软工大数据-software success prediction-文献资料汇总

为了今后整理的方便，把看过的一些文献资料放在这里

Overview

0001 ★★ 2009 What makes free/libre open source software(FLOSS) projects successful? An agent-based model of FLoSS projects

0002 ★★★★ 2012 Open source software success: Measures and analysis

0003 ★★★ 2009 Measuring open source software success

0004 ★★★★ 2003 The DeLone and McLean Model of Information Systems Success: A Ten-Year Update

0005 ★★★★ 2009 Evaluating Longitudinal Success of Open Source Software Projects:  A Social Network Perspective

Details

0001 2009 What makes free/libre open source software(FLOSS) projects successful? An agent-based model of FLoSS Projects

从sourceforge上摘取数据，初始化模型，基于Agent模型按工作周为时间单位进行模拟。

在某一时刻，agent将会根据Utility值决定是否加入开发(to contribute)以及是否使用(to consume)

使用遗传算法优化模型参数。

0002 2012 Open source software success: Measures and Analysis

从sourceforge上摘取数据，分为两类：time-invariant / time-dependent data

  a.time-invariant data: OSS license, Operating system, Programming language, Accepts financial donations, User type

  b.time-dependent data: Project age, Developer scale, Subscriber scale

对subscriber(1)和developer(2)分别建立如下数学模型，进行参数拟合。

0005 2009 Evaluating Longitudinal Success of Open Source Software Projects:  A Social Network Perspective

从sourceforge上收集了2006/11-2007/11的数据，共126个Project。

选择标准：

    1.top rank 7000

    2.more than 3 developers

    3.BPSF(bug, patch, Support and Feature) tracking System

    4.interactions

假设：

Part A:network Features and success

    1.Project centrality will positively affect the level of project development activities.

    2.Project centrality will positively affect the level of project popularity.

    3.Project density will negatively affect the level of project development activities.

    4.Project density will negatively affect the level of project popularity.

    5.Project leadership centrality will positively affect the level of project development activities.

    6.Leader’s heightened participations in other projects will yield a negative effect on project development activities for projects with high leadership centrality.

    7.Project leadership centrality will positively affect the level of project popularity.

    8.Leader’s heightened participations in other projects will yield a negative effect on project popularity for projects with high leadership centrality.

Part B:Project Characteristics and success

    9A.A project with a restrictive license will be likely to achieve a higher level of development activities.

    9B.A more complex project will be likely to achieve a higher level of development activities.

    10A.A project written in a popular programming language will be likely to achieve a higher level of popularity.

    10B.A project with a longer time history will be likely to achieve a higher level of popularity.

    10C.A project targeting at end users will be likely to achieve a higher level of popularity.