SHF: Small: Reusing Debugging Knowledge

SHF：小：重用调试知识

• 批准号: 1117603
• 负责人: Zhendong Su
• 金额: $ 50万
• 依托单位: University of California-Davis
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-08-01 至 2016-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1117603&HistoricalAwards=false
• 关键词: SHF; Small; Reusing; Debugging; Knowledge

Developers spend most of their time debugging software. This effortresults in perfective changes to their applications, but is otherwiselost. No central repository exists that stores all bug descriptionsand fixes. The reason for this state of affairs is the belief thatdebugging is an idiosyncratic, context-specific task that does notgeneralize. In contrast, this project hypothesizes that applicationsdecompose into smaller, similar problems and that limitations of thehuman mind imply that we are likely to make similar errors whenconfronted by similar problems. In practice, most developersagree. When fixing a bug, a developer often begins by searching forsimilar bugs that have been reported and resolved in the past, becausea fix for a similar bug can help him understand his bug, or evendirectly fix his bug. In short, the problem is that the knowledgegained during debugging is wasted---either not stored or notsearchable.This project seeks to revolutionize debugging by capturing and reusingdebugging knowledge. Developers can leverage the knowledge of thecommunity to speed up debugging. To this end, it proposes to create auniversal bug repository capable of storing all bug information,indexed on bug traces. To speed debugging, this repository willsupport efficiently finding similar bugs and their fixes. It will bethe basis of automatic debugging tools that match closed bugs to anopen bug, then test the applicability of their fixes to that openbug. Programmers will consult the proposed bug repository as a matterof course during debugging. Monitors that compare the currentexecution against traces in the repository can also prevent bugs andimprove software reliability. This project promises to significantlyspeed up debugging and reduce software production cost. The proposededucational innovations and outreach efforts can also help train morecapable IT professionals for the workforce.

开发人员将大部分时间都花在调试软件上。这对其应用的完美变化进行了递增，但与众不同。不存在中央存储库来存储所有错误描述和修复。这种状况的原因是，人们认为，欺诈是一个特殊的，特定于上下文的任务，确实不化。相比之下，该项目假设应用程序将其归类为较小的类似问题，而人类思想的局限性暗示我们在与类似问题的情况下可能会犯类似的错误。实际上，大多数开发者。修复错误时，开发人员通常会开始搜索过去报告和解决的贴材虫，因为相似的错误可以帮助他理解他的错误，或者迫见地修复他的错误。简而言之，问题在于，在调试期间的知识浪费了 - 要么不存储或不可搜索。该项目试图通过捕获和重复使用知识来彻底改变调试。 开发人员可以利用社区的知识来加快调试。为此，它建议创建能够存储所有错误信息的Auniversal错误存储库，并在错误跟踪上索引。为了加快调试，该存储库将有效地找到类似的错误及其修复程序。它将为自动调试工具的基础，这些工具将封闭的错误与Anopen错误匹配，然后测试其修复程序对openbug的适用性。程序员将在调试过程中将提议的错误存储库咨询为问题课程。监视将当前发行与存储库中的痕迹进行比较的监视也可以防止错误和插入软件的可靠性。该项目有望大大提高调试并降低软件生产成本。拟议的教育创新和外展工作还可以帮助培训可行的IT专业人士为劳动力培训。