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Issue No.05 - Sept.-Oct. (2012 vol.29)
pp: 47-53
Dag I.K. Sjøberg , University of Oslo
Anders Johnsen , Software Innovation
Jørgen Solberg , Software Innovation
ABSTRACT
Proponents of various processes and methods in the agile and lean communities have made many bold claims about usefulness, but those claims are rarely supported by empirical investigations. Data gathered from more than 12,000 work items collected over two years sheds light on Kanban versus Scrum.To acquire more knowledge about the performance of different agile or lean methods, scholars should conduct similar studies in different organizations in different application domains and with people of different cultures and competences.
INDEX TERMS
Computer bugs, Product life cycle management, Agile manufacturing, Productivity, Software engineering, Software management, Software measurement, management, lean, software process models, software engineering process, software engineering, process metrics, measurement, productivity
CITATION
Dag I.K. Sjøberg, Anders Johnsen, Jørgen Solberg, "Quantifying the Effect of Using Kanban versus Scrum: A Case Study", IEEE Software, vol.29, no. 5, pp. 47-53, Sept.-Oct. 2012, doi:10.1109/MS.2012.110
REFERENCES
1. T. Dybå and T. Dings⊘yr, “Empirical Studies of Agile Software Development: A Systematic Review,” Information & Software Tech., vol. 50, nos. 9–10, 2008, pp. 833–859.
2. J.E. Hannay et al., “The Effectiveness of Pair-Programming: A Meta-Analysis,” Information and Software Tech., vol. 55, no. 7, 2008, pp. 1110-1122.
3. C. Ebert and R. Dumke, Software Measurement, Springer, 2007.
4. D. Anderson, Kanban: Successful Evolutionary Change for Your Technology Business, Blue Hole Press, 2010.
5. H. Kniberg and M. Skarin, Kanban and Scrum: Making the Most of Both, InfoQ, 2009.
6. D.I.K. Sj⊘berg et al., “Quantifying the Effect of Code Smells on Maintenance Effort,” IFI Research Report 417, University of Oslo (ISBN 82-7368-381-8), 2012.
7. R. Chillarege et al., “Orthogonal Defect Classification—A Concept for In-Process Measurement,” IEEE Trans. Software Eng., vol. 18, no. 11, 1992, pp. 943–956.
8. T.K. Abdel-Hamid and S.E. Madnick, Software Project Dynamics: An Integrated Approach, Prentice Hall, 1991.