skip to main content
research-article

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

Published:29 March 2019Publication History
Skip Abstract Section

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.

Index Terms

  1. Assessing Programming Language Impact on Software Development Productivity Based on Mining OSS Repositories
      Index terms have been assigned to the content through auto-classification.

      Recommendations

      Comments

      Login options

      Check if you have access through your login credentials or your institution to get full access on this article.

      Sign in

      Full Access

      • 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
        Issue’s Table of Contents

        Copyright © 2022 Copyright is held by the owner/author(s)

        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.

        Publisher

        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 29 March 2019

        Check for updates

        Qualifiers

        • research-article

      PDF Format

      View or Download as a PDF file.

      PDF

      eReader

      View online with eReader.

      eReader