Collaborative Research: CCRI: New: World Of Code (WoC): The development of curated code resource to support research in software engineering
Collaborative Research: CCRI: New: World Of Code (WoC): The development of curated code resource to support research in software engineering
批准号:
2120429
负责人:
Audris Mockus
金额:
$50.4万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2021
资助国家:
美国
项目状态:
已结题
起止时间:
2021-10-01 至 2024-09-30
中文摘要
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英文摘要
This project will create public research infrastructure centered around achieving a curated collection of source-code and version control history data approximating the entirety of open-source software (OSS). Real-world data from open-source software development has catalyzed progress in software engineering research in the last two decades. Despite the OSS version control data being public and detailed (with actions of developers and versions of the source code), the sheer scale and the need for curation (collection, contextualization, correction, augmentation, and integration) make such data unsuitable for research. The data are spread across many platforms, embedded in many tools and formats, and spread across tens of millions of repositories. Moreover, the difficulty of curating data across the entire OSS ecosystem, beyond the capabilities of individual research groups, also leaves many important research questions unanswered. Individual OSS projects depend on each other and share source code and developers among them. This creates tremendous risks, for example the spread of vulnerable source code and the ripple effects of volunteer maintainers disengaging. The team will create nearly complete, fully curated, and extensively cross-referenced version control data that will enable the research community to measure and understand the dynamics of OSS ecosystems and, thus, help identify and manage risk to OSS in particular and to society in general.This project will use input from the software engineering community to create a research infrastructure that contains: 1) regularly updated and cross-referenced source-code and version history resource approximating the entirety of OSS; 2) data curation capabilities, e.g., identity disambiguation and extraction of dependencies; 3) easy-to-use web services and applications to support common research tasks; 4) training: tutorials, mentoring, hackathons and seminars to help use the resource effectively and efficiently; 5) a community of researchers, developers, and companies who maintain, guide, enhance, and operate this infrastructure. This will enable answers to an entirely new set of research questions concerning OSS network structure defined by technical dependencies, code sharing, and knowledge flows. It will also provide accessible means for stratified sampling from the OSS universe of code, improving the generality of research findings.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
期刊论文(3)
专著(0)
科研奖励(0)
会议论文
DOI:
10.1007/s10664-022-10201-x
发表时间:
2022
期刊:
Empirical software engineering
影响因子:
4.1
作者:
[]
通讯作者:
DOI:
10.1109/tse.2022.3163576
发表时间:
2023-02
期刊:
IEEE Transactions on Software Engineering
影响因子:
7.4
作者:
[Kai Gao;Zhixing Wang;A. Mockus;Minghui Zhou]
通讯作者:
Kai Gao;Zhixing Wang;A. Mockus;Minghui Zhou
The extent of orphan vulnerabilities from code reuse in open source software
开源软件中代码重用造成的孤立漏洞的程度
DOI:
10.1145/3510003.3510216
发表时间:
2022
期刊:
2022 IEEE/ACM 44th International Conference on Software Engineering (ICSE
影响因子:
--
作者:
[Reid, David, Jahanshahi, Mahmoud, Mockus, Audris]
通讯作者:
Mockus, Audris
CHS: Medium: Collaborative Research: SDI-CPR: Sustaining Digital Infrastructure as a Common Pool Resource
-
批准号:1901102
-
项目类别:Continuing Grant
-
资助金额:$39.98万
-
财政年份:2019
-
负责人:Audris Mockus
-
依托单位:
CCRI: Collaborative Research: Planning for World Of Code (WoC): An Infrastructure for Open Source Software Census
-
批准号:1925615
-
项目类别:Standard Grant
-
资助金额:$6.61万
-
财政年份:2019
-
负责人:Audris Mockus
-
依托单位:
BIGDATA: Collaborative Research: IA: OSCAR - Open Source Supply Chains and Avoidance of Risk: An Evidence Based Approach to Improve FLOSS Supply Chains
-
批准号:1633437
-
项目类别:Standard Grant
-
资助金额:$130.0万
-
财政年份:2016
-
负责人:Audris Mockus
-
依托单位:
国内基金
海外基金
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