The learning curves in Open-Source Software (OSS) development network

Youngsoo Kim, Lingxiao Jiang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

We examine the learning curves of individual software developers in Open-Source Software (OSS) Development. We collected the dataset of multi-year code change histories from the repositories for five open source software projects involving more than 100 developers. We build and estimate regression models to assess individual developers' learning progress (in reducing the likelihood they may make a bug). Our estimation results show that developer's coding experience does not decrease bug ratios while cumulative bug-fixing experience leads to learning progress. The results may have implications and provoke future research on project management about allocating resources on tasks that add new code versus tasks that debug and fix existing code. We also find that different developers indeed make different kinds of bug patterns, supporting personalized bug prediction in OSS network. We found the moderating effects of bug types on learning progress. Developers exhibit learning effects for some simple bug types (e.g., wrong literals) or bug types with many instances (e.g., wrong if conditionals).

Original languageEnglish
Title of host publicationICEC 2014 - 16th International Conference on Electronic Commerce
PublisherAssociation for Computing Machinery
Pages41-48
Number of pages8
ISBN (Print)9781450326186
DOIs
StatePublished - 2014
Event16th International Conference on Electronic Commerce, ICEC 2014 - Philadelphia, PA, United States
Duration: Aug 5 2014Aug 6 2014

Publication series

NameACM International Conference Proceeding Series

Conference

Conference16th International Conference on Electronic Commerce, ICEC 2014
CountryUnited States
CityPhiladelphia, PA
Period08/5/1408/6/14

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  • Cite this

    Kim, Y., & Jiang, L. (2014). The learning curves in Open-Source Software (OSS) development network. In ICEC 2014 - 16th International Conference on Electronic Commerce (pp. 41-48). (ACM International Conference Proceeding Series). Association for Computing Machinery. https://doi.org/10.1145/2617848.2617857