Some observations on software quality
ACM-SE 37 Proceedings of the 37th annual Southeast regional conference (CD-ROM)
Optimum Control Limits for Employing Statistical Process Control in Software Process
IEEE Transactions on Software Engineering
Statistical process control for software: a systematic approach
Proceedings of the Second ACM-IEEE international symposium on Empirical software engineering and measurement
Assessment of Software Process and Metrics to Support Quantitative Understanding
Software Process and Product Measurement
Statistically Based Process Monitoring: Lessons from the Trench
ICSP '09 Proceedings of the International Conference on Software Process: Trustworthy Software Development Processes
WSEAS Transactions on Information Science and Applications
WSEAS Transactions on Information Science and Applications
ICCOMP'10 Proceedings of the 14th WSEAS international conference on Computers: part of the 14th WSEAS CSCC multiconference - Volume II
Improving efficiency in software maintenance
Proceedings of the 8th Working Conference on Mining Software Repositories
Investigating suitability of software process and metrics for statistical process control
EuroSPI'06 Proceedings of the 13th European conference on Software Process Improvement
Systematic review of statistical process control: an experience report
EASE'07 Proceedings of the 11th international conference on Evaluation and Assessment in Software Engineering
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Most businesses outside the software-engineering community, like hardware manufacturers and service suppliers, have made statistical process control part of their development regimen. Does this mean we can ultimately expect the technique to penetrate the software world? Although a few pioneers (mostly practitioners) have attempted to use statistical process control in software-engineering applications, the opinion of many academics and practitioners is that it simply doesn't fit in the software world. These objections probably stem from an unfamiliarity with the technique and how to use it to best advantage. Many tend to dismiss it simply on the grounds that software can't be measured, but properly applied, statistical process control can flag potential process problems, even though it cannot supply absolute scores or goodness ratings.