What Community Contribution Pattern Says about Stability of Software Project?

Author

Rastogi, Ayushi ; Sureka, Ashish

Author_Institution

IIIT-Delhi, Delhi, India

Volume

2

fYear

2014

Firstpage

31

Lastpage

34

Abstract

Free/Libre Open Source Software (FLOSS) community management is an important issue. Contributor churn (joining or leaving a project) causes failure of the majority of software projects. In this paper, we present a framework to characterize stability of the community in software maintenance projects by mining Issue Tracking System (ITS). We identify key stability indicators and propose metrics to measure them. We conduct time series analysis on metrics data to examine the stability of the community. We model community participation patterns and forecast future behavior to help plan and support informed decision making. We present a case study of four years data of Google Chromium Project and investigate the inferential ability of the framework.

Keywords

project management; public domain software; software management; system recovery; FLOSS community management; Google chromium project; ITS; community contribution pattern; decision making; free-libre open source software; inferential ability; issue tracking system; key stability indicators; software maintenance projects; software project; time series analysis; Analytical models; Computational modeling; Data models; Market research; Measurement; Predictive models; Stability analysis; Developer Contribution Patterns; Issue Tracking System; Mining Software Repositories;

fLanguage

English

Publisher

ieee

Conference_Titel

Software Engineering Conference (APSEC), 2014 21st Asia-Pacific

ISSN

1530-1362

Print_ISBN

978-1-4799-7425-2

Type

conf

DOI

10.1109/APSEC.2014.88

Filename

7091211