TY - GEN
T1 - Are You Talking about Software Product Lines? An Analysis of Developer Communities
AU - Krüger, Jacob
N1 - DBLP License: DBLP's bibliographic metadata records provided through http://dblp.org/ are distributed under a Creative Commons CC0 1.0 Universal Public Domain Dedication. Although the bibliographic metadata records are provided consistent with CC0 1.0 Dedication, the content described by the metadata records is not. Content may be subject to copyright, rights of privacy, rights of publicity and other restrictions.
PY - 2019
Y1 - 2019
N2 - Community-question-answering systems, such as Stack Overflow, provide a platform for various communities to ask questions, discuss topics, and find knowledge. Especially software developers are heavily relying on such systems to identify solutions for their problems. While the content of community-question-answering systems may be less scientific, it usually represents practical knowledge from various perspectives and backgrounds. Thus, analyzing this content can be valuable for the scientific community to understand previous and current (i.e., open questions) needs of practitioners. In this paper, we report a systematic analysis of two websites that comprise communities with a focus on software development: Stack Exchange and Quora. We extract questions, answers, comments, and discussions on software product lines in general and feature modeling in particular. The results provide a historical perspective, an overview on commonly addressed scopes, and a classification of discussed topics and problems. Moreover, our findings are interesting to understand the practical impact of software-product-line techniques outside of well-analyzed case studies, to support lectures by identifying regularly asked questions, and to scope tool development based on reported technical problems.
AB - Community-question-answering systems, such as Stack Overflow, provide a platform for various communities to ask questions, discuss topics, and find knowledge. Especially software developers are heavily relying on such systems to identify solutions for their problems. While the content of community-question-answering systems may be less scientific, it usually represents practical knowledge from various perspectives and backgrounds. Thus, analyzing this content can be valuable for the scientific community to understand previous and current (i.e., open questions) needs of practitioners. In this paper, we report a systematic analysis of two websites that comprise communities with a focus on software development: Stack Exchange and Quora. We extract questions, answers, comments, and discussions on software product lines in general and feature modeling in particular. The results provide a historical perspective, an overview on commonly addressed scopes, and a classification of discussed topics and problems. Moreover, our findings are interesting to understand the practical impact of software-product-line techniques outside of well-analyzed case studies, to support lectures by identifying regularly asked questions, and to scope tool development based on reported technical problems.
KW - Software Product Line
KW - Variability Modeling
KW - Feature Modeling
KW - Stack Overflow
KW - Quora
KW - Community Question Answering
U2 - 10.1145/3302333.3302348
DO - 10.1145/3302333.3302348
M3 - Conference contribution
SP - 11:1-11:9
BT - International Workshop on Variability Modelling of Software-Intensive Systems (VaMoS)
PB - Association for Computing Machinery, Inc
ER -