Evaluating the Impact of Peer Impression on Project Outcomes in Free/Libre, Open Source Software (FLOSS) Projects

评估同行印象对免费/自由开源软件 (FLOSS) 项目成果的影响

基本信息

  • 批准号:
    1322276
  • 负责人:
  • 金额:
    $ 30万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2013
  • 资助国家:
    美国
  • 起止时间:
    2013-08-01 至 2019-08-31
  • 项目状态:
    已结题

项目摘要

Software development organizations that employ a distributed development model (i.e. participants are not co-located) are an important class of virtual organizations, operating as sociotechnical systems that incorporate computer-mediated communication and collaboration to enable their success. Despite the availability of various sociotechnical interaction techniques, the literature suggests that distributed teams require more time and resources than co-located teams to do the same amount of work. The lack of physical interaction among members of distributed teams hinders the process of impression formation, because individuals have difficulty obtaining an accurate view of the expertise and ability of teammates. Inaccurate perceptions may lead distributed software developers to improperly disregard teammates' input, ultimately reducing the productivity of the team as a whole. In this project we will model the process of peer impression formation in Free/Libre and Open Source Software (FLOSS) projects, one of the most common types of virtual software development organizations. The objectives of this project are 1) to build and evaluate an empirical model describing the impression-formation process, 2) to measure the accuracy of peer impressions, and 3) to observe how peer impressions affect project outcomes.This project seeks to identify and understand how various types of sociotechnical interactions (e.g. via code review, bug repositories, and code repositories) influence peer impression formation in distributed FLOSS projects. We will evaluate how peer impressions affect collaboration and project outcomes. The results of this work will improve the software development process for FLOSS projects. Therefore, this research will have broad impacts on society because of the large number of FLOSS projects that provide key software for many important tasks. This work will also contribute to building the first theoretical model of impression formation processes in FLOSS projects. In addition to their direct applicability in FLOSS project, these results will be also applicable to other types of distributed software development, which is largely similar to FLOSS development and has been adopted worldwide by many commercial organizations.
采用分布式开发模型(即参与者不在同一地点)的软件开发组织是一类重要的虚拟组织,它们作为社会技术系统运行,结合了计算机中介的沟通和协作以使其能够取得成功。尽管有各种社会技术交互技术,但文献表明,分布式团队比共处一地的团队需要更多的时间和资源来完成相同数量的工作。分散的团队成员之间缺乏身体互动阻碍了印象的形成过程,因为个人很难准确地了解队友的专业知识和能力。不准确的认知可能会导致分布式软件开发人员不适当地忽视团队成员的输入,最终降低整个团队的生产率。在这个项目中,我们将对最常见的虚拟软件开发组织之一的Free/Libre和开放源码软件(FLOSS)项目中同事印象的形成过程进行建模。本项目的目标是1)建立和评估一个描述印象形成过程的经验模型,2)测量同伴印象的准确性,以及3)观察同伴印象如何影响项目结果。本项目试图识别和理解不同类型的社会技术交互(例如,通过代码审查、错误资源库和代码资源库)如何影响分布式牙线项目中同伴印象的形成。我们将评估同行印象如何影响协作和项目结果。这项工作的结果将改进FLOSS项目的软件开发过程。因此,这项研究将产生广泛的社会影响,因为大量的FLOSS项目为许多重要任务提供了关键软件。这项工作还将有助于建立第一个牙线项目中印象形成过程的理论模型。除了它们在FLOSS项目中的直接适用性外,这些结果还将适用于其他类型的分布式软件开发,这些类型的分布式软件开发在很大程度上类似于FLOSS开发,并已被全球许多商业组织采用。

项目成果

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专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

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Jeffrey Carver其他文献

Can observational techniques help novices overcome the software inspection learning curve? An empirical investigation
  • DOI:
    10.1007/s10664-006-9021-5
  • 发表时间:
    2006-10-18
  • 期刊:
  • 影响因子:
    3.600
  • 作者:
    Jeffrey Carver;Forrest Shull;Victor Basili
  • 通讯作者:
    Victor Basili
Longlining haddock with manufactured bait to reduce catch of Atlantic cod in a conservation zone
  • DOI:
    10.1016/j.fishres.2008.08.015
  • 发表时间:
    2008-11-01
  • 期刊:
  • 影响因子:
  • 作者:
    Michael V. Pol;Steven J. Correia;Robert MacKinnon;Jeffrey Carver
  • 通讯作者:
    Jeffrey Carver
Perspective-Based Reading: A Replicated Experiment Focused on Individual Reviewer Effectiveness
  • DOI:
    10.1007/s10664-006-5967-6
  • 发表时间:
    2006-02-18
  • 期刊:
  • 影响因子:
    3.600
  • 作者:
    José C. Maldonado;Jeffrey Carver;Forrest Shull;Sandra Fabbri;Emerson Dória;Luciana Martimiano;Manoel Mendonça;Victor Basili
  • 通讯作者:
    Victor Basili

Jeffrey Carver的其他文献

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{{ truncateString('Jeffrey Carver', 18)}}的其他基金

Collaborative Research: EAGER: Characterizing Research Software from NSF Awards
协作研究:EAGER:获得 NSF 奖项的研究软件特征
  • 批准号:
    2211277
  • 财政年份:
    2022
  • 资助金额:
    $ 30万
  • 项目类别:
    Standard Grant
Collaborative Research: Frameworks for Intelligent Adaptive Experimentation: Enhancing and Tailoring Digital Education
合作研究:智能自适应实验框架:增强和定制数字教育
  • 批准号:
    2209821
  • 财政年份:
    2022
  • 资助金额:
    $ 30万
  • 项目类别:
    Standard Grant
CC* Compute: Accelerating Advances in Science and Engineering at The University of Alabama Through HPC Infrastructure
CC* 计算:通过 HPC 基础设施加速阿拉巴马大学科学与工程的进步
  • 批准号:
    2018846
  • 财政年份:
    2020
  • 资助金额:
    $ 30万
  • 项目类别:
    Standard Grant
A Inquiry-Based Pedagogy and Supporting Tool to Improve Student Learning of Software Testing Concepts
基于探究的教学法和支持工具,以提高学生对软件测试概念的学习
  • 批准号:
    2013296
  • 财政年份:
    2020
  • 资助金额:
    $ 30万
  • 项目类别:
    Standard Grant
Collaborative Research: CyberTraining: Implementation: Small: INnovative Training Enabled by a Research Software Engineering Community of Trainers (INTERSECT)
协作研究:网络培训:实施:小型:由研究软件工程培训师社区 (INTERSECT) 支持的创新培训
  • 批准号:
    2017259
  • 财政年份:
    2020
  • 资助金额:
    $ 30万
  • 项目类别:
    Standard Grant
SFS@BAMA: Shaping the Next Generation of Cyber Professionals
SFS@BAMA:塑造下一代网络专业人员
  • 批准号:
    1946599
  • 财政年份:
    2020
  • 资助金额:
    $ 30万
  • 项目类别:
    Continuing Grant
Travel Grant for the 2018 Empirical Software Engineering International Week
2018 年实证软件工程国际周旅费补助
  • 批准号:
    1834707
  • 财政年份:
    2018
  • 资助金额:
    $ 30万
  • 项目类别:
    Standard Grant
Collaborative Research: Transforming Computer Science Education Research Through Use of Appropriate Empirical Research Methods: Mentoring and Tutorials
合作研究:通过使用适当的实证研究方法来改变计算机科学教育研究:指导和教程
  • 批准号:
    1525373
  • 财政年份:
    2015
  • 资助金额:
    $ 30万
  • 项目类别:
    Continuing Grant
EAGER: Collaborative Research: Making Software Engineering Work for Computational Science and Engineering: An Integrated Approach
EAGER:协作研究:使软件工程为计算科学与工程服务:一种综合方法
  • 批准号:
    1445344
  • 财政年份:
    2014
  • 资助金额:
    $ 30万
  • 项目类别:
    Standard Grant
Integrating Software Engineering and Human Error Models to Improve Software Quality
集成软件工程和人为错误模型以提高软件质量
  • 批准号:
    1421006
  • 财政年份:
    2014
  • 资助金额:
    $ 30万
  • 项目类别:
    Standard Grant

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