Orthogonal Defect Classification-A Concept for In-Process Measurements
IEEE Transactions on Software Engineering - Special issue on software measurement principles, techniques, and environments
The unified software development process
The unified software development process
Function point analysis: measurement practices for successful software projects
Function point analysis: measurement practices for successful software projects
A Discipline for Software Engineering
A Discipline for Software Engineering
Software Cost Estimation with Cocomo II with Cdrom
Software Cost Estimation with Cocomo II with Cdrom
A software process for time-constrained course projects
Proceedings of the 28th international conference on Software engineering
Quality gates in use-case driven development
Proceedings of the 2006 international workshop on Software quality
Synergia: a software engineering laboratory to bridge the gap between university and industry
Proceedings of the 2006 international workshop on Summit on software engineering education
Software Estimation: Demystifying the Black Art
Software Estimation: Demystifying the Black Art
Using Model-Driven Development in Time-Constrained Course Projects
CSEET '07 Proceedings of the 20th Conference on Software Engineering Education & Training
Using Quality Audits to Assess Software Course Projects
CSEET '09 Proceedings of the 2009 22nd Conference on Software Engineering Education and Training
Teaching software engineering and software project management: an integrated and practical approach
Proceedings of the 34th International Conference on Software Engineering
Teaching software process modeling
Proceedings of the 2013 International Conference on Software Engineering
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This paper discusses results achieved in measuring complexity, effectiveness and efficiency, in a series of related software course projects, spanning a period of seven years. We focus on how the complexity of those projects was measured, and how the success of the students in effectively and efficiently taming that complexity was assessed. This required defining, collecting, validating and analyzing several indicators of size, effort and quality; their rationales, advantages and limitations are discussed. The resulting findings helped to improve the process itself.