Scale Economies in New Software Development
IEEE Transactions on Software Engineering
Learning and adaption in distributed artificial intelligence
Distributed artificial intelligence: vol. 2
Evaluating research in cooperative distributed problem solving
Distributed artificial intelligence: vol. 2
Journal of Systems and Software
A model for measuring information system size
MIS Quarterly
Software project dynamics: an integrated approach
Software project dynamics: an integrated approach
Recent advances in software estimation techniques
ICSE '92 Proceedings of the 14th international conference on Software engineering
Evaluating Alternative Software Production Functions
IEEE Transactions on Software Engineering
A field study of scale economies in software maintenance
Management Science - Special issue: Frontier research on information systems and economics
Validating the ISO/IEC 15504 Measure of Software Requirements Analysis Process Capability
IEEE Transactions on Software Engineering
IEEE Transactions on Software Engineering
IEEE Transactions on Software Engineering - Special section on the seventh international software metrics symposium
Software development cost estimation approaches – A survey
Annals of Software Engineering
Comments on: Evaluating Alternative Software Production Functions
IEEE Transactions on Software Engineering
Adaptation and Learning in Multi-Agent Systems: Some Remarks and a Bibliography
IJCAI '95 Proceedings of the Workshop on Adaption and Learning in Multi-Agent Systems
Organizational building blocks for design of distributed intelligent system
International Journal of Human-Computer Studies
A Probabilistic Model for Predicting Software Development Effort
IEEE Transactions on Software Engineering
Journal of Management Information Systems
JADE: A software framework for developing multi-agent applications. Lessons learned
Information and Software Technology
An empirical study of the impact of team size on software development effort
Information Technology and Management
An empirical study of the Cobb-Douglas production function properties of software development effort
Information and Software Technology
The relationship between software development team size and software development cost
Communications of the ACM - Rural engineering development
AF-APL – bridging principles and practice in agent oriented languages
ProMAS'04 Proceedings of the Second international conference on Programming Multi-Agent Systems
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Distributed problem-solving (DPS) systems use a framework of human organizational notions and principles of intelligent systems to solve complex problems. Human organizational notions are used to decompose a complex problem into sub-problems that can be solved using intelligent systems. The solutions of these sub-problems are combined to solve the original complex problem. In this paper, we propose a DPS system for probabilistic estimation of software development effort. Using a real-world software engineering dataset, we compare the performance of the DPS system with a neural network (NN) and show that the performance of the DPS system is equal to or better than that of the NN with the additional benefits of modularity, probabilistic estimates, greater interpretability, flexibility and capability to handle incomplete input data. © 2012 Wiley Periodicals, Inc.