An analysis of static metrics and faults in C software
Journal of Systems and Software
An Empirical Study of Software Metrics
IEEE Transactions on Software Engineering
Transformation and weighting in regression
Transformation and weighting in regression
Robust regression and outlier detection
Robust regression and outlier detection
Complexity measurement of a graphical programming language
Software—Practice & Experience
Comments on data analysis in software experiments
ACM SIGICE Bulletin
Elements of Software Science (Operating and programming systems series)
Elements of Software Science (Operating and programming systems series)
Experimental Design and Analysis in Software Engineering: Types of Experimental Design
ACM SIGSOFT Software Engineering Notes
Software Development Cost Estimation Using Function Points
IEEE Transactions on Software Engineering
Exploring robust component-based software
Proceedings of the 2006 international workshop on Software quality
Modeling the relationship between software effort and size using deming regression
Proceedings of the 6th International Conference on Predictive Models in Software Engineering
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"Software development, like other scientific developments, requires formal experiments with a great deal of plan and analysis if they are to provide meaningful results"[11]. This paper uses examples to extend the discussion to certain statistical analyses, i.e., robust estimation and variance modeling, which are relatively new and may have never been practiced in the software engineering field.