Introduction to the personal software process
Introduction to the personal software process
A Critical Analysis of PSP Data Quality: Results from aCase Study
Empirical Software Engineering
IEEE Software
A survey of industrial experiences with CMM and the teaching of CMM practices
Journal of Computing Sciences in Colleges
Identifying High Performance ERP Projects
IEEE Transactions on Software Engineering
Mining student CVS repositories for performance indicators
MSR '05 Proceedings of the 2005 international workshop on Mining software repositories
Developer identification methods for integrated data from various sources
MSR '05 Proceedings of the 2005 international workshop on Mining software repositories
Evaluation of the capability of personal software process based on data envelopment analysis
SPW'05 Proceedings of the 2005 international conference on Unifying the Software Process Spectrum
Evaluation of project quality: a DEA-Based approach
SPW/ProSim'06 Proceedings of the 2006 international conference on Software Process Simulation and Modeling
Quantitative analysis of faults and failures with multiple releases of softpm
Proceedings of the Second ACM-IEEE international symposium on Empirical software engineering and measurement
ICSP '09 Proceedings of the International Conference on Software Process: Trustworthy Software Development Processes
Creating Process-Agents incrementally by mining process asset library
Information Sciences: an International Journal
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Effective capability assessment of individual software processes is akey issue involved in validating the past and adjusting future development processes.While most of the current assessment approaches have been successfullydemonstrated in academic communities, new challenges in metric data extractionand further analysis still arise when considering actual industrial applications. Inthis paper, we propose a novel integrated method for capability assessment of individualsoftware development processes. Firstly, our method facilitates the capabilitymetrics extraction task by making use of software repositories as the datasource, enabling recording of data effortless and more accurate. Then, we decomposethese metrics at the individual-level of granularity by exploring differenthuman identities from various sources. Finally, the data envelopment analysis(DEA) is also adopted to assist our method to carry out an objective and quantitativeassessment for individual software processes under MIMO constraints. Empiricalillustrations from a practical case study illustrate the effectiveness of theproposed method.