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IEEE Transactions on Software Engineering
Process Improvement and the Corporate Balance Sheet
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Measuring the Impacts Individual Process Maturity Attributes Have on Software Products
METRICS '98 Proceedings of the 5th International Symposium on Software Metrics
An Empirical Study of Software Project Bidding
IEEE Transactions on Software Engineering
Software engineering practice versus evidence-based software engineering research
REBSE '05 Proceedings of the 2005 workshop on Realising evidence-based software engineering
Strength of evidence in systematic reviews in software engineering
Proceedings of the Second ACM-IEEE international symposium on Empirical software engineering and measurement
A systematic review of quasi-experiments in software engineering
Information and Software Technology
A General Model for Measurement Improvement
IWSM '09 /Mensura '09 Proceedings of the International Conferences on Software Process and Product Measurement
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This article discusses the role of formal experiments in empirical software engineering. I take the view that the role of experiments has been overemphasised. Laboratory experiments are not representative of industrial software engineering tasks, so do not provide us with a reliable assessment of the effect of our techniques and tools. I suggest we need to concentrate a larger proportion of our research effort on industrial quasi-experiments and case studies. Methodologies for these empirical methods are well-understood in the social science and would appear to be appropriate mechanisms for investigating many software engineering research questions. In addition, I believe we need to make the results of empirical software engineering more visible and relevant to practitioners. To influence practitioners I suggest that we need to produce evidence-based text books and evidence-based software engineering standards.