Abstract
Software requirements management is an essential process to better understand, identify, derive, control and improve system requirements. Typically, requirements are unclear at the beginning and evolve over time. Uncertainties usually produce conflicts among requirements. Rough set analysis (RSA) is a promising technique of granular computing. The emphasis of this paper is on formally defining three software requirements uncertainty problems and on applying RSA to solve these problems. A systematic approach called MATARS was developed for that purpose. We use a modification of a real world software requirements specification (SRS) benchmark example to illustrate main concepts and ideas of the approach.
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
IEEE Guide to Software Requirements Specifications. IEEE Std 830-1984: Software Engineering Technical Committee of the IEEE Computer Society (1984)
Liu, X.F., Yen, J.: An Analytic Framework for Specifying and Analyzing Imprecise Requirements. In: International Conference on Software Engineering, pp. 60–69 (1996)
Pawlak, Z. (ed.): Rough Sets - Theoretical Aspects of Reasoning about Data. Kluwer Academic Publishers, Dordrecht (1991)
Komorowski, J., Polkowski, L., Skowron, A.: Rough sets: a tutorial. In: Skowron SKPaA (ed.) Rough-Fuzzy Hybridization: A New Method for Decision Making, Springer, Heidelberg (1998)
Ruhe, G.: Qualitative Analysis of Software Engineering Data Using Rough Sets. In: 4th International Workshop on Rough Sets, Fuzzy Sets and Machine Discovery (RSFD 1996), Tokyo, Japan, pp. 292–299 (1996)
Morasca, S., Ruhe, G.: A hybrid approach to analyze empirical software engineering data and its application to predict module fault-proneness in maintenance. Journal of Systems and Software 53(3), 225–237 (2000)
Chen-Jimenez, I., Kornecki, A., Zalewski, J.: Software Safety Analysis Using Rough Sets. In: Proceedings of IEEE SOUTHEASTCON 1998, pp. 15–19. IEEE Press, Los Alamitos (1998)
Jahnke, J.H., Bychkov, Y.: Reverse Engineering Software Architecture Using Rough Clusters. In: Proceeding of the 6th International Conference on Software Engineering & Knowledge Engineering (SEKE 2004), pp. 270–275 (2004)
Krishnaswamy, S., Loke, S.W., Zaslavsky, A.: Application run time estimation: a quality of service metric for web-based data mining services. In: Proceedings of the 2002 ACM symposium on Applied computing (SAC 2002), Madrid, Spain, pp. 1153–1159. ACM Press, New York (2002)
Li, Z., Ruhe, G.: Management of Tabular-based Requirements Using Rough Sets. In: Proceedings of the 4th ASERC Workshop on Quantitative and Soft Computing based Software Engineering (QSSE 2004), Banff, Alberta, Canada, pp. 29–34 (2004)
Davis, A.M. (ed.): Software Requirements: Analysis and Specification. Prentice Hall Press, Englewood Cliffs (1990)
Robinson, W.N., Pawlowski, S.D., Volkov, V.: Requirements Interaction Management. ACM Comput. Surv. 35(2), 132–190 (2003)
Li, Z.: Management of Tabular-based Requirements Using Rough Sets. University of Calgary (2005)
Gediga, G., Duentsch, I.: Maximum Consistency of Incomplete Data via Non-Invasive Imputation. Artificial Intelligence Review 19(1), 93–107 (2003)
Heninger, K., Kallander, J., Parnas, D., Shore, J.: Software Requirements for the A-7E Aircraft. Naval Research Laboratory, Washington (1978)
ROSE: Rough Sets Data Explorer, http://www-idss.cs.put.poznan.pl/rose/index.html
Grzymala-Busse, J.W.: LERS - A system for learning from examples based on rough sets. In: Slowinski, R. (ed.) Intelligent Decision Support Handbook of Applications and Advances of the Rough Sets Theory, pp. 3–18. Kluwer Academic Publishers, Dordrecht (1992)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Li, Z., Ruhe, G. (2005). Uncertainty Handling in Tabular-Based Requirements Using Rough Sets. In: Ślęzak, D., Yao, J., Peters, J.F., Ziarko, W., Hu, X. (eds) Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing. RSFDGrC 2005. Lecture Notes in Computer Science(), vol 3642. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11548706_72
Download citation
DOI: https://doi.org/10.1007/11548706_72
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28660-8
Online ISBN: 978-3-540-31824-8
eBook Packages: Computer ScienceComputer Science (R0)