research-article

Assessing Programming Language Impact on Software Development Productivity Based on Mining OSS Repositories

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Altherwi MunaAuthors Info & Claims

ACM SIGSOFT Software Engineering Notes, Volume 44, Issue 1

Pages 36 - 38

https://doi.org/10.1145/3310013.3310017

Published: 29 March 2019 Publication History

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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.

Cited By

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Gordillo ACalero CMoraga MGarcía FFernandes JAbreu RSaraiva J(2024)Programming languages ranking based on energy measurementsSoftware Quality Journal10.1007/s11219-024-09690-4Online publication date: 27-Jul-2024
https://doi.org/10.1007/s11219-024-09690-4
Romanov AYarushkina NFilippov ASergeev PAndreev IKiselev S(2023)Time Series Forecasting during Software Project State AnalysisMathematics10.3390/math1201004712:1(47)Online publication date: 22-Dec-2023
https://doi.org/10.3390/math12010047
Chandorkar APatkar NDi Sorbo ANierstrasz O(2022)An Exploratory Study on the Usage of Gherkin Features in Open-Source Projects2022 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER)10.1109/SANER53432.2022.00134(1159-1166)Online publication date: Mar-2022
https://doi.org/10.1109/SANER53432.2022.00134

Index Terms

Assessing Programming Language Impact on Software Development Productivity Based on Mining OSS Repositories
1. Social and professional topics
  1. Professional topics
    1. Management of computing and information systems
      1. Project and people management
2. Software and its engineering
  1. Software creation and management
    1. Software development process management

Index terms have been assigned to the content through auto-classification.

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Published In

cover image ACM SIGSOFT Software Engineering Notes

ACM SIGSOFT Software Engineering Notes Volume 44, Issue 1

January 2019

82 pages

ISSN:0163-5948

DOI:10.1145/3310013

Editor:
John Georgas
Northern Arizona University, USA

Issue’s Table of Contents

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 29 March 2019

Published in SIGSOFT Volume 44, Issue 1

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Cited By

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Gordillo ACalero CMoraga MGarcía FFernandes JAbreu RSaraiva J(2024)Programming languages ranking based on energy measurementsSoftware Quality Journal10.1007/s11219-024-09690-4Online publication date: 27-Jul-2024
https://doi.org/10.1007/s11219-024-09690-4
Romanov AYarushkina NFilippov ASergeev PAndreev IKiselev S(2023)Time Series Forecasting during Software Project State AnalysisMathematics10.3390/math1201004712:1(47)Online publication date: 22-Dec-2023
https://doi.org/10.3390/math12010047
Chandorkar APatkar NDi Sorbo ANierstrasz O(2022)An Exploratory Study on the Usage of Gherkin Features in Open-Source Projects2022 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER)10.1109/SANER53432.2022.00134(1159-1166)Online publication date: Mar-2022
https://doi.org/10.1109/SANER53432.2022.00134

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Recommendations

Assessing programming language impact on development and maintenance: a study on c and c++

Impact of Programming Language Fragmentation on Developer Productivity: A Sourceforge Empirical Study

Natural Language Processing for Productivity Metrics for Software Development Profiling in Enterprise Applications