Software Size Estimation of Object-Oriented Systems
IEEE Transactions on Software Engineering
Software complexity: measures and methods
Software complexity: measures and methods
IEEE Transactions on Software Engineering
Selected papers of the sixth annual Oregon workshop on Software metrics
A field study of scale economies in software maintenance
Management Science - Special issue: Frontier research on information systems and economics
Effort estimation and prediction of object-oriented systems
Journal of Systems and Software
Corrigenda: a hierarchy-aware approach to faceted classification of object-oriented components
ACM Transactions on Software Engineering and Methodology (TOSEM)
Data mining: practical machine learning tools and techniques with Java implementations
Data mining: practical machine learning tools and techniques with Java implementations
A Validation of the Component-Based Method for Software Size Estimation
IEEE Transactions on Software Engineering - special section on current trends in exception handling—part II
An empirical study of factors impacting the size of object-oriented component code documentation
Proceedings of the 20th annual international conference on Computer documentation
Improving Size Estimates Using Historical Data
IEEE Software
A Metrics Suite for Object Oriented Design
IEEE Transactions on Software Engineering
What we can learn from extreme programming
Journal of Computing Sciences in Colleges
Identifying High Performance ERP Projects
IEEE Transactions on Software Engineering
METRICS '03 Proceedings of the 9th International Symposium on Software Metrics
Software Engineering: A Practitioner's Approach (McGraw-Hill Series in Computer Science)
Software Engineering: A Practitioner's Approach (McGraw-Hill Series in Computer Science)
Journal of Systems and Software - Special issue: Quality software
Journal of Systems and Software - Special issue: Quality software
Hybrid Intelligence in Software Release Planning
International Journal of Hybrid Intelligent Systems
Evolutionary reinforcement learning of artificial neural networks
International Journal of Hybrid Intelligent Systems - Hybridization of Intelligent Systems
How good is your blind spot sampling policy
HASE'04 Proceedings of the Eighth IEEE international conference on High assurance systems engineering
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Recent research suggests that software testing consumes substantial resources and documenting source code is one way to reduce software maintenance cost. The software engineering literature provides little information on how to establish whether a software component is adequately documented. It appears that benchmarking can be used to identify a software component with little or no documentation. In this paper, we propose and illustrate how a hybrid Data Envelopment Analysis (DEA), Kohonen self-organizing mapping, and Euclidean distance based algorithm can be used to identify poorly documented software components.