The validation of a political model of information systems development cost estimating
ACM SIGCPR Computer Personnel
Why is Software Late? An Empirical Study of Reasons for Delay in Software Development
IEEE Transactions on Software Engineering
Causes of inaccurate software development cost estimates
Journal of Systems and Software
An empirical analysis of software effort estimate alterations
Journal of Systems and Software
Causality: models, reasoning, and inference
Causality: models, reasoning, and inference
An empirical study of maintenance and development estimation accuracy
Journal of Systems and Software
METRICS '99 Proceedings of the 6th International Symposium on Software Metrics
A Review of Surveys on Software Effort Estimation
ISESE '03 Proceedings of the 2003 International Symposium on Empirical Software Engineering
Realism in Assessment of Effort Estimation Uncertainty: It Matters How You Ask
IEEE Transactions on Software Engineering
Regression Models of Software Development Effort Estimation Accuracy and Bias
Empirical Software Engineering
A review of studies on expert estimation of software development effort
Journal of Systems and Software
A Comparison of Software Project Overruns-Flexible versus Sequential Development Models
IEEE Transactions on Software Engineering
Selecting Best Practices for Effort Estimation
IEEE Transactions on Software Engineering
Characteristics of software engineers with optimistic predictions
Journal of Systems and Software
Functional size measurement revisited
ACM Transactions on Software Engineering and Methodology (TOSEM)
Mining software effort data: preliminary analysis of visual studio team system data
Proceedings of the 2008 international working conference on Mining software repositories
Any other cost estimation inhibitors?
Proceedings of the Second ACM-IEEE international symposium on Empirical software engineering and measurement
Software Process and Product Measurement
Impact of Base Functional Component Types on Software Functional Size Based Effort Estimation
PROFES '08 Proceedings of the 9th international conference on Product-Focused Software Process Improvement
How to Use COSMIC Functional Size in Effort Estimation Models?
IWSM/Metrikon/Mensura '08 Proceedings of the International Conferences on Software Process and Product Measurement
Software effort estimation terminology: The tower of Babel
Information and Software Technology
The importance of the use of an estimation process
Proceedings of the 2010 ICSE Workshop on Software Development Governance
Exploring the human and organizational aspects of software cost estimation
Proceedings of the 2010 ICSE Workshop on Cooperative and Human Aspects of Software Engineering
Stable rankings for different effort models
Automated Software Engineering
Simplifying effort estimation based on Use Case Points
Information and Software Technology
Investigating intentional distortions in software cost estimation - An exploratory study
Journal of Systems and Software
ICCSA'12 Proceedings of the 12th international conference on Computational Science and Its Applications - Volume Part IV
Project cost overrun simulation in software product line development
PROFES'07 Proceedings of the 8th international conference on Product-Focused Software Process Improvement
Proceedings of the 17th International Conference on Evaluation and Assessment in Software Engineering
ACM Transactions on Software Engineering and Methodology (TOSEM)
Hi-index | 0.00 |
This study aims to improve analyses of why errors occur in software effort estimation. Within one software development company, we collected information about estimation errors through: 1) interviews with employees in different roles who are responsible for estimation, 2) estimation experience reports from 68 completed projects, and 3) statistical analysis of relations between characteristics of the 68 completed projects and estimation error. We found that the role of the respondents, the data collection approach, and the type of analysis had an important impact on the reasons given for estimation error. We found, for example, a strong tendency to perceive factors outside the respondents' own control as important reasons for inaccurate estimates. Reasons given for accurate estimates, on the other hand, typically cited factors that were within the respondents' own control and were determined by the estimators' skill or experience. This bias in types of reason means that the collection only of project managers' viewpoints will not yield balanced models of reasons for estimation error. Unfortunately, previous studies on reasons for estimation error have tended to collect information from project managers only. We recommend that software companies combine estimation error information from in-depth interviews with stakeholders in all relevant roles, estimation experience reports, and results from statistical analyses of project characteristics.