Software engineering metrics and models
Software engineering metrics and models
The object-oriented systems life cycle
Communications of the ACM
Designing object-oriented software
Designing object-oriented software
Object-oriented metrics that predict maintainability
Journal of Systems and Software - Special issue on object-oriented software
Object-oriented analysis and design with applications (2nd ed.)
Object-oriented analysis and design with applications (2nd ed.)
Tools for specifying real-time systems
Real-Time Systems - Special issue: history of real-time systems
Metric framework for object-oriented real-time systems specification languages
Journal of Systems and Software
Effort estimation and prediction of object-oriented systems
Journal of Systems and Software
Assessment of system evolution through characterization
Proceedings of the 20th international conference on Software engineering
NASA's TReK project: a case study in using the spiral model of software development
Communications of the ACM - Supporting community and building social capital
Modeling Development Effort in Object-Oriented Systems Using Design Properties
IEEE Transactions on Software Engineering - Special section on the seventh international software metrics symposium
Effort estimation for corrective software maintenance
SEKE '02 Proceedings of the 14th international conference on Software engineering and knowledge engineering
A distributed industrial application for quality control of clinched boards based on computer vision
SEKE '02 Proceedings of the 14th international conference on Software engineering and knowledge engineering
Research Frontiers in Object Technology
Information Systems Frontiers
Future trends in software evolution metrics
IWPSE '01 Proceedings of the 4th International Workshop on Principles of Software Evolution
Estimation and Prediction Metrics for Adaptive Maintenance Effort of Object-Oriented Systems
IEEE Transactions on Software Engineering
MSR '05 Proceedings of the 2005 international workshop on Mining software repositories
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Nesi reveals that estimation of effort is key to managing OO development projects, then documents a few rules of thumb for doing this. One lesson he's learned from using these rules is that estimates for a whole project are not reliable if estimates for subcomponents are simply added up. As the project size increases, so does the overhead for communication and general interaction. Nesi goes beyond effort metrics and recommends that you collect metrics throughout the project and use them for continuous revalidation of assumptions and project performance. If we accept that "what you can't measure, you can't manage," this is good advice.