TY - GEN
T1 - The learning curves in Open-Source Software (OSS) development network
AU - Kim, Youngsoo
AU - Jiang, Lingxiao
PY - 2014
Y1 - 2014
N2 - 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).
AB - 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).
UR - http://www.scopus.com/inward/record.url?scp=84907083125&partnerID=8YFLogxK
U2 - 10.1145/2617848.2617857
DO - 10.1145/2617848.2617857
M3 - Conference contribution
AN - SCOPUS:84907083125
SN - 9781450326186
T3 - ACM International Conference Proceeding Series
SP - 41
EP - 48
BT - ICEC 2014 - 16th International Conference on Electronic Commerce
PB - Association for Computing Machinery
T2 - 16th International Conference on Electronic Commerce, ICEC 2014
Y2 - 5 August 2014 through 6 August 2014
ER -