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Towards the Measuring Criteria of IT Project Success in University Context

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Trends and Advances in Information Systems and Technologies (WorldCIST'18 2018)

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Abstract

Commercial projects are carried out according to the rules of a certain software development approach but the academic projects do not always adhere to any formal processes. So far little attention has been paid to the same problem in academic context. By investigation of their assessment criteria in commercial context a set of metrics and measures was determined and adapted to provide a structured evaluation approach for projects developed in academic setting. Professionalizing teaching and assessment process is an attempt to close a gap between workforce’s expectations towards new graduates and the outcomes of their university education.

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References

  1. Ralph, P., Kelly, P.: The Dimensions of Software Engineering Success (2014)

    Google Scholar 

  2. Unterkalmsteiner, M., Gorschek, T., Moinul Islam, A.K.M.: Evaluation and Measurement of Software Process Improvement - A Systematic Literature Review (2011)

    Google Scholar 

  3. Dalcher, D., Benediktsson, O., Thorbergsson, H.: Development Life Cycle Management: A Multiproject Experiment (2005)

    Google Scholar 

  4. Dalcher, D.: Life Cycle Design and Management (2002)

    Google Scholar 

  5. Buse, R., Zimmermann, T.: Information needs for software development analytics. In: Proceedings of 20th International Conference on Software Engineering, pp. 987–996. IEEE Press (2012)

    Google Scholar 

  6. Macias, F., Holcombe, M., Gheorghe, M.: A Formal Experiment Comparing Extreme Programming with Traditional Software Construction (2003)

    Google Scholar 

  7. Bruegge, B., Krusche, S., Alperowitz, L.: Software Engineering Project Courses with Industrial Clients (2015)

    Article  Google Scholar 

  8. Naboulsi, Z.: Code Metrics - Cyclomatic Complexity. MSDN Ultimate Visual Studio Tips and Tricks Blog (2017)

    Google Scholar 

  9. McCabe Associates: “Integrated Quality” as part of CS699 Professional Seminar in Computer Science (1999)

    Google Scholar 

  10. Kitchenham, B., Pfleeger, S.L.: Software quality: the Elusive target. IEEE Soft. 13, 12–21 (1996)

    Article  Google Scholar 

  11. Rosenberg, L., Hammer, T.: Software metrics and reliability. NASA GSFC (1998)

    Google Scholar 

  12. Rosenberg, L., Hammer, T.: Metrics for quality assurance and risk assessment. In: Proceedings of 11th International Software Quality Week, USA (1998)

    Google Scholar 

  13. Kemerer, C.F., Chidamber, S.R.: A metrics suite for object oriented design. IEEE Trans. Soft. Eng. 20, 476–493 (1994)

    Article  Google Scholar 

  14. Olszewska, M., Heidenberg, J., Weijola, M.: Quantitatively measuring a large-scale agile transformation. J. Syst. Soft. 117, 258–273 (2016)

    Article  Google Scholar 

  15. Hoegl, M., Gemuenden, H.G.: Teamwork quality and the success of innovative projects: a theoretical concept and empirical evidence. Organ. Sci. 12, 435–449 (2001)

    Article  Google Scholar 

  16. Carron, A., Brawley, L.: Cohesion: conceptual and measurement issues. Small Group Res. 31, 89–106 (2000)

    Article  Google Scholar 

  17. Salas, E., Grossman, R.: Measuring team cohesion: observations from the science. Hum. Fact. 57, 365–374 (2015)

    Article  Google Scholar 

  18. Sommerville, I.: Software Engineering 7. Addison-Wesley, Boston (2004)

    MATH  Google Scholar 

  19. Casey-Campbell, M., Martens, M.L.: Sticking it all together: a critical assessment of the group cohesion-performance literature. Int. J. Manage. Rev. 11(2), 223–246 (2009)

    Article  Google Scholar 

  20. Wellington, C.A., Briggs, T.: Comparison of student experiences with plan-driven and agile methodologies. In: 35th ASEE/IEEE Frontiers in Education Conference (2015)

    Google Scholar 

  21. Carron, A.V., Brawley, L.R.: G.E.Q. The Group Environment Questionnaire Test Manual. Fitness Information Technology Inc. (2002)

    Google Scholar 

  22. Unterkalmsteiner, M., Gorschek, T.: Evaluation and measurement of software process improvement - a systematic literature review. IEEE Trans. Soft. Eng. 38, 398–424 (2012)

    Article  Google Scholar 

  23. Ilieva, S., Ivanov, P., Stefanova, E.: Analyses of an agile methodology implementation. In: Proceedings of 30th EUROMICRO Conference (2004)

    Google Scholar 

  24. Abrahamsson, P.: Extreme programming: first results from a controlled case study. In: Proceedings of 29th EUROMICRO Conference (2003)

    Google Scholar 

  25. Middleton, P., Taylor, P.S.: Lean principles and techniques for improving the quality and productivity of software development projects: a case study. Int. J. Prod. Qual. Manage. 2, 387–403 (2007)

    Google Scholar 

  26. Ochodek, M., Nawrocki, J.: Simplifying effort estimation based on use case points. Inf. Soft. Technol. 53, 200–213 (2011)

    Article  Google Scholar 

  27. Chillarege, R., Bhandari, I.S.: Orthogonal defect classification-a concept for in-process measurements. IEEE Trans. Soft. Eng. 18, 943–956 (1992)

    Article  Google Scholar 

  28. Butcher, M., Munro, H.: Improving software testing via ODC: three case studies. IBM Syst. J. 41, 31–44 (2002)

    Article  Google Scholar 

  29. Begel, A., Simon, B.: Struggles of new college graduates in their first software development job. In: Proceedings of 39th SIGCSE Technical Symposium on Computer Science Education (2008)

    Google Scholar 

  30. Brechner, E.: Things they would not teach me of in college: what Microsoft developers learn later. In: ACM SIGPLAN Conference on Object-Oriented Programming, Systems, Languages, and Applications (2003)

    Google Scholar 

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Correspondence to Aneta Poniszewska-Marańda .

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Włodarski, R., Poniszewska-Marańda, A. (2018). Towards the Measuring Criteria of IT Project Success in University Context. In: Rocha, Á., Adeli, H., Reis, L., Costanzo, S. (eds) Trends and Advances in Information Systems and Technologies. WorldCIST'18 2018. Advances in Intelligent Systems and Computing, vol 746. Springer, Cham. https://doi.org/10.1007/978-3-319-77712-2_136

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  • DOI: https://doi.org/10.1007/978-3-319-77712-2_136

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-77711-5

  • Online ISBN: 978-3-319-77712-2

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