Abstract
Agile development methods are becoming increasingly important to face continuously changing requirements. Nevertheless, the adoption of such methods in industrial environments still needs to be fostered. Companies call for tools to keep under control both agility and coordination of IT teams.
In this paper, we report on an empirical case study aiming at enabling real companies migrating from Waterfall to Agile. Our research effort has been spent in introducing 11 different IT small and medium-sized enterprises to Agile, and to observe them executing projects. To have a common evaluation framework, we selected a set of 61 metrics, with the purpose of measuring the evolution towards Agile. We provide readers with empirical data on two categories of companies’ feedbacks: (i) the metrics they considered to be useful beyond the theoretical definitions; (ii) the tools they integrated with existing development environments to collect data from metrics, and evaluate quantitative improvements of Agile.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Beck, K., Beedle, M., Bennekum, A., Van, C.A., Cunningham, W., Fowler, M., Grenning, J., Highsmith, J., Hunt, A., Jeffries, R., Kern, J., Marick, B., Martin, R.C., Mellor, S., Schwaber, K., Sutherland, J., Thomas, D.: Manifesto for Agile Software Development, http://agilemanifesto.org/
Misra, S., Omorodion, M.: Survey on agile metrics and their inter-relationship with other traditional development metrics. ACM SIGSOFT Softw. Eng. Notes 36, 1 (2011)
Nguyen, V., Pham, V., Lam, V.: qEstimation: a process for estimating size and effort of software testing. In: Proceedings of the 2013 International Conference on Software and System Process, ICSSP 2013, p. 20. ACM Press, New York (2013)
Nguyen, V., Pham, V., Lam, V.: Test Case Point Analysis: An Approach to Estimating Software Testing Size, http://www-scf.usc.edu
Martin, R.C.: Agile Software Development: Principles, Patterns, and Practices. Prentice Hall PTR (2003)
Dubinsky, Y., Talby, D., Hazzan, O., Keren, A.: Agile metrics at the Israeli Air Force. In: Agile Development Conference (ADC 2005), pp. 12–19. IEEE Comput. Soc. (2005)
Triacca, L., Bolchini, D., Botturi, L., Inversini, A.: MiLE: Systematic usability evaluation for e-learning web applications. In: Proceedings of World Conference on Educational Multimedia, Hypermedia and Telecommunications, Chesapeake, VA, pp. 4398–4405 (2004)
Zhu, H., Hall, P.A.V., May, J.H.R.: Software unit test coverage and adequacy. ACM Comput. Surv. 29, 366–427 (1997)
Kunz, M., Dumke, R.R., Zenker, N.: Software Metrics for Agile Software Development, pp. 673–678 (2008)
Royce, W.: Pragmatic Quality Metrics for Evolutionary Software, TRW Space and Defence Sector, Redondo Beach, California (1990)
Khan, R.A., Mustafa, K., Ahson, S.I.: Software Quality: Concepts and Practices (2006)
Ganpati, A., Kalia, A., Singh, H.: A Comparative Study of Maintainability Index of Open Source Software. Int. J. Emerg. Technol. Adv. Eng. 2, 228–230 (2012)
A Metric Leading to Agility, http://xprogramming.com/articles/jatrtsmetric/
Royce, W.: Software Project Management: A Unified Framework (1998)
Laanti, M., Salo, O., Abrahamsson, P.: Agile methods rapidly replacing traditional methods at Nokia: A survey of opinions on agile transformation. Inf. Softw. Technol. 53, 276–290 (2011)
Ji, F., Sedano, T.: Comparing extreme programming and Waterfall project results. In: 24th IEEE-CS Conference on Software Engineering Education and Training (CSEE & T), pp. 482–486. IEEE (2011)
Hassan, A.E., Xie, T.: Mining software engineering data. In: Proceedings of the 32nd ACM/IEEE International Conference on Software Engineering, ICSE 2010, p. 503. ACM Press, New York (2010)
Williams, C., Hollingsworth, J.: Automatic mining of source code repositories to improve bug finding techniques. IEEE Trans. Softw. Eng. 31, 466–480 (2005)
Poncin, W., Serebrenik, A., Van Den Brand, M.: Process Mining Software Repositories. In: 15th European Conference on Software Maintenance and Reengineering, pp. 5–14. IEEE (2011)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this paper
Cite this paper
Capodieci, A., Mainetti, L., Manco, L. (2014). A Case Study to Enable and Monitor Real IT Companies Migrating from Waterfall to Agile. In: Murgante, B., et al. Computational Science and Its Applications – ICCSA 2014. ICCSA 2014. Lecture Notes in Computer Science, vol 8583. Springer, Cham. https://doi.org/10.1007/978-3-319-09156-3_9
Download citation
DOI: https://doi.org/10.1007/978-3-319-09156-3_9
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-09155-6
Online ISBN: 978-3-319-09156-3
eBook Packages: Computer ScienceComputer Science (R0)