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CRII: SHF: Automatic Extraction of Error-Handling Specifications in Systems Software

CRII: SHF: Automatic Extraction of Error-Handling Specifications in Systems Software
CRII:SHF:系统软件中错误处理规范的自动提取
批准号:
1464439
负责人:
Cindy Rubio Gonzalez
金额:
$17.5万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2015
资助国家:
美国
项目状态:
已结题
起止时间:
2015-03-15 至 2018-09-30

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中文摘要
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英文摘要
Software error handling is the process of detecting and responding tothe occurrence of errors during the execution of a program. Ideally,whenever a runtime error occurs, software systems should respondaccording to the programmer?s intent. Unfortunately, that is often notthe case. Error-handling code is difficult to write, and tends to bepoorly understood, poorly documented, and poorly tested.Unsurprisingly, error-handling code is often buggy. Bugs in softwareerror handlers are some of the most pervasive, dangerous, anddifficult to detect bugs. Incorrect error-handling is particularlyalarming in systems software (e.g., the operating system) because userapplications depend on the reliability of systems software. Thisresearch aims to gather a better understanding of error handling insystems software through automatic inference of error-handlingspecifications.Error-handling specifications describe how the system detects andrecovers from errors. This research applies static program analysistechniques to automatically infer error-handling specifications insystems software. This task is particularly challenging becausesystems software implements numerous failure policies, anderror-handling code is often diffused through the system. Furthermore,the analysis of such large code bases often faces scalabilityproblems. Understanding existing error-handling strategies is thefirst step to ensure systems software is reliable. This understandingalso has the potential to lead to the development of newerror-handling mechanisms, and new programming language support forerror handling. Both of these could have a significant impact onsoftware reliability beyond systems software.
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Collaborative Research: DOE/NSF Workshop on Correctness in Scientific Computing
  • 批准号:
    2319663
  • 项目类别:
    Standard Grant
  • 资助金额:
    $1.5万
  • 财政年份:
    2023
  • 负责人:
    Cindy Rubio Gonzalez
  • 依托单位:
Collaborative Research: PPoSS: LARGE: ScaleStuds: Foundations for Correctness Checkability and Performance Predictability of Systems at Scale
  • 批准号:
    2119348
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $62.5万
  • 财政年份:
    2021
  • 负责人:
    Cindy Rubio Gonzalez
  • 依托单位:
CCRI: ENS: BugSwarm: Enhancing an Infrastructure and Dataset to Support the Software Engineering Research Community
  • 批准号:
    2016735
  • 项目类别:
    Standard Grant
  • 资助金额:
    $145.44万
  • 财政年份:
    2020
  • 负责人:
    Cindy Rubio Gonzalez
  • 依托单位:
CAREER: Understanding and Combating Numerical Bugs for Reliable and Efficient Software Systems
  • 批准号:
    1750983
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $53.74万
  • 财政年份:
    2018
  • 负责人:
    Cindy Rubio Gonzalez
  • 依托单位:
国内基金
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衔接蛋白SHF负向调控胶质母细胞瘤中EGFR/EGFRvIII再循环和稳定性的功能及机制研究
  • 批准号:
    82302939
  • 项目类别:
    青年科学基金项目
  • 资助金额:
    30万元
  • 批准年份:
    2023
  • 负责人:
    汪京京
  • 依托单位:
EGFR/GRβ/Shf调控环路在胶质瘤中的作用机制研究
  • 批准号:
    81572468
  • 项目类别:
    面上项目
  • 资助金额:
    60.0万元
  • 批准年份:
    2015
  • 负责人:
    邹健
  • 依托单位: