PairedComparisonAUserPerspective-CSSE.ppt

CONCLUSION Paired comparison produces more consistent estimations than ad-hoc methods and planning poker. Can be used to directly estimate effort, or to estimate LOC size for input into parametric models such as COCOMO. New version using incomplete cyclic designs reduce the number of comparison. If you are interested in the tool, please contact me. * REFERENCES [Aguaron et al. 2003] Aguaron, Juan, Moreno-Jimenez, Jose Maria, The Geometric Consistency Index: Approximated Thresholds, European Journal of Operational Research, 147 (2003), Pages 137-145. [Crawford, Williams 1985] Crawford, Gordon, Williams, Cindy, The Analysis of Subjective Judgment Matrices, Rand Corporation, 1985. [Miranda 2000] Miranda, Eduardo, An Evaluation of the Paired Comparisons Method for Software Sizing, Proceedings of the 22nd International Conference on Software Engineering, 2000. [Miranda 2001] Miranda, Eduardo, Improving Subjective Estimates Using Paired Comparison, IEEE Software, 2001. [Miranda et al. 2009] Miranda, Eduardo, Bourque, Pierre, Abran, Alain, Sizing User Stories Using Paired Comparisons, Information and Software Technology Volume 51, Issue 9, September 2009, Pages 1327-1337, Butterworth-Heinemann, 2009. [PlanningPoker] Cohn, Mike, Planning Poker, , Mountain Goat Software. [Shepperd et al. 2001] Shepperd, Martin, Cartwright, Michelle, Predicting with Sparse Data, IEEE Transactions on Software Engineering, VOL. 27, NO. 11, 2001. [Spencer 1982] Spencer, Ian, Incomplete Experimental Designs for Multidimensional Scaling, Chapter 3. In R.G. Golledge and J.N. Rayner (Eds.), Proximity and Preference: Problems in the Multidimensional Analysis of Large Data Sets, University of Minnesota Press, 1982. [Spencer 1983] Spencer, Ian, Monte Carlo Simulation Studies, Applied Psychological Measurement Vol. 7, No. 4, 1983. * PAIRED COMPARISON: A USER PERSPECTIVE Shigeru Sasao Master of Software Engineering Carnegie Mellon University AGENDA Introduction to Paired Comparison Experiment comparin