SHF: Small: Find and Fix Similar Software Bugs

SHF：小型：查找并修复类似的软件错误

• 批准号: 1018600
• 负责人: Tien Nguyen
• 金额: $ 48.33万
• 依托单位: Iowa State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-08-15 至 2014-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1018600&HistoricalAwards=false
• 关键词: SHF; Small; Find; Fix; Similar

Finding and fixing bugs are crucial in the process of developing reliable and high-quality software. Software developers could base on their own experience with their programs, or effectively find bugs by consulting the similar bugs and fixes from others in the past for the same or different systems. However, the body of knowledge in software engineering is still very limited on the nature, the causes and effects, and the characteristics of such recurring bugs. The learning process from prior known bugs is still ad-hoc, manually, and un-systematically. In this project, a comprehensive approach is introduced to capture the knowledge of prior bugs and corresponding fixes, and to leverage such knowledge to build automated tools to detect potential recurring buggy code at other locations in the same or different systems. Such tools will help to detect bugs early in the development process, leading to higher-quality software and the improvement in productivity of software developers in the bug fixingpractice.In this project, an empirical study will be conducted to collect, analyze, and understand the nature and characteristics of recurring and similar bugs within one and across multiple systems. This project is expected to advance software engineering knowledge on the theoretical foundation, concepts, practical techniques, and automated tools to (1) capture the characteristics and measure the similarity of code units involved in prior known fixed bugs, (2) identify the locations of potential buggy units and derive the guidelines to fix them by matching them to the relevant peer code units of the known bugs, and (3) support the similar bug detection and fixing process. The teaching modules and validation efforts in this project will involve students and professionals, promoting teaching and training software quality assurance.

在开发可靠和高质量的软件的过程中，查找和修复错误至关重要。软件开发人员可以根据自己的程序经验，或通过咨询其他人的类似错误和修复相同或不同系统的方法来有效地找到错误。但是，软件工程知识的体系仍然非常有限，其原因，原因和效果以及此类反复出现的错误的特征。从先前已知错误的学习过程仍然是临时，手动和非系统性的。在该项目中，引入了一种全面的方法，以捕获先前的错误和相应修复程序的知识，并利用此类知识来构建自动化工具，以检测在相同或不同系统中其他位置的潜在重复的错误代码。这样的工具将有助于在开发过程的早期检测错误，从而导致更高质量的软件，并提高Bug FixingPractice中软件开发人员的生产率。在该项目中，将进行一项经验研究，以收集，分析和理解一个和跨多个系统内的反复效果和类似错误的性质和特征。预计该项目将提高有关理论基础，概念，实用技术和自动化工具的软件工程知识，以（1）捕获特征并测量与先前已知固定错误相关的代码单位的相似性，（2）潜在的错误单元的位置，并确定与已知的bug和Support units conting units conting units conting units cobs and unight and cobs and consect and consect and consects and consect and（3），并（3）。该项目的教学模块和验证工作将涉及学生和专业人员，从而促进教学和培训软件质量保证。