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SHF: Small: BugX: In-house Debugging of Field Failures to Improve Software Quality

SHF: Small: BugX: In-house Debugging of Field Failures to Improve Software Quality
SHF:小:BugX:现场故障的内部调试以提高软件质量
批准号:
1320783
负责人:
Alessandro Orso
金额:
$43.5万
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
项目状态:
已结题
起止时间:
2013-09-01 至 2017-08-31

项目摘要

项目成果

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中文摘要
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英文摘要
A recent survey conducted among developers of the Apache, Eclipse, andMozilla projects showed that the ability to recreate fieldfailures--failures of the software that occur after deployment, onuser machines--is considered of fundamental importance wheninvestigating bug reports. Unfortunately, the information typicallycontained in a bug report, such as memory dumps or call stacks, isusually insufficient for recreating the problem. Even more advancedapproaches for gathering field data and help in-house debugging tendto provide too little information to developers and to be thereforeineffective.The overall goal of this project is to improve the state of the art byallowing, supporting, and partially automating, actual in-housedebugging of field failures. Specifically, this research will developnovel techniques and tools that let developers reproduce, analyze, andunderstand, in-house, failures observed in the field. Given a fieldfailure, the developed techniques will (1) collect a suitable set ofdata about the failure on the user machine, (2) generate one or moreinputs that can be executed against the failing application and resultin a failure analogous to the one observed, and (3) provide hints onthe root causes of the failure and possible fixes for these causes. Toachieve this goal, the research will combine static and dynamicprogram analysis techniques and leverage and extend techniques fortesting deployed software, input generation and anonymization, andsoftware debugging. If successful, this research will provideunprecedented advantages to developers by allowing them to debug fieldfailures in the same way in which they debug in-house ones, which willimprove software quality and benefit all segments of society thatdepend on software. Furthermore, the project will develop and makeavailable to the broader scientific community educational materialsthat incorporate research findings, tools that implement thetechniques developed within the project, and samples of the softwarebenchmarks used in empirical evaluations. The availability ofcurriculum materials, tools, infrastructure, and benchmarks willadvance knowledge, enable additional research in the area, andultimately further benefit society.
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Collaborative Research: SHF: Medium: A General Framework for Automated Test Transfer
  • 批准号:
    2107125
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $40.0万
  • 财政年份:
    2021
  • 负责人:
    Alessandro Orso
  • 依托单位:
SHF: Medium: Spectral Profiling: Understanding Software Performance without Code Instrumentation
  • 批准号:
    1563991
  • 项目类别:
    Standard Grant
  • 资助金额:
    $85.0万
  • 财政年份:
    2016
  • 负责人:
    Alessandro Orso
  • 依托单位:
EAGER: Collaborative Research: Leveraging Graph Databases for Incremental and Scalable Symbolic Analysis and Verification of Web Applications
  • 批准号:
    1548856
  • 项目类别:
    Standard Grant
  • 资助金额:
    $10.0万
  • 财政年份:
    2015
  • 负责人:
    Alessandro Orso
  • 依托单位:
I-Corps: Capturing Field Data for Mobile Applications
  • 批准号:
    1522518
  • 项目类别:
    Standard Grant
  • 资助金额:
    $5.0万
  • 财政年份:
    2015
  • 负责人:
    Alessandro Orso
  • 依托单位:
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  • 项目类别:
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  • 资助金额:
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  • 负责人:
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