Software metrics (2nd ed.): a rigorous and practical approach
Software metrics (2nd ed.): a rigorous and practical approach
Investigating data quality problems in the PSP
SIGSOFT '98/FSE-6 Proceedings of the 6th ACM SIGSOFT international symposium on Foundations of software engineering
A Discipline for Software Engineering
A Discipline for Software Engineering
A Critical Analysis of PSP Data Quality: Results from aCase Study
Empirical Software Engineering
A Component-Based Architecture for Secure Data Publication
ACSAC '01 Proceedings of the 17th Annual Computer Security Applications Conference
Collecting, Integrating and Analyzing Software Metrics and Personal Software Process Data
EUROMICRO '03 Proceedings of the 29th Conference on EUROMICRO
A Ontology-based Process Modelling for XP
APSEC '03 Proceedings of the Tenth Asia-Pacific Software Engineering Conference Software Engineering Conference
Measures for mobile users: an architecture
Journal of Systems Architecture: the EUROMICRO Journal - Special issue: Adaptable system/Software architectures
XP'07 Proceedings of the 8th international conference on Agile processes in software engineering and extreme programming
Metric techniques for maintenance programmers in a maintenance ticket environment
Journal of Computing Sciences in Colleges
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Collecting software engineering data is difficult due to the number of problems that researchers face in this activity. One of the most relevant is the ability to install and keep up-to-date the measurement tools installed in the production machines in order to collect such data. Even when a few machines are involved, maintaining all the tools required to collect data from the different development tools requires a full-time system administrator. Moreover, since most of these tools are research tools, researchers are updating them very frequently to fix bugs or to add new features. In a production environment, especially when Agile Methodologies are in place, the time and effort. For these reasons, automating the management of the tools for metrics collection is a key factor to provide easy-to-use tools and allow development teams to collect data useful for both practitioners and researchers.