Northampton Electronic Collection of Theses and Research

A Methodology for Performing Meta-analyses of Developers Attitudes Towards Programming Practices

Butler, T. (2019) A Methodology for Performing Meta-analyses of Developers Attitudes Towards Programming Practices. In: Arai, K., Bhatia, R. and Kapoor, S. (eds.) Intelligent Computing : Proceedings of the 2019 Computing Conference. GBR: Springer. pp. 948-974.

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Butler_Thomas_SPR_2019_A_Methodology_for_Performing_Meta_analyses_of_Developers_Attitudes_Towards_Programming_Practices
Butler_Thomas_SAI_2019_A_Methodology_for_Performing_Meta_analyses_of_Developers_Attitudes_Towards_Programming_Practices.pdf - Accepted Version
Information
Abstract:
Programming practices are often labelled as “best practice” and “bad practice” by developers. This label can be subjective but we can see trends among developers. A methodology for performing meta-analyses of articles discussing any given practice was created to determine programmers overall attitudes towards any given practice while accounting for factors such as whether they considered alternative approaches.
Uncontrolled Keywords:
Intelligent computing, Programming
Creators:
Butler, T.
Editors:
Arai, K., Bhatia, R. and Kapoor, S.
Publisher:
Springer
Faculties, Divisions and Institutes:
Faculties > Faculty of Arts, Science & Technology > Computing
Date:
7 February 2019
Date Type:
Acceptance
Page Range:
pp. 948-974
Title of Book:
Intelligent Computing : Proceedings of the 2019 Computing Conference
Series Name:
Advances in Intelligent Systems and Computing
Volume:
2
Event Title:
SAI Computing Conference 2019
Event Dates:
2019-07-16 - 2019-07-17
Place of Publication:
GBR
Number of Pages:
27
Language:
English
ISBN:
978-3-030-22867-5
DOI:
10.1007/978-3-030-22868-2
Status:
Published / Disseminated
Refereed:
Yes
Related URLs:
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