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.

开发人员花大部分时间调试软件。这一努力的结果是在完善的变化，他们的应用程序，但otherwislost。不存在存储所有错误预防和修复的中央存储库。出现这种情况的原因是人们相信调试是一项特殊的、特定于上下文的任务，不能一概而论。相反，这个项目假设应用程序分解成更小的，类似的问题，人类思维的局限性意味着当我们遇到类似的问题时，我们可能会犯类似的错误。在实践中，大多数开发人员都同意。当修复一个bug时，开发人员通常从搜索过去报告和解决的类似bug开始，因为类似bug的修复可以帮助他了解他的bug，甚至直接修复他的bug。简而言之，问题是在调试过程中获得的知识被浪费了-要么不存储，要么不可搜索。这个项目试图通过捕获和重用调试知识来彻底改变调试。 开发人员可以利用计算机的知识来加速调试。为此，它建议创建一个通用的bug存储库，能够存储所有的bug信息，并根据bug跟踪进行索引。为了加快调试速度，这个存储库将支持有效地查找类似的错误及其修复。它将成为自动调试工具的基础，这些工具将关闭的bug与打开的bug相匹配，然后测试它们修复的bug的适用性。程序员在调试过程中将参考建议的错误存储库作为理所当然的事情。将当前数据与存储库中的跟踪进行比较的方法还可以防止错误并提高软件的可靠性。该项目有望大大加快调试速度，降低软件生产成本。拟议的教育创新和推广工作也可以帮助培训更多的IT专业人员的劳动力。