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
Ralph, P., Kelly, P.: The Dimensions of Software Engineering Success (2014)
Unterkalmsteiner, M., Gorschek, T., Moinul Islam, A.K.M.: Evaluation and Measurement of Software Process Improvement - A Systematic Literature Review (2011)
Dalcher, D., Benediktsson, O., Thorbergsson, H.: Development Life Cycle Management: A Multiproject Experiment (2005)
Dalcher, D.: Life Cycle Design and Management (2002)
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)
Macias, F., Holcombe, M., Gheorghe, M.: A Formal Experiment Comparing Extreme Programming with Traditional Software Construction (2003)
Bruegge, B., Krusche, S., Alperowitz, L.: Software Engineering Project Courses with Industrial Clients (2015)
Naboulsi, Z.: Code Metrics - Cyclomatic Complexity. MSDN Ultimate Visual Studio Tips and Tricks Blog (2017)
McCabe Associates: “Integrated Quality” as part of CS699 Professional Seminar in Computer Science (1999)
Kitchenham, B., Pfleeger, S.L.: Software quality: the Elusive target. IEEE Soft. 13, 12–21 (1996)
Rosenberg, L., Hammer, T.: Software metrics and reliability. NASA GSFC (1998)
Rosenberg, L., Hammer, T.: Metrics for quality assurance and risk assessment. In: Proceedings of 11th International Software Quality Week, USA (1998)
Kemerer, C.F., Chidamber, S.R.: A metrics suite for object oriented design. IEEE Trans. Soft. Eng. 20, 476–493 (1994)
Olszewska, M., Heidenberg, J., Weijola, M.: Quantitatively measuring a large-scale agile transformation. J. Syst. Soft. 117, 258–273 (2016)
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)
Carron, A., Brawley, L.: Cohesion: conceptual and measurement issues. Small Group Res. 31, 89–106 (2000)
Salas, E., Grossman, R.: Measuring team cohesion: observations from the science. Hum. Fact. 57, 365–374 (2015)
Sommerville, I.: Software Engineering 7. Addison-Wesley, Boston (2004)
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)
Wellington, C.A., Briggs, T.: Comparison of student experiences with plan-driven and agile methodologies. In: 35th ASEE/IEEE Frontiers in Education Conference (2015)
Carron, A.V., Brawley, L.R.: G.E.Q. The Group Environment Questionnaire Test Manual. Fitness Information Technology Inc. (2002)
Unterkalmsteiner, M., Gorschek, T.: Evaluation and measurement of software process improvement - a systematic literature review. IEEE Trans. Soft. Eng. 38, 398–424 (2012)
Ilieva, S., Ivanov, P., Stefanova, E.: Analyses of an agile methodology implementation. In: Proceedings of 30th EUROMICRO Conference (2004)
Abrahamsson, P.: Extreme programming: first results from a controlled case study. In: Proceedings of 29th EUROMICRO Conference (2003)
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)
Ochodek, M., Nawrocki, J.: Simplifying effort estimation based on use case points. Inf. Soft. Technol. 53, 200–213 (2011)
Chillarege, R., Bhandari, I.S.: Orthogonal defect classification-a concept for in-process measurements. IEEE Trans. Soft. Eng. 18, 943–956 (1992)
Butcher, M., Munro, H.: Improving software testing via ODC: three case studies. IBM Syst. J. 41, 31–44 (2002)
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)
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)
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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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