Assessing programming language impact on software development productivity based on mining OSS repositories
Assessing programming language impact on software development productivity based on mining OSS repositories
This study is to investigate the impact of high-level, generalpurpose, programming languages on software development productivity and quality. In particular, a comparison is to be made between scripting languages and traditionally compiled, system programming ones to examine differences, if any. The data obtained for the research is from open source repositories gathered from Github. The results are going to be based on the analysis of possibly the largest open source dataset through examining a population of 15,000 projects and by including a sample of 4349 projects, where a main language can be identified. The investigation, so far, has revealed considerable differences in productivity between the two language groups.
36-38
Muna, Altherwi
03ff3298-0612-42d3-9658-545617776d13
29 March 2019
Muna, Altherwi
03ff3298-0612-42d3-9658-545617776d13
Muna, Altherwi
(2019)
Assessing programming language impact on software development productivity based on mining OSS repositories.
Software Engineering Notes, 44 (1), .
(doi:10.1145/3310013.3310017).
Abstract
This study is to investigate the impact of high-level, generalpurpose, programming languages on software development productivity and quality. In particular, a comparison is to be made between scripting languages and traditionally compiled, system programming ones to examine differences, if any. The data obtained for the research is from open source repositories gathered from Github. The results are going to be based on the analysis of possibly the largest open source dataset through examining a population of 15,000 projects and by including a sample of 4349 projects, where a main language can be identified. The investigation, so far, has revealed considerable differences in productivity between the two language groups.
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Published date: 29 March 2019
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Local EPrints ID: 475423
URI: http://eprints.soton.ac.uk/id/eprint/475423
ISSN: 0163-5948
PURE UUID: f1fdd4cc-0e72-45a6-86d2-64903eb4629c
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Date deposited: 17 Mar 2023 17:38
Last modified: 16 Mar 2024 17:27
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Author:
Altherwi Muna
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