A scientific methodology for MIS case studies
MIS Quarterly
Evaluating Software Design Processes by Analyzing Change Data Over Time
IEEE Transactions on Software Engineering
Prototyping a Process Monitoring Experiment
IEEE Transactions on Software Engineering
Metric-driven analysis and feedback systems for enabling empirically guided software development
ICSE '91 Proceedings of the 13th international conference on Software engineering
Experience Using Cleanroom Software Engineering
IEEE Software
A Case Study of Software Process Improvement During Development
IEEE Transactions on Software Engineering
Design Process Improvement Case Study Using Process Waiver Data
Proceedings of the 5th European Software Engineering Conference
Discovering models of software processes from event-based data
ACM Transactions on Software Engineering and Methodology (TOSEM)
Software process validation: quantitatively measuring the correspondence of a process to a model
ACM Transactions on Software Engineering and Methodology (TOSEM)
Measuring Process Consistency: Implications for Reducing Software Defects
IEEE Transactions on Software Engineering
Empirical Studies Applied to Software Process Models
Empirical Software Engineering
ICSM '01 Proceedings of the IEEE International Conference on Software Maintenance (ICSM'01)
Measuring Behavioral Correspondence to a Timed Concurrent Model
ICSM '01 Proceedings of the IEEE International Conference on Software Maintenance (ICSM'01)
Discovering models of behavior for concurrent workflows
Computers in Industry - Special issue: Process/workflow mining
Free/open source software development
Proceedings of the the 6th joint meeting of the European software engineering conference and the ACM SIGSOFT symposium on The foundations of software engineering
Free/open source software development: recent research results and emerging opportunities
The 6th Joint Meeting on European software engineering conference and the ACM SIGSOFT symposium on the foundations of software engineering: companion papers
Software evolution in open source projects—a large-scale investigation
Journal of Software Maintenance and Evolution: Research and Practice
Comparison of Process Quality Characteristics Based on Change Request Data
IWSM/Metrikon/Mensura '08 Proceedings of the International Conferences on Software Process and Product Measurement
Process assessment by evaluating configuration and change request management systems
Proceedings of the Warm Up Workshop for ACM/IEEE ICSE 2010
IWSM '09 /Mensura '09 Proceedings of the International Conferences on Software Process and Product Measurement
Representing the behaviour of software projects using multi-dimensional timelines
Information and Software Technology
The future of research in free/open source software development
Proceedings of the FSE/SDP workshop on Future of software engineering research
Empirical Software Engineering
Information and Software Technology
Automatically analyzing software processes: experience report
SPW'05 Proceedings of the 2005 international conference on Unifying the Software Process Spectrum
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Process studies and improvement efforts typically call for new instrumentation on the process in order to collect the data they have deemed necessary. This can be intrusive and expensive, and resistance to the extra workload often foils the study before it begins. The result is neither interesting new knowledge nor an improved process. In many organizations, however, extensive historical process and product data already exist. Can these existing data be used to empirically explore what process factors might be affecting the outcome of the process? If they can, organizations would have a cost-effective method for quantitatively, if not causally, understanding their process and its relationship to the product. We present a case study that analyzes an in-place industrial process and takes advantage of existing data sources. In doing this, we also illustrate and propose a methodology for such exploratory empirical studies. The case study makes use of several readily available repositories of process data in the industrial organization. Our results show that readily available data can be used to correlate both simple aggregate metrics and complex process metrics with defects in the product. Through the case study, we give evidence supporting the claim that exploratory empirical studies can provide significant results and benefits while being cost effective in their demands on the organization.