Skip to main content
SpringerLink
Log in

Identifying Quality Factors of Information Systems Integration Design

  • Conference paper
  • First Online:
Perspectives in Business Informatics Research (BIR 2017)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 295))

Included in the following conference series:

  • 783 Accesses

Abstract

The Information Systems (IS) community has long recognized the importance of studying quality at various stages of the IS design process. Many studies target the quality factors at various stages of design and development. However, research about the factors that specifically affect the quality of IS integration remains largely fragmented. Existing quality frameworks fail to cover integration-specific factors. This motivates the need for a holistic model of integration quality. The paper proposes two artefacts to address this need. It explores the literature of related domains, including systems, model, and process quality to elicit the quality factors that are relevant in the context of IS integration. The factors can be used to evaluate the quality of integration solutions during design and development. The paper also proposes a quality model to describe the quality of the design components of integration solutions following the principles of model-driven development. The model enables the quality factors to be associated with other parts of the IS integration design. The proposed factors are evaluated with the help of expert feedback using a questionnaire, and the quality model is demonstrated with an example business case.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Ardagna, D., Pernici, B.: Adaptive service composition in flexible processes. IEEE Trans. Softw. Eng. 33(6), 369–384 (2007)

    Article  Google Scholar 

  2. Batini, C., Cappiello, C., Francalanci, C., Maurino, A.: Methodologies for data quality assessment and improvement. ACM Comput. Surv. (CSUR) 41(3), 16 (2009)

    Article  Google Scholar 

  3. Bass, L., Clements, P., Kazman, R.: Understanding quality attributes. In: Software Architecture in Practice, 3rd edn. SEI Series in Software Engineering, pp. 63–78. Addison-Wesley (2013)

    Google Scholar 

  4. Bianchi, T., Santos, D.S., Felizardo, K.R.: Quality attributes of systems-of-systems: a systematic literature review. In: Proceedings of the Third International Workshop on Software Engineering for Systems-of-Systems, pp. 23–30. IEEE Press, Piscataway (2015)

    Google Scholar 

  5. Bouzeghoub, M.: A framework for analysis of data freshness. In: Proceedings of the 2004 International Workshop on Information Quality in Information Systems, pp. 59–67. ACM, New York (2004)

    Google Scholar 

  6. Camp, R.C.: Benchmarking: The Search for Industry Best Practices that Lead to Superior Performance. Quality Press, Welshpool (1989)

    Google Scholar 

  7. Capilla, R., Babar, M.A., Pastor, O.: Quality requirements engineering for systems and software architecting: methods, approaches, and tools. Requir. Eng. 17(4), 255–258 (2012)

    Article  Google Scholar 

  8. Cappiello, C., Caro, A., Rodriguez, A., Caballero, I.: An approach to design business processes addressing data quality issues. In: Proceedings of the 21st European Conference on Information Systems, paper 216 (2013)

    Google Scholar 

  9. Cardoso, J., Sheth, A., Miller, J., Arnold, J., Kochut, K.: Quality of service for workflows and web service processes. Web Semant.: Sci. Serv. Agents World Wide Web 1(3), 281–308 (2004)

    Article  Google Scholar 

  10. Chapman, C.S., Kihn, L.A.: Information system integration, enabling control and performance. Account. Organ. Soc. 34(2), 151–169 (2009)

    Article  Google Scholar 

  11. Chauhan, M.A., Babar, M.A.: Migrating service-oriented system to cloud computing: an experience report. In: IEEE International Conference on Cloud Computing (CLOUD), pp. 404–411. IEEE (2011)

    Google Scholar 

  12. Chen, D., Doumeingts, G., Vernadat, F.: Architectures for enterprise integration and interoperability: past, present and future. Comput. Ind. 59(7), 647–659 (2008)

    Article  Google Scholar 

  13. Chowanetz, M., Legner, C., Thiesse, F.: Integration: an omitted variable in information systems research. In: Proceedings of the 20th European Conference on Information Systems, paper 227 (2012)

    Google Scholar 

  14. Chung, L., Nixon, B.A., Yu, E., Mylopoulos, J.: The NFR framework in action. In: Basili, V.R. (ed.) Non-Functional Requirements in Software Engineering. International Series in Software Engineering, vol. 5, pp. 15–45. Springer, Heidelberg (2000). doi:10.1007/978-1-4615-5269-7_2

    Chapter  Google Scholar 

  15. Dustdar, S., Pichler, R., Savenkov, V., Truong, H.L.: Quality-aware service-oriented data integration: requirements, state of the art and open challenges. ACM SIGMOD Rec. 41(1), 11–19 (2012)

    Article  Google Scholar 

  16. Engelsman, W., Wieringa, R.: Understandability of goal-oriented requirements engineering concepts for enterprise architects. In: Jarke, M., Mylopoulos, J., Quix, C., Rolland, C., Manolopoulos, Y., Mouratidis, H., Horkoff, J. (eds.) CAiSE 2014. LNCS, vol. 8484, pp. 105–119. Springer, Cham (2014). doi:10.1007/978-3-319-07881-6_8

    Google Scholar 

  17. Genon, N., Heymans, P., Amyot, D.: Analysing the cognitive effectiveness of the bpmn 2.0 visual notation. In: Malloy, B., Staab, S., Brand, M. (eds.) SLE 2010. LNCS, vol. 6563, pp. 377–396. Springer, Heidelberg (2011). doi:10.1007/978-3-642-19440-5_25

    Chapter  Google Scholar 

  18. Gharib, M., Giorgini, P., Mylopoulos, J.: Analysis of information quality requirements in business processes, revisited. Requir. Eng. 1–23 (2016)

    Google Scholar 

  19. Green, P., Rosemann, M.: An ontological analysis of integrated process modelling. In: Jarke, M., Oberweis, A. (eds.) CAiSE 1999. LNCS, vol. 1626, pp. 225–240. Springer, Heidelberg (1999). doi:10.1007/3-540-48738-7_17

    Chapter  Google Scholar 

  20. Instagram Developer API. https://www.instagram.com/developer/

  21. Kaplan, R.S., Norton, D.P.: The balanced scorecard: measures that drive performance. Harv. Bus. Rev. 70(1), 71–79 (1992)

    Google Scholar 

  22. Kazman, R., Klein, M., Clements, P.: ATAM: method for architecture evaluation. Technical report, no. CMU/SEI-2000-TR-004. Software Engineering Institute, Carnegie-Mellon University, Pittsburgh, PA (2000)

    Google Scholar 

  23. Kritikos, K., Pernici, B., Plebani, P., Cappiello, C., Comuzzi, M., Benrernou, S., Brandic, I., Kertész, A., Parkin, M., Carro, M.: A survey on service quality description. ASM Comput. Surv. 46(1), Article 1 (2013)

    Article  Google Scholar 

  24. Krogstie, J.: Model-Based Development and Evolution of Information Systems: A Quality Approach. Springer, London (2012)

    Book  Google Scholar 

  25. Lam, W.: Investigating success factors in enterprise application integration: a case-driven analysis. Eur. J. Inf. Syst. 14(2), 175–187 (2005)

    Article  Google Scholar 

  26. Lemos, A.L., Daniel, F., Benatallah, B.: Web service composition: a survey of techniques and tools. ACM Comput. Surv. (CSUR) 48(3), 33 (2016)

    Google Scholar 

  27. Lindland, O.I., Sindre, G., Solvberg, A.: Understanding quality in conceptual modeling. IEEE Softw. 11(2), 42–49 (1994)

    Article  Google Scholar 

  28. Lohrmann, M., Reichert, M.: Understanding business process quality. In: Glykas, M. (ed.) Business Process Management, SCI, vol. 444, pp. 41–73. Springer, Heidelberg (2013). doi:10.1007/978-3-642-28409-0_2

    Chapter  Google Scholar 

  29. Moody, D.L., Shanks, G.G.: Improving the quality of data models: empirical validation of a quality management framework. Inf. Syst. 28(6), 619–650 (2003)

    Article  Google Scholar 

  30. Moody, D.L., Sindre, G., Brasethvik, T., Sølvberg, A.: Evaluating the quality of information models: empirical testing of a conceptual model quality framework. In: Proceedings of the 25th International Conference on Software Engineering, pp. 295–305. IEEE Computer Society, Washington (2003)

    Google Scholar 

  31. Naumann, F., Freytag, J.C., Leser, U.: Completeness of integrated information sources. Inf. Syst. 29(7), 583–615 (2004)

    Article  Google Scholar 

  32. Naumann, F., Leser, U., Freytag, J.C.: Quality-driven integration of heterogeneous information systems. In: Atkinson, M.P., Orlowska, M.E., Valduriez, P., Zdonik, S.B., Brodie, M.L. (eds.) VLDB 1999 Proceedings of the 25th International Conference on Very Large Data Bases, pp. 447–458. Morgan Kaufmann, San Francisco (1999)

    Google Scholar 

  33. Nelson, H.J., Poels, G., Genero, M., Piattini, M.: A conceptual modeling quality framework. Softw. Qual. J. 20(1), 201–228 (2012)

    Article  Google Scholar 

  34. O’Brien, L., Merson, P., Bass, L.: Quality attributes for service-oriented architectures. In: Proceedings of International Workshop on Systems Development in SOA Environments, p. 3. IEEE Computer Society, Washington (2007)

    Google Scholar 

  35. Object Management Group Inc.: OMG’s MetaObject Facility. http://www.omg.org/mof/

  36. Pautasso, C., Zimmermann, O., Leymann, F.: Restful web services vs. “big” web services: making the right architectural decision. In: Proceedings of the 17th International Conference on World Wide Web, pp. 805–814. ACM, New York (2008)

    Google Scholar 

  37. Peffers, K., Tuunanen, T., Rothernberger, M.A., Chattarjee, S.: A design science research methodology for information systems research. J. Manag. Inf. Syst. 24(3), 45–77 (2007)

    Article  Google Scholar 

  38. Petter, S., DeLone, W.H., McLean, E.R.: Information systems success: the quest for the independent variable. J. Manag. Inf. Syst. 29(4), 7–62 (2013)

    Article  Google Scholar 

  39. The Eclipse Foundation. https://eclipse.org/

  40. Twitter Developer API. https://dev.twitter.com/rest/public

  41. Vanderfeesten, I., Cardoso, J., Mendling, J., Reijers, H.A., van der Aalst, W.M.: Quality metrics for business process models. BPM Workflow Handb. 144, 179–190 (2007)

    Google Scholar 

  42. Wand, Y., Weber, R.: An ontological model of an information system. IEEE Trans. Softw. Eng. 16(11), 1282–1292 (1990)

    Article  Google Scholar 

  43. Yahia, E., Aubry, A., Panetto, H.: Formal measures for semantic interoperability assessment in cooperative enterprise information systems. Comput. Ind. 63(5), 443–457 (2012)

    Article  Google Scholar 

  44. Zeng, L., Benatallah, B., Dumas, M., Kalagnanam, J., Sheng, Q.Z.: Quality driven web services composition. In: Proceedings of the 12th International Conference on World Wide Web, pp. 411–421. ACM, New York (2003)

    Google Scholar 

  45. Zikra, I.: Implementing the unifying meta-model for enterprise modeling and model-driven development: an experience report. In: Sandkuhl, K., Seigerroth, U., Stirna, J. (eds.) PoEM 2012. LNBIP, vol. 134, pp. 172–187. Springer, Heidelberg (2012). doi:10.1007/978-3-642-34549-4_13

    Chapter  Google Scholar 

  46. Zikra, I., Stirna, J., Zdravkovic, J.: Bringing enterprise modeling closer to model-driven development. In: Johannesson, P., Krogstie, J., Opdahl, Andreas L. (eds.) PoEM 2011. LNBIP, vol. 92, pp. 268–282. Springer, Heidelberg (2011). doi:10.1007/978-3-642-24849-8_20

    Chapter  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Computer and Systems Sciences (DSV), Stockholm University, Stockholm, Sweden

    Iyad Zikra, Janis Stirna & Jelena Zdravkovic

Authors
  1. Iyad Zikra
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Janis Stirna
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Jelena Zdravkovic
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Iyad Zikra .

Editor information

Editors and Affiliations

  1. Lund University, Lund, Sweden

    Björn Johansson

  2. Aalborg University, Aalborg, Denmark

    Charles Møller

  3. Aalborg University, Copenhagen, Denmark

    Atanu Chaudhuri

  4. Aalborg University, Copenhagen, Denmark

    Frantisek Sudzina

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing AG

About this paper

Cite this paper

Zikra, I., Stirna, J., Zdravkovic, J. (2017). Identifying Quality Factors of Information Systems Integration Design. In: Johansson, B., Møller, C., Chaudhuri, A., Sudzina, F. (eds) Perspectives in Business Informatics Research. BIR 2017. Lecture Notes in Business Information Processing, vol 295. Springer, Cham. https://doi.org/10.1007/978-3-319-64930-6_4

Download citation

Publish with us

Policies and ethics

Search

Navigation