). Software maintenance management. Hoboken, New Jersey: IEEE Computer Society/John Wiley & Sons.
5. Bass, L., Clements, P., & Kazman, R. (1998). Software architecture in practice. Reading, MA: Addison Wesley Longman/Software Engineering Institute.
6. Bengtsson, P. O. (2002). Architecture-level modifiability analysis. PhD Thesis, Blekinge Institute of Technology.
7. Boehm, B. (1981). Software engineering economics. Upper Saddle River: Prentice Hall.
8. Boehm, B., Abts, C., & Chulani, S. (2000). Software development cost estimation approaches-a survey. Annals of Software Engineering, 10, 177-205.
9. Brinkkemper, S. (1996). Method engineering: Engineering of information systems development methods and tools. Information and Software Technology, 38, 275-280.
10. Brinkkemper, S. (2000). Method-engineering with web-enabled methods. In Informations Systems engineering-State of the art and research themes (pp. 123-133). Berlin: Springer.
11. Chan, T., Chung, S. L., & Ho, T. H. (1996). An economic model to estimate software rewriting and replacement times. IEEE Transactions on Software Engineering, 22.
12. Chulani, S., Boehm, B., & Steece, B. (1999). Calibrating software cost models using bayesian analysis. IEEE Transactions on Software Engineering, 573-583.
13. Conte, S., Dunsmore, H., & Chen, V. (1985). Software effort estimation and productivity. New York: Academic Press Inc.
14. Department of Defense Architecture Framework Working Group. (2007). DoD architecture framework, version 1. 5. Technical Report, Department of Defense, USA.
15. Fenton, N. E., & Pfleger, S. L. (1997). Software metrics: A rigorous and practical approach. Boston, MA: PWS Publishing Company.
16. Fischer, R., Aier, S., & Winter, R. (2007). Enterprise modelling and information systems architectures. A Federated Approach to Enterprise Architecture Model Maintenance, 2, 14-22.
17. Franke, U., Flores, W. R., & Johnson, P. (2009a). Enterprise architecture dependency analysis using fault trees and bayesian networks. In Proceedings of 42nd annual simulation symposium (ANSS) (pp. 209-216), http://www. scs. org.
18. Franke, U., Höök, D., König, J., Lagerström, R., Närman, P., Ullberg, J., Gustafsson, P., & Ekstedt, M. (2009b). EAF2-a framework for categorizing enterprise architecture frameworks. In Proceedings of 10th ACIS international conference on software engineering, Artificial intelligence, Networking and Parallel/Distributed Computing (pp. 327-332).
19. Friedman, N., Getoor, L., Koller, D., & Pfeffer, A. (1999). Learning probabilistic relational models. In Proceedings of the 16th international joint conference on artificial intelligence (pp. 1300-1309).
20. Granja-Alvarez, J. C., & Barranco-Garcia, M. J. (1997). A method for estimating maintenance cost in a software project: A case study. Software Maintenance: Research and Practice, 9, 161-175.
21. Grubb, P., & Takang, A. (2003). Software maintenance: Concepts and practice. Singapore: World Scientific.
22. Gustafsson, P., Höök, D., Ericsson, E., & Lilliesköld, J. (2009). Analyzing it impacts on organizational structure. In Portland international center for management of engineering and technology Conference Proceedings.
23. Halstead, M. H. (1975). Toward a theoretical basis for estimating programming effort. In ACM 75: Proceedings of the 1975 annual conference (pp. 222-224). New York, NY, USA: ACM.
24. Harrison, W., & Cook, C. (1990). Insights on improving the maintenance process through software measurement. In Proceedings of the IEEE software maintenance Conference.
25. Höök, D., Nordström, L., & Johnson, P. (2009). An enterprise architecture based method for quantified analysis of ict system impact on maintenance management. In ICOMS asset management conference proceedings.
26. IDS Scheer. (2009). Aris business performance edition. Available on http://www. ids-scheer. com/en/ARIS, Accessed 18 June 2009.
27. IEEE Standards Board. (1990). IEEE standard glossary of software engineering technology. Technical Report, The Institute of Electrical and Electronics Engineers.
28. International Organization for Standardization. (2001). Software engineering-product quality-part 1: Quality model. International standard ISO/IEC TR 9126-1: 2001(E), International Organization for Standardization.
29. International Organization for Standardization. (2003a). Software engineering-product quality-part 2: External metrics. International standard ISO/IEC TR 9126-2: 2003(E), International Organization for Standardization.
30. International Organization for Standardization. (2003b). Software engineering-product quality-part 3: Internal metrics. International standard ISO/IEC TR 9126-3: 2003(E), International Organization for Standardization.
31. Jarzabek, S. (2007). Effective software maintenance and evolution: A reuse-based approach. Boca Raton, FL: Auerbach Publications, Taylor & Francis Group.
32. Jensen, F. (2001). Bayesian networks and decision graphs. New York, Secaucus, NJ, USA: Springer.
33. Johansson, E. (2005). Assessment of enterprise information security-How to make it credible and efficient. PhD Thesis, Royal Institute of Technology (KTH), Stockholm, Sweden.
34. Johnson, P., & Ekstedt, M. (2007). Enterprise architecture-Models and analyses for information systems decision making. Studentlitteratur.
35. Johnson, P., Lagerström, R., Närman, P., & Simonsson, M. (2007). Enterprise architecture analysis with extended influence diagrams. Information Systems Frontiers, 9.
36. Jürjens, J. (2005). Secure systems development with UML. Berlin, Heidelberg: Springer.
37. Kan, S. (2003). Metrics and models in software quality engineering (2nd ed.). London: Pearson Education.
38. Kazman, R., Asundi, J., & Klein, M. (2001). Quantifying the costs and benefits of architectural decisions. In Proceedings of the 23rd international conference on software engineering (pp. 297-306).
39. Kazman, R., Klein, M., & Clements, P. (2000). ATAM: Method for architecture evaluation.
40. König, J., & Nordström, L. (2009). Assessing impact of ict system quality on operation of active distribution grids. In IEEE PowerTech.
41. Kurpjuweit, S., & Winter, R. (2007). Viewpoint-based meta model engineering. In Enterprise modelling and information systems architectures (EMISA 2007).
42. Lagerström, R. (2007). Analyzing system maintainability using enterprise architecture models. Journal of Enterprise Architecture, 3, 33-41.
43. Lagerström, R., Chenine, M., Johnson, P., & Franke, U. (2008). Probabilistic metamodel merging. In Proceedings of the Forum at the 20th international conference on advanced information systems (Vol. 344, pp. 25-28).
44. Lagerström, R., Franke, U., Johnson, P., & Ullberg, J. (2009a). A method for creating enterprise architecture metamodels-applied to systems modifiability analysis. The International Journal of Computer Science and Applications, 6, 89-120.
45. Lagerström, R., Johnson, P., & Höök, D. (2009b). Architecture analysis of enterprise systems modifiability-models, analysis and validation. submitted to journal.
46. Lagerström, R., Johnson, P., Höök, D., & König, J. (2009c). Software change project cost estimation-a bayesian network and a method for expert elicitation. In the International Workshop on Software Quality and Maintainability Proceeding.
47. Lagerström, R., Johnson, P., & Närman, P. (2007). Extended influence diagram generation. In Interoperability for enterprise software and applications conference.
48. Lagerström, R., Saat, J., Franke, U., Aier, S., & Ekstedt, M. (2009d). Enterprise meta modeling methods-combining a stakeholder-oriented and a causality-based approach. In Enterprise, business-process and information systems modeling, Lecture Notes in Business Information Processing (Vol 29, pp. 381-393), Berlin Heidelberg: Springer. ISSN 1865-1348.
49. Laird, L., & Brennan, C. (2006). Software measurement and estimation: A practical approach. Hoboken, New Jersey: IEEE Computer Society/John Wiley & Sons.
50. Lankhorst, M. (2005). Enterprise architecture at work. Heidelberg: Springer.
51. Matinlassi, M., & Niemelä, E. (2003). The impact of maintainability on component-based software systems. In Proceedings of the 29th IEEE EUROMICRO conference "New Waves in System Architecture".
52. Matson, J., Barrett, B., & Mellichamp, J. (1994). Software development cost estimation using function points. Software Engineering, IEEE Transactions on, 20, 275-287.
53. Moløkken-Østvold, K., Haugen, N. C., & Benestad, H. C. (2008). Using planning poker for combining expert estimates in software projects. Journal of Systems and Software, 81, 2106-2117. New York, NY, USA: Elsevier Science Inc.
54. Närman, P., Johnson, P., & Nordström, L. (2007). Enterprise architecture: A framework supporting system quality analysis. In Proceedings of the international annual enterprise distributed object computing Conference.
55. Neapolitan, R. (2003). Learning bayesian networks. Upper Saddle River, NJ, USA: Prentice-Hall, Inc.
56. Oman, P., Hagemeister, J., & Ash, D. (1992). A definition and taxonomy for software maintainability. Technical Report, Software Engineering Lab.
57. Pigoski, T. (1997). Practical software maintenance. New York: John Wiley & Sons.
58. Putnam, L., & Myers, W. (2003). Five core metrics. New York: Dorset House Publishing.
59. Ross, J. W., Weill, P., & Robertson, D. (2006). Enterprise architecture as strategy: Creating a foundation for business execution. Boston, MA: Harvard Business School Press.
60. Simonsson, M. (2008). Predicting IT governance performance: A method for model-based decision making. PhD Thesis, Royal Institute of Technology (KTH), Stockholm, Sweden.
61. Smith, D. (1999). Designing maintainable software. Berlin: Springer.
62. Society of Automotive Engineers. (2009). Architecture analysis and design language (aadl) standard. Technical Report, Carnegie Mellon University.
63. Tekinerdogan, B. (2004). ASAAM: aspectual software architecture analysis method. In Proceedings of the fourth working IEEE/IFIP conference on software architecture (pp. 5-14). IEEE Computer Society.
64. Telelogic-IBM. (2009). Ibm rational system architect. Available on http://www. telelogic. com/Products/systemarchitect/, Accessed 15 June 2009.
65. The IT Governance Institute. (2007). Control objectives for information and related technology (COBIT) 4. 1. Technical Report, The IT Governance Institute.
66. The Open Group. (2009). The Open Group Architecture Framework (TOGAF)-version 9. The Open Group.
67. Troux Technologies. (2009). Troux 8. Available on http://www. troux. com, Accessed June 15, 2009.
68. Ullberg, J., Lagerström, R., & Johnson, P. (2008). A framework for service interoperability analysis using enterprise architecture models. IEEE International Conference on Services Computing.
69. Warner, R. (2008). Applied statistics-From bivariate through multivariate techniques. Beverley Hills, CA: Sage Publications Inc.
70. Winter, R., & Fischer, R. (2007). Essential layers, artifacts, and dependencies of enterprise architecture. Journal of Enterprise Architecture, 3, 7-18.
71. Zachman, J. (2009). The Zachman framework-the official concise definition. Available on http://www. zachmaninternational. com, Accessed 16 June 2009.
72. Zachman, J. A. (1987). A framework for information systems architecture. IBM Systems Journal, 26, 276-292. Riverton, NJ, USA.
73. Zuse, H. (1997). A framework of software measurement. Berlin: Walter de Gruyter.