The Dynamics of Software Project Staffing: A System Dynamics Based Simulation Approach
IEEE Transactions on Software Engineering
Software project dynamics: an integrated approach
Software project dynamics: an integrated approach
A Model for Software Development Effort and Cost Estimation
IEEE Transactions on Software Engineering
IEEE Transactions on Software Engineering
Assessing Staffing Needs for a Software Maintenance Project through Queuing Simulation
IEEE Transactions on Software Engineering
ICSM '05 Proceedings of the 21st IEEE International Conference on Software Maintenance
Information and Software Technology
Software project management with GAs
Information Sciences: an International Journal
Cross versus Within-Company Cost Estimation Studies: A Systematic Review
IEEE Transactions on Software Engineering
A General Empirical Solution to the Macro Software Sizing and Estimating Problem
IEEE Transactions on Software Engineering
IEEE Transactions on Software Engineering
An empirical study of the impact of team size on software development effort
Information Technology and Management
An approach to optimizing software development team size
Information Processing Letters
Proceedings of the 11th Annual conference on Genetic and evolutionary computation
Curve fitting for a model of applied research and development scheduling
IBM Journal of Research and Development
Multiobjective evolutionary algorithm for software project portfolio optimization
Proceedings of the 12th annual conference on Genetic and evolutionary computation
Software project portfolio optimization with advanced multiobjective evolutionary algorithms
Applied Soft Computing
Software—Practice & Experience
Using multi-objective metaheuristics to solve the software project scheduling problem
Proceedings of the 13th annual conference on Genetic and evolutionary computation
Economies and diseconomies of scale in software development
Journal of Software Maintenance and Evolution: Research and Practice
A model of the software development process
Journal of Systems and Software
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The size of software project teams has been considered to be a driver of project productivity. Although there is a large literature on this, new publicly available software repositories allow us to empirically perform further research. In this paper we analyse the relationships between productivity, team size and other project variables using the International Software Benchmarking Standards Group (ISBSG) repository. To do so, we apply statistical approaches to a preprocessed subset of the ISBSG repository to facilitate the study. The results show some expected correlations between productivity, effort and time as well as corroborating some other beliefs concerning team size and productivity. In addition, this study concludes that in order to apply statistical or data mining techniques to these type of repositories extensive preprocessing of the data needs to be performed due to ambiguities, wrongly recorded values, missing values, unbalanced datasets, etc. Such preprocessing is a difficult and error prone activity that would need further guidance and information that is not always provided in the repository.