Large language models such as Codex, have shown the capability to produce code for
many programming tasks. However, the success rate of existing models is low, especially for …

The existing deep learning (DL)-based automated program repair (APR) models are limited
in fixing general software defects. We present DEAR, a DL-based approach that supports …

We report our experience with SapFix: the first deployment of automated end-to-end fault
fixing, from test case design through to deployed repairs in production code. We have used …

For ensuring the reliability of Android apps, there has been tremendous, continuous
progress on improving automated GUI testing in the past decade. Specifically, dozens of …

Intense competition in the mobile apps market means it is important to maintain high levels
of app reliability to avoid losing users. Yet despite its importance, app reliability is …

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 …

Native code is now commonplace within Android app packages where it co-exists and
interacts with Dex bytecode through the Java Native Interface to deliver rich app …

Mobile apps rely heavily on the application programming interface (API) provided by their
underlying operating system (OS). Because OS and API can change frequently, developers …

Mobile apps have become ubiquitous. Ensuring their correctness and reliability is important.
However, many apps still suffer from occasional to frequent crashes, weakening their …

The Rust programming language, with its safety guarantees, has established itself as a
viable choice for low-level systems programming language over the traditional, unsafe …