Improving Subjective Estimates Using Paired Comparisons

Authors:
Eduardo Miranda
Affiliations:
-
Venue:
IEEE Software
Year:
2001

Citing 3
Cited 8

Nine management guidelines for better cost estimating

Communications of the ACM
An evaluation of the paired comparisons method for software sizing

Proceedings of the 22nd international conference on Software engineering
A Cost-Value Approach for Prioritizing Requirements

IEEE Software

Predicting with Sparse Data

IEEE Transactions on Software Engineering - Special section on the seventh international software metrics symposium
An exploratory study of object-oriented software component size determinants and the application of regression tree forecasting models

Information and Management
Can k-NN imputation improve the performance of C4.5 with small software project data sets? A comparative evaluation

Journal of Systems and Software
Software project effort estimation with voting rules

Decision Support Systems
Sizing user stories using paired comparisons

Information and Software Technology
Churn management optimization with controllable marketing variables and associated management costs

Expert Systems with Applications: An International Journal
Designing an effective vibration-based notification interface for mobile phones

Proceedings of the 2013 conference on Computer supported cooperative work
Modeling user story completion of an agile software process

Proceedings of the 2013 International Conference on Software and System Process

Quantified Score

Hi-index	0.00

Visualization

Abstract

Despite the existence of structured methods for software sizing and effort estimation, the so-called "expert" approach seems to be the prevalent way to produce estimates in the software industry. The paired-comparisons method offers a more accurate and precise alternative to "guesstimating."