Using knowledge elicitation to improve Web effort estimation: Lessons from six industrial case studies

Proceedings - International Conference on Software Engineering

Volumn , Issue , 2012, Pages 1112-1121

  Mendes, Emilia ^a  

^a ZAYED UNIVERSITY   (United Arab Emirates)

Author keywords

bayesian networks; expert based models; project management; Web software effort estimation

Indexed keywords

DOMAIN EXPERTS; EFFORT ESTIMATION; EFFORT ESTIMATION MODEL; INDUSTRIAL CASE STUDY; NEW ZEALAND;

BAYESIAN NETWORKS; INDUSTRY; PROJECT MANAGEMENT;

SOFTWARE ENGINEERING;

EID: 84864270992     PISSN: 02705257     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICSE.2012.6227108     Document Type: Conference Paper

References (25)

1. Baker, S., and Mendes, E.(2010) Aggregating Expert-driven causal maps for Web Effort Estimation, Proceedings of the International Conference on Advanced Software Engineering & Its Applications (ASEA), Volume 117, pp. 264-282.
2. Baker, S., Mendes, E. (2010) Assessing the Weighted Sum Algorithm for Automatic Generation of Probabilities in Bayesian Networks, Proceedings of the International Conference on Information and Automation 2010 (ICIA 2010), pp. 867-873, DOI: 10.1109/ICINFA.2010.5512447
3. Baker, S., Mendes, E. (2010) Evaluating the Weighted Sum Algorithm for Estimating Conditional Probabilities in Bayesian Networks, Proceedings of the Software Engineering and Knowledge Engineering Conference (SEKE 2010), pp. 319-324.
4. Das, B.: Generating Conditional Probabilities for Bayesian Networks: Easing the Knowledge Acquisition Problem, arxiv.org/pdf/cs/0411034v1 (accessed in 2008). (2004)
5. Druzdzel, M.J., and van der Gaag, L.C.: Building Probabilistic Networks: Where Do the Numbers Come From?, IEEE Trans. on Knowledge and Data Engineering, 12(4), 481-486. (2000)
6. Fenton, N., Marsh, W., Neil, M., Cates, P., Forey, S. and Tailor, M.: Making Resource Decisions for Software Projects, Proc. ICSE'04, pp. 397-406. (2004)
7. Jensen, F. V.: An introduction to Bayesian networks. UCL Press, London. (1996)
8. Mahoney, S.M., and Laskey, K.B.: Network Engineering for Complex Belief Networks, Proc. Twelfth Annual Conference on Uncertainty in Artificial Intelligence, pp. 389-396. (1996).
9. Mendes, E.: (2007)Predicting Web Development Effort Using a Bayesian Network, Proceedings of EASE'07, pp. 83-93..
10. Mendes, E.: (2007).The Use of a Bayesian Network for Web Effort Estimation, Proceedings of International Conference on Web Engineering, pp. 90-104, LNCS 4607.
11. Mendes, E.: (2007).A Comparison of Techniques for Web Effort Estimation, Proceedings of the ACM/IEEE International Symposium on Empirical Software Engineering, pp. 334-343.
12. Mendes, E.: (2008).The Use of Bayesian Networks for Web Effort Estimation: Further Investigation, Proceedings of ICWE'08, pp. 2-3-216.
13. th International Conference on Enterprise Information Systems, pp. 128-135
14. Mendes, E.: (2011) Improving Project Management of Healthcare Projects through Knowledge Elicitation, Handbook of Research on ICTs for Healthcare and Social Services: Developments and Applications, Isabel Maria Miranda & Maria Manuela Cruz-Cunha (Eds), IGI Global. (Accepted for publication)
15. Mendes, E.: (2011) Uncertainty-based software effort estimation, IFPUG book, IFPUG (Accepted for Publication).
16. Mendes, E., and Mosley, N.: (2008)Bayesian Network Models for Web Effort Prediction: a Comparative Study, Transactions on Software Engineering, Vol. 34, Issue: 6, Nov/Dec 2008, pp. 723-737..
17. Mendes, E., Mosley, N. and Counsell, S.: (2005).The Need for Web Engineering: An Introduction, Web Engineering, Springer-Verlag, Mendes, E. and Mosley, N. (Eds.) ISBN: 3-540-28196-7, pp. 1-28.
18. Mendes, E., Mosley, N., and Counsell, S.: (2005).Investigating Web Size Metrics for Early Web Cost Estimation, Journal of Systems and Software, 77(2), 157-172.
19. Mendes, E., Pollino, C., and Mosley, N.: (2009).Building an Expert-based Web Effort Estimation Model using Bayesian Networks, Proceedings of the EASE Conference, pp. 1-10.
20. Neil, M., Fenton, N., and Nielsen, L.: Building Large-scale bayesian networks, The knowledge Engineering Review, KER, Vol. 15, No. 3, 257-284. (2000).
21. Pearl J.: Probabilistic Reasoning in Intelligent Systems, Morgan Kaufmann, San Mateo, CA. (1988).
22. Pendharkar, P.C., Subramanian, G.H., and Rodger, J.A.: A Probabilistic Model for Predicting Software Development Effort, IEEE Trans. Software Eng. Vol. 31, No. 7, 615-624. (2005).
23. Studer, R., Benjamins, V.R. and Fensel, D.: Knowledge engineering: principles and methods. Data & Knowledge Engineering, vol. 25, 161-197. (1998).
24. Tang, Z., and B. McCabe: Developing Complete Conditional Probability Tables from Fractional Data for Bayesian Belief Networks, Journal of Computing in Civil Engineering, 21(4), pp. 265-276. (2007).
25. Woodberry, O., A. Nicholson, K. Korb, and C. Pollino: Parameterising Bayesian Networks, Proc. Australian Conference on Artificial Intelligence, pp. 1101-1107. (2004).