Towards a metrics suite for object oriented design
OOPSLA '91 Conference proceedings on Object-oriented programming systems, languages, and applications
Object-oriented metrics that predict maintainability
Journal of Systems and Software - Special issue on object-oriented software
A Validation of Object-Oriented Design Metrics as Quality Indicators
IEEE Transactions on Software Engineering
Managerial Use of Metrics for Object-Oriented Software: An Exploratory Analysis
IEEE Transactions on Software Engineering
Proceedings of the 20th international conference on Software engineering
Extreme programming explained: embrace change
Extreme programming explained: embrace change
A Metrics Suite for Object Oriented Design
IEEE Transactions on Software Engineering
An Empirical Investigation of an Object-Oriented Software System
IEEE Transactions on Software Engineering
Supporting Distributed Extreme Programming
Proceedings of the Second XP Universe and First Agile Universe Conference on Extreme Programming and Agile Methods - XP/Agile Universe 2002
Extreme Programming Explained: Embrace Change (2nd Edition)
Extreme Programming Explained: Embrace Change (2nd Edition)
Cross-continent development using scrum and XP
XP'03 Proceedings of the 4th international conference on Extreme programming and agile processes in software engineering
XP expanded: distributed extreme programming
XP'05 Proceedings of the 6th international conference on Extreme Programming and Agile Processes in Software Engineering
Off-Shore agile software development
XP'05 Proceedings of the 6th international conference on Extreme Programming and Agile Processes in Software Engineering
Tracking the evolution of object-oriented quality metrics on agile projects
XP'07 Proceedings of the 8th international conference on Agile processes in software engineering and extreme programming
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This paper analyzes the development of a project initiated by a co-located agile team that subsequently evolved into a distributed context. The project, named JAPS (Java Agile Portal System) [1], has been monitored on a regular basis since it started in January 2005, collecting both process and product metrics. Product metrics have been calculated by checking out the source code history from the CVS repository. By analyzing the evolution of these metrics, it has been possible to evaluate how the distribution of the team has impacted the source code quality.