Lessons from a Cross-domain Investigation of Empirical Practices
Author(s) -
David Budgen,
John Bailey,
Mark Turner,
Barbara Kitchenham,
Pearl Brereton,
Stuart Charters
Publication year - 2008
Publication title -
electronic workshops in computing
Language(s) - English
Resource type - Conference proceedings
ISSN - 1477-9358
DOI - 10.14236/ewic/ease2008.10
Subject(s) - systematic review , empirical research , computer science , best practice , context (archaeology) , domain (mathematical analysis) , set (abstract data type) , data science , software engineering , empirical evidence , software , management science , knowledge management , engineering , management , medline , mathematics , political science , paleontology , mathematical analysis , philosophy , statistics , epistemology , law , economics , biology , programming language
Context: We are seeking the best ways to employ evidence-based practices in software engineering research and practice. Objectives: To help assess our guidelines for conducting systematic literature reviews we have investigated how other academic disciplines use evidence-based practices. Method: This involved performing two studies, one using a questionnaire with a set of experts, and a second using semi-structured interviews. Results: We have identified how disciplines with similar empirical constraints to software engineering place weight upon different forms of empirical data. Conclusions: We describe both the resulting changes to our systematic literature review guidelines and some issues this raises for empirical software engineering.
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