Abstract
Software requirements prioritization is the act of ranking user’s requirements in order to plan for release phases. The essence of prioritizing requirements is to avoid breach of contract, trust or agreement during software development process. This is crucial because, not all the specified requirements could be implemented in a single release due to inadequate skilled programmers, time, budget, and schedule constraints. Major limitations of existing prioritization techniques are rank reversals, scalability, ease of use, computational complexities and accuracy among others. Consequently, an innovative model that is capable of addressing these problems is presented. To achieve our aim, synthesized weights are computed for criteria that make up requirements and functions were defined to display prioritized requirements based on the global weights of attributes across project stakeholders. An empirical case scenario is described to illustrate the adaptability processes of the proposed approach.
Access provided by Autonomous University of Puebla. Download to read the full chapter text
Chapter PDF
Similar content being viewed by others
References
Svensson, R., Gorschek, T., Regnell, B., Torkar, R., Shahrokni, A., Feldt, R., Aurum, A.: Prioritization of quality requirements: State of practice in eleven companies. In: 19th IEEE International Requirements Engineering Conference (RE), pp. 69–78 (2011)
Kassel, N.W., Malloy, B.A.: An approach to automate requirements elicitation and specification. In: Proc. of the 7th IASTED International Conference on Software Engineering and Applications, Marina Del Rey, CA, USA (2003)
Ramzan, M., Jaffar, A., Shahid, A.: Value based intelligent requirement prioritization (VIRP): expert driven fuzzy logic based prioritization technique. International Journal of Innovative Computing 7(3), 1017–1038 (2011)
Aasem, M., Ramzan, M., Jaffar, A.: Analysis and optimization of software requirements prioritization techniques. In: International Conference on Information and Emerging Technologies (ICIET), pp. 1–6. IEEE (2010)
Tonella, P., Susi, A., Palma, F.: Interactive requirements prioritization using a genetic algorithm. Information and Software Technology 55(1), 173–187 (2013)
Ahl, V.: An experimental comparison of five prioritization methods. Master’s Thesis, School of Engineering, Blekinge Institute of Technology, Ronneby, Sweden (2005)
Berander, P., Andrews, A.: Requirements prioritization. In: Engineering and managing software requirements, pp. 69–94. Springer, Heidelberg (2005)
Kobayashi, A., Maekawa, M.: Need-based requirements change management. In: Proceedings. Eighth Annual IEEE International Conference and Workshop on Engineering of Computer Based Systems, pp. 171–178. IEEE (2001)
Karlsson, J., Wohlin, C., Regnell, B.: An evaluation of methods for prioritizing software requirements. Information and Software Technology 39(14), 939–947 (1998)
Duan, C., Laurent, P., Cleland-Huang, J., Kwiatkowski, C.: Towards automated requirements prioritization and triage. Requirements Engineering 14(2), 73–89 (2009)
Karlsson, J., Ryan, K.: A cost-value approach for prioritizing requirements. IEEE Software 14, 67–74 (1997)
Bebensee, T., van de Weerd, I., Brinkkemper, S.: Binary priority list for prioritizing software requirements. In: Wieringa, R., Persson, A. (eds.) REFSQ 2010. LNCS, vol. 6182, pp. 67–78. Springer, Heidelberg (2010)
Perini, A., Susi, A., Avesani, P.: A Machine Learning Approach to Software Requirements Prioritization. IEEE Transactions on Software Engineering 39(4), 445–460 (2013)
Thakurta, R.: A framework for prioritization of quality requirements for inclusion in a software project. Software Quality Journal 21, 573–597 (2012)
Lima, D.C., Freitas, F., Campos, G., Souza, J.: A fuzzy approach to requirements prioritization. In: Cohen, M.B., Ó Cinnéide, M. (eds.) SSBSE 2011. LNCS, vol. 6956, pp. 64–69. Springer, Heidelberg (2011)
Achimugu, P., Selamat, A., Ibrahim, R., Mahrin, M.N.: An adaptive fuzzy decision matrix model for software requirements prioritization. In: Sobecki, J., Boonjing, V., Chittayasothorn, S. (eds.) Advanced Approaches to Intelligent Information and Database Systems. SCI, vol. 551, pp. 129–138. Springer, Heidelberg (2015)
Karlsson, J., Ryan, K.: A cost-value approach for prioritizing requirements. IEEE Software 14, 67–74 (1997)
Kukreja, N., Payyavula, S., Boehm, B., Padmanabhuni, S.: Value-based requirements prioritization: usage experiences. Procedia Computer Science 16, 806–813 (2012)
Kukreja, N.: Decision theoretic requirements prioritization: a two-step approach for sliding towards value realization. In: Proceedings of the 2013 International Conference on Software Engineering, pp. 1465–1467. IEEE Press (2013)
Ejnioui, A., Otero, C., Otero, L.: A simulation-based fuzzy multi-attribute decision making for prioritizing software requirements. In: Proceedings of the 1st Annual Conference on Research in Information Technology, pp. 37–42. ACM (2012)
Gaur, V., Soni, A.: An integrated approach to prioritize requirements using fuzzy decision making. IACSIT International Journal of Engineering and Technology 2(4), 320–328 (2010)
Achimugu, P., Selamat, A., Ibrahim, R., Mahrin, M.N.R.: A systematic literature review of software requirements prioritization research. Information and Software Technology 56(6), 568–585 (2014)
Chen, Y., Tzeng, G.: Using fuzzy integral for evaluating subjectively perceived travel costs in a traffic assignment model. European Journal of Operational Research 130(3), 653–664 (2001)
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
Achimugu, P., Selamat, A., Ibrahim, R. (2014). A Preference Weights Model for Prioritizing Software Requirements. In: Hwang, D., Jung, J.J., Nguyen, NT. (eds) Computational Collective Intelligence. Technologies and Applications. ICCCI 2014. Lecture Notes in Computer Science(), vol 8733. Springer, Cham. https://doi.org/10.1007/978-3-319-11289-3_4
Download citation
DOI: https://doi.org/10.1007/978-3-319-11289-3_4
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-11288-6
Online ISBN: 978-3-319-11289-3
eBook Packages: Computer ScienceComputer Science (R0)