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What support do systematic reviews provide for evidence-informed teaching about software engineering practice?

Budgen, David; Brereton, Pearl; Williams, Nikki; Drummond, Sarah

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Authors

Pearl Brereton

Nikki Williams

Sarah Drummond



Abstract

Background: The adoption of the evidence-based research paradigm by software engineering researchers has created a growing knowledge base provided by the outcomes from systematic reviews. Aim: We set out to identify and catalogue a sample of the knowledge provided by systematic reviews, to determine what support they can provide for an evidence-informed approach to teaching about software engineering practice. Method: We undertook a tertiary study (a mapping study of systematic reviews) covering the period to the end of 2015. We identified and catalogued those reviews that had findings or made recommendations that were considered relevant to teaching about industry practice. Results: We examined a sample of 276 systematic reviews, selecting 49 for which we could clearly identify practice-oriented findings and recommendations that were supported by the data analysis provided in the review. We have classified these against established software engineering education knowledge categories and discuss the extent and forms of knowledge provided for each category. Conclusion: While systematic reviews can provide knowledge that can inform teaching about practice, relatively few systematic reviews present the outcomes in a form suitable for this purpose. Using a suitable format for presenting a summary of outcomes could improve this. Additionally, the increasing number of published systematic reviews suggests that there is a need for greater coordination regarding the cataloguing of their findings and recommendations.

Citation

Budgen, D., Brereton, P., Williams, N., & Drummond, S. (2020). What support do systematic reviews provide for evidence-informed teaching about software engineering practice?. E-Informatica, 14(1), 7-60. https://doi.org/10.37190/e-inf200101

Journal Article Type Article
Acceptance Date Jan 17, 2020
Online Publication Date Feb 13, 2020
Publication Date 2020
Deposit Date Jan 21, 2020
Publicly Available Date Feb 14, 2020
Journal E-INFORMATICA SOFTWARE ENGINEERING JOURNAL
Print ISSN 1897-7979
Electronic ISSN 2084-4840
Publisher Software Engineering Section of the Committee on Informatics of the Polish Academy of Sciences and Wrocław University of Science and Technology
Peer Reviewed Peer Reviewed
Volume 14
Issue 1
Pages 7-60
DOI https://doi.org/10.37190/e-inf200101
Public URL https://durham-repository.worktribe.com/output/1273346

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