ABSTRACT
The preceding chapters making up Part I of this book have addressed the various issues concerned with adapting the practices of the evidence-based paradigm to the needs of software engineering. In particular, they have described the role of a systematic review in amassing and synthesising evidence related to software engineering topics. So in this, the final chapter of Part I, we consider what should happen after the systematic review, and in particular, how the outcomes from a review (the data) can be interpreted to create knowledge that can then be used to guide practice, to help set standards, and to assist policy-making.
