Capability Maturity Model, Version 1.1
IEEE Software
Quantitative Analysis of Faults and Failures in a Complex Software System
IEEE Transactions on Software Engineering
Preliminary guidelines for empirical research in software engineering
IEEE Transactions on Software Engineering
ISESE '03 Proceedings of the 2003 International Symposium on Empirical Software Engineering
Identifying the Causes of Poor Progress in Software Projects
METRICS '04 Proceedings of the Software Metrics, 10th International Symposium
On the need for a process for making reliable quality comparisons with industrial data
ACM SIGSOFT Software Engineering Notes
Evidence-Based Software Engineering for Practitioners
IEEE Software
Realising evidence-based software engineering a report from the workshop held at ICSE 2005
ACM SIGSOFT Software Engineering Notes
Empirical paradigm - the role of experiments
Proceedings of the 2006 international conference on Empirical software engineering issues: critical assessment and future directions
Investigating adoption of agile software development methodologies in organisations
XP'07 Proceedings of the 8th international conference on Agile processes in software engineering and extreme programming
EASE'06 Proceedings of the 10th international conference on Evaluation and Assessment in Software Engineering
Electronic Notes in Theoretical Computer Science (ENTCS)
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In this paper, we review four examples in software engineering practice of the lack of use of empirical evidence. We use these examples to support our claims that practitioners and researchers appear to have different values with regards to empirical evidence, and appear to use different criteria when evaluating the credibility of evidence. From our examples, it seems that practitioners need to be persuaded to adopt evidence-based software engineering practices. Consequently, the research community needs to consider strategies for persuading practitioners. Paradoxically for software engineering research, the more effective persuasion strategies may be ones that, initially at least, do not rely on empirical evidence.