An empirical validation of software cost estimation models
Communications of the ACM
Software engineering metrics and models
Software engineering metrics and models
Calibrating estimation tools for software development
Software Engineering Journal
On the use of software cost models
Information and Management
COBRA: a hybrid method for software cost estimation, benchmarking, and risk assessment
Proceedings of the 20th international conference on Software engineering
Bayesian Analysis of Empirical Software Engineering Cost Models
IEEE Transactions on Software Engineering
Software Engineering Economics
Software Engineering Economics
Software Cost Estimation with Cocomo II with Cdrom
Software Cost Estimation with Cocomo II with Cdrom
Measures for Excellence: Reliable Software on Time, within Budget
Measures for Excellence: Reliable Software on Time, within Budget
Cost estimation for web applications
Proceedings of the 25th International Conference on Software Engineering
Validation methods for calibrating software effort models
Proceedings of the 27th international conference on Software engineering
Research Collaborations between Academia and Industry
FOSE '07 2007 Future of Software Engineering
The size and effort estimates in iterative development
Information and Software Technology
Balancing Agility and Formalism in Software Engineering
Proceedings of the 32nd ACM/IEEE International Conference on Software Engineering - Volume 2
Empirical Software Engineering
Timesheet assistant: mining and reporting developer effort
Proceedings of the IEEE/ACM international conference on Automated software engineering
State of the practice in software effort estimation: a survey and literature review
CEE-SET'08 Proceedings of the Third IFIP TC 2 Central and East European conference on Software engineering techniques
A goal driven framework for software project data analytics
CAiSE'13 Proceedings of the 25th international conference on Advanced Information Systems Engineering
Hi-index | 0.00 |
Cost estimation is a very crucial field for software developing companies. The acceptance of an estimation technique is highly dependent on estimation accuracy. Often, this accuracy is only determined after an initial application. Possible further steps for improving the underlying estimation model typically do not influence the decision on whether to discard the technique or deploy it. In addition, most estimation techniques do not explicitly support the evolution of the underlying estimation model in an iterative manner. This increases the risk of overlooking some important cost drivers or data inconsistencies. This paper presents an enhanced process for developing a CoBRA® cost estimation model by systematically including iterative analysis and feedback cycles, and its evaluation in a software development unit of Oki Electric Industry Co., Ltd., Japan. During the model improvement cycles, estimation accuracy was improved from an initial 120% down to 14%. In addition, lessons learned with the iterative development approach are described.