Debugging software failures is still a painful, time consuming, and expensive process. For
instance, recent studies showed that debugging activities often account for about 50% of the …

We introduce ScanComplete, a novel data-driven approach for taking an incomplete 3D
scan of a scene as input and predicting a complete 3D model along with per-voxel semantic …

Effective automated program repair techniques have great potential to reduce the costs of
debugging and maintenance. Previously proposed automated program repair (APR) …

The advancements in machine learning techniques have encouraged researchers to apply
these techniques to a myriad of software engineering tasks that use source code analysis …

For decades, much software engineering research has been dedicated to devising
automated solutions aimed at enhancing developer productivity and elevating software …

A notable class of techniques for automatic program repair is known as semantics-based.
Such techniques, eg, Angelix, infer semantic specifications via symbolic execution, and then …

The advancements in machine learning techniques have encouraged researchers to apply
these techniques to a myriad of software engineering tasks that use source code analysis …

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 …

Existing APR techniques can be generally divided into two families: semantics-vs. heuristics-
based. Semantics-based APR uses symbolic execution and test suites to extract semantic …

Current state-of-the-art automatic software repair (ASR) techniques rely heavily on
incomplete specifications, or test suites, to generate repairs. This, however, may cause ASR …