Keynote Talk #1: Intelligent Program Analysis for Automated Software Defect Detection and Fixing

T. Nguyen
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Abstract

Detecting and fixing software defects are important in developing reliable and high-quality software systems. Software defects are so prevalent and detrimental that they cost billion dollars annually. In this talk, I will present the latest, advanced research in leveraging intelligent program analysis and combining with machine learning to automatically detect and fix software defects and vulnerabilities. I also present the challenges that the current state-of-the-art approaches in the field has been facing and the solutions in the new directions of intelligent program analysis and program representation learning. Finally, I will conclude the talk with the open challenges in the next steps in that direction.
主题演讲#1:用于自动软件缺陷检测和修复的智能程序分析
检测和修复软件缺陷对于开发可靠、高质量的软件系统非常重要。软件缺陷是如此普遍和有害,以至于每年要花费数十亿美元。在这次演讲中,我将介绍利用智能程序分析并结合机器学习来自动检测和修复软件缺陷和漏洞的最新、先进的研究。我还介绍了该领域当前最先进的方法所面临的挑战,以及智能程序分析和程序表示学习新方向的解决方案。最后,我将以这个方向下一步的公开挑战来结束这次演讲。
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