Software project development cost estimation
Journal of Systems and Software
Software engineering metrics and models
Software engineering metrics and models
An empirical validation of software cost estimation models
Communications of the ACM
Calibrating a software cost estimation model: why and how
Information and Software Technology
On the portability of quantitative software estimation models
Information and Management
Evaluation of current software costing tools
ACM SIGSOFT Software Engineering Notes
Understanding and Controlling Software Costs
IEEE Transactions on Software Engineering
Scale Economies in New Software Development
IEEE Transactions on Software Engineering
Function Points in the Estimation and Evaluation of the Software Process
IEEE Transactions on Software Engineering
Are software cost-estimation models accurate
Information and Software Technology
Reformulating and calibrating COCOMO
Journal of Systems and Software
Why is Software Late? An Empirical Study of Reasons for Delay in Software Development
IEEE Transactions on Software Engineering
On the use of software cost models
Information and Management
Reliability of function points measurement: a field experiment
Communications of the ACM
Dimensionality reduction in software development effort estimation
Journal of Systems and Software
Application of cost-estimation techniques: industrial perspective
Information and Software Technology
Machine Learning Approaches to Estimating Software Development Effort
IEEE Transactions on Software Engineering
Effort estimation using analogy
Proceedings of the 18th international conference on Software engineering
COCOMO evaluation and tailoring
ICSE '85 Proceedings of the 8th international conference on Software engineering
Cost-Benefit Analysis in Information Systems Development and Operation
ACM Computing Surveys (CSUR)
Software Engineering Economics
Software Engineering Economics
Elements of Software Science (Operating and programming systems series)
Elements of Software Science (Operating and programming systems series)
A Comparison of Function Point Counting Techniques
IEEE Transactions on Software Engineering
IEEE Transactions on Software Engineering
Software Development Cost Estimation Using Function Points
IEEE Transactions on Software Engineering
An algorithm for sizing software products
ACM SIGMETRICS Performance Evaluation Review
Measuring Effort Estimation Uncertainty to Improve Client Confidence
Software Quality Control
Learning How to Improve Effort Estimation in Small Software Development Companies
COMPSAC '00 24th International Computer Software and Applications Conference
IT measurement
A framework for the analysis of software cost estimation accuracy
Proceedings of the 2006 ACM/IEEE international symposium on Empirical software engineering
Factors affecting duration and effort estimation errors in software development projects
Information and Software Technology
Any other cost estimation inhibitors?
Proceedings of the Second ACM-IEEE international symposium on Empirical software engineering and measurement
COCOMO-U: an extension of COCOMO II for cost estimation with uncertainty
SPW/ProSim'06 Proceedings of the 2006 international conference on Software Process Simulation and Modeling
Investigating intentional distortions in software cost estimation - An exploratory study
Journal of Systems and Software
A review of studies on expert estimation of software development effort
Journal of Systems and Software
Churn management optimization with controllable marketing variables and associated management costs
Expert Systems with Applications: An International Journal
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Software cost estimating is an important concern for software managers and other software professionals. The hypothesized model in this research suggests that an organization's use of an estimate influences its estimating practices which influence both the basis of the estimating process and the accuracy of the estimate. The model also suggests that the estimating basis directly influences the accuracy of the estimate. A study of business information systems managers and professionals at 112 different organizations using causal analysis with Equations Modeling System (EQS) refined the model. The refined model shows that no managerial practice in this study discourages the use of intuition, guessing, and personal memory in cost estimating. Although user commitment and accountability appear to foster algorithm-based estimating, such an algorithmic basis does not portend greater accuracy. Only one managerial practice驴the use of the estimate in performance evaluations of software managers and professionals驴presages greater accuracy. By implication, the research suggests somewhat ironically that the most effective approach to improve estimating accuracy may be to make estimators, developers, and managers more accountable for the estimate even though it may be impossible to direct them explicitly on how to produce a more accurate one.