Abstract
A lot of requirements are discarded throughout the product development process. However, resources are invested on them regardless of their fate. If it would exist a model that predicts reliably and early enough whether a requirement will be deployed or not, the overall process would be more cost-effective and the software system itself more qualitative, since effort would be channeled efficiently. In this work we try to build such a predictive model through modelling the lifecycle of each requirement based on its history, and capturing the underlying dynamics of its evolution. We employ a simple classification model, using logistic regression algorithm, with features coming from an engineering understanding of the problem and patterns observed on the data. We verify the model on more than 80,000 logs for a development process of over 10 years in an Italian Aeronautical Company. The results are encouraging, so we plan to extend our study on one side collecting more experimental data and, on the other, employing more refined modeling techniques, like those coming from data mining and fuzzy logic.
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References
Harker, S.D.P., Eason, K.D., Dobson, J.E.: The change and evolution of requirements as a challenge to the practice of software engineering. In: Proceedings of 1st ICRE, pp. 266–272 (1993)
McGee, S., Greer, D.: Towards an understanding of the causes and effects of software requirements change: two case studies. Requir. Eng. 17(2), 133–155 (2012)
Succi, G., Pedrycz, W., Stefanovic, M., Russo, B.: An investigation on the occurrence of service requests in commercial software applications. Empirical Softw. Eng. 8(2), 197–215 (2003)
Boehm, B., Abts, C., Chulani, S.: Software development cost estimation approaches—a survey. Ann. Softw. Eng. 10, 177–205 (2000)
Pendharkar, P., Subramanian, G., Rodger, J.: A probabilistic model for predicting software development effort. IEEE Trans. Softw. Eng. 31(7) 2005
Yu, E.S.K.: Towards modelling and reasoning support for early-phase requirements engineering. In: Proceedings of 3rd IEEE International Symposium on Requirements Engineering, pp. 226–235, 6–10 Jan 1997
Le Minh, S., Massacci, F.: Dealing with known unknowns: towards a game-theoretic foundation for software requirement evolution. In: Proceedings of 23rd International Conference: Advanced Information Systems Engineering (CAiSE 2011). London, UK, 20–24 June 2011
Nurmuliani, N., Zowghi, D., Fowell, S.: Analysis of requirements volatility during software development lifecycle. In: Proceedings of ASWEC, pp. 28–37 (2004)
Loconsole, A., Borstler, J.: Construction and Validation of Prediction Models for Number of Changes to Requirements, Technical Report, UMINF 07.03, Feb. 2007
Shi, L., Wang, Q., Li, M.: Learning from evolution history to predict future requirement changes. In: Proceedings of RE 2013, pp. 135–144
Ernst, N., Mylopoulos, J., Wang,Y.: Requirements Evolution and What (Research) to Do about It. Lecture Notes in Business Information Processing, vol. 14, pp. 186–214 (2009)
Russo, A., Rodrigues, O., d’Avila Garcez, A.: Reasoning about Requirements Evolution using Clustered Belief Revision. Lecture Notes in Computer Science, vol. 3171, pp. 41–51 (2004)
Saito, S.; Iimura, Y., Takahashi, K., Massey, A., Anton, A.: Tracking requirements evolution by using issue tickets: a case study of a document management and approval system. In: Proceedings of 36th International Conference on Software Engineering, pp. 245–254 (2014)
Anderson, S.; Felici, M.: Controlling requirements evolution: an avionics case study. In: Proceedings of 19th SAFECOMP, pp. 361–370 (2000)
Anderson, S.; Felici, M.: Requirements evolution from process to product oriented management. In: Proceedings of 3rd PROFES, pp. 27–41 (2001)
Anderson, S.; Felici, M.: Quantitative aspects of requirements evolution. In: 26th Annual International Computer Software and Application Conference, COMPSAC 2002, pp. 27–32, 26–29 Aug 2002
Clarkson, J., Simons, C., Eckert, C.: Predicting change propagation in complex design. In: Proceedings of DETC’01, ASME 2001 Design Engineering Technical Conferences and Computers and Information in Engineering Conference. Pittsburgh, Pennsylvania, 9–12 Sept 2001
Javed, T., Maqsood, M., Durrani, Q.S.: A study to investigate the impact of requirements instability on software defects. ACM SIGSOFT Softw. Eng. Notes 29(3), 1–7 (2004)
Bush, D., Finkelstein, A.: Requirements stability assessment using scenarios. In: Proceedings of 11th ICRE, pp. 23–32 (2003)
Yaser, S.A.M, Malik, M.I., Hsuan-Tien, L.: Learning from data. http://www.amlbook.com/support.html
Acknowledgments
The research presented in this paper has been partially funded by Innopolis University and by the ARTEMIS project EMC2 (621429).
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Pedrycz, W., Iljazi, J., Sillitti, A., Succi, G. (2016). Prediction of the Successful Completion of Requirements in Software Development—An Initial Study. In: Jezic, G., Chen-Burger, YH., Howlett, R., Jain, L. (eds) Agent and Multi-Agent Systems: Technology and Applications. Smart Innovation, Systems and Technologies, vol 58. Springer, Cham. https://doi.org/10.1007/978-3-319-39883-9_21
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DOI: https://doi.org/10.1007/978-3-319-39883-9_21
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