Research at the intersection of machine learning, programming languages, and software
engineering has recently taken important steps in proposing learnable probabilistic models …

Deep Learning (DL) techniques for Natural Language Processing have been evolving
remarkably fast. Recently, the DL advances in language modeling, machine translation, and …

Millions of open source projects with numerous bug fixes are available in code repositories.
This proliferation of software development histories can be leveraged to learn how to fix …

The problem of fixing errors in programs has attracted substantial interest over the years.
The key challenge for building an effective code fixing tool is to capture a wide range of …

We consider the problem of learning to repair programs from diagnostic feedback (eg,
compiler error messages). Program repair is challenging for two reasons: First, it requires …

Novice programmers struggle with the complex syntax of modern programming languages
like Java, and make lot of syntax errors. The diagnostic syntax error messages from …

Concept This paper is a living review on automatic program repair 1. Compared to a
traditional survey, a living review evolves over time. I use a concise bullet-list style meant to …

Many researchers have carried out studies related to programming languages since the
beginning of computer science. Besides programming with traditional programming …

Open source software has been widely used in various industries due to its openness and
flexibility, but it also brings potential software security problems. Together with the large …

Automatically fixing compilation errors can greatly raise the productivity of software
development, by guiding the novice or AI programmers to write and debug code. Recently …