CSR---PDOS: Online Production-Run Software Failure Diagnosis at the User Site

CSR---PDOS：用户现场生产运行软件故障在线诊断

• 批准号: 1022830
• 负责人: Yuanyuan Zhou
• 金额: $ 56.95万
• 依托单位: University of California-San Diego
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-10-01 至 2012-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1022830&HistoricalAwards=false
• 关键词: CSR; PDOS; Online; Production; Run

As software systems have grown in size, complexity and cost, it has become increasingly difficult to deliver software bug-free to end users, which result in many software failures during production runs at the user site. While much work has been conducted on software failure diagnosis, most previous work focuses on off-site diagnosis (i.e. diagnosis at the development site with involvement of programmers) and thereby is insufficient to diagnose production-run software failure at the user site. To effectively address production-run failures, we propose a novel approach that automatically performs on-site software failure diagnosis right at the moment of a software failure and provide programmers a detailed diagnosis report regarding the occurred failure, including bug type, bug location, likely root cause, fault propagation chain, failure-triggering input, failure-triggering execution environment, potential temporal fixes, etc, without violating user?s privacy concerns or imposing large overhead during normal execution. To achieve the ambitious goal, the proposed research tightly integrates innovations from multiple layers: (1) Low-overhead operating and run-time system support to capture the failure moment without imposing large overhead during normal execution. (2) A novel, extensible, customizable, human-like failure diagnosis protocol. (3) Novel program analysis techniques that are specifically designed for on-site failure diagnosis. (4) Leverage existing and emerging hardware support and simple hardware extensions to reduce overhead.(5) A library-based API to allow applications to control or customize the diagnosis process if necessary.

随着软件系统的尺寸，复杂性和成本的增长，将软件的无漏洞交付给最终用户变得越来越困难，这导致在用户站点的生产过程中导致许多软件故障。尽管在软件故障诊断方面已经进行了许多工作，但以前的大多数工作都集中在异地诊断（即，在开发现场诊断与程序员的参与），因此不足以诊断用户站点的生产运行软件故障。 To effectively address production-run failures, we propose a novel approach that automatically performs on-site software failure diagnosis right at the moment of a software failure and provide programmers a detailed diagnosis report regarding the occurred failure, including bug type, bug location, likely root cause, fault propagation chain, failure-triggering input, failure-triggering execution environment, potential temporal fixes, etc, without violating user?s privacy concerns or imposing large overhead during normal execution.为了实现雄心勃勃的目标，拟议的研究紧密整合了多层的创新：（1）低空操作和运行时系统支持，以捕获失败时刻，而不会在正常执行期间施加大型开销。 （2）一种新颖的，可扩展的，可自定义的，人类的失败诊断方案。 （3）专门设计用于现场故障诊断的新型程序分析技术。 （4）利用现有和新兴的硬件支持和简单的硬件扩展名来减少开销。（5）基于库的API允许应用程序在必要时控制或自定义诊断过程。