Analyzing Software using Deep Learning

Quick Facts

Content

Software developers use tools that automate particular subtasks of the development process. Recent advances in machine learning, in particular deep learning, are enabling tools that had seemed impossible only a few years ago, such as tools that predict what code to write next, which parts of a program are likely to be incorrect, and how to fix software bugs. This course introduces recent techniques developed at the intersection of program analysis and machine learning. In one part of the course, we will cover some basics of both fields, followed by a discussion of several recent deep learning-based programming tools. In the other part of the course, students will implement their own deep learning-based program analysis based on an existing framework. Grading will be based on the implementation as well as a written exam. 

Schedule

Course Project

The goal of the course project is to design, implement, and evaluate a neural network-based code completion
approach.

Framework for the project

Description of the project

Questions, quizzes, and additional information

We are using Piazza for class discussion, in-class quizzes, and for sharing additional material. The system is highly catered to getting you help fast and efficiently from classmates and instructors. Rather than emailing questions to the teaching staff, please post your questions on Piazza.

Find our class page at: http://piazza.com/tu-darmstadt.de/summer2017/20000999iv

Grading

Grading will be based on the course project and the final exam (50% each).