Discovering models of software processes from event-based data
ACM Transactions on Software Engineering and Methodology (TOSEM)
Metrics and Models in Software Quality Engineering
Metrics and Models in Software Quality Engineering
CMMI Guidlines for Process Integration and Product Improvement
CMMI Guidlines for Process Integration and Product Improvement
CMMI Distilled: A Practical Introduction to Integrated Process Improvement
CMMI Distilled: A Practical Introduction to Integrated Process Improvement
Workflow mining: a survey of issues and approaches
Data & Knowledge Engineering
Process mining: a research agenda
Computers in Industry - Special issue: Process/workflow mining
Computers in Industry - Special issue: Process/workflow mining
Workflow Mining: Discovering Process Models from Event Logs
IEEE Transactions on Knowledge and Data Engineering
IT Service Management: An Introduction : Based on ITIL (Japanese Version)
IT Service Management: An Introduction : Based on ITIL (Japanese Version)
Introduction to Data Mining, (First Edition)
Introduction to Data Mining, (First Edition)
An exploratory study of process enactment as input to software process improvement
Proceedings of the 2006 international workshop on Software quality
Overview of Workflow Mining Technology
GRC '07 Proceedings of the 2007 IEEE International Conference on Granular Computing
Process mining framework for software processes
ICSP'07 Proceedings of the 2007 international conference on Software process
Detecting implicit dependencies between tasks from event logs
APWeb'06 Proceedings of the 8th Asia-Pacific Web conference on Frontiers of WWW Research and Development
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Software organizations are investing more and more time and resources in their process improvement. Process mining can be a valuable tool to gather data from event logs produced by decision-support information systems. This work discusses issues concerning process mining in the context of software development processes when using software metrics as data source. We also report an exploratory case study that uses metrics data from a software maintenance project from a large software operation. The results were useful to an exploratory analysis as well as to examine issues involved on the knowledge discovery process in this type of environment.