This article presents a survey on automatic software repair. Automatic software repair
consists of automatically finding a solution to software bugs without human intervention. This …

In program debugging, finding a failing run is only the first step; what about correcting the
fault? Can we automate the second task as well as the first? The AutoFix-E tool …

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 …

Debugging is an inevitable activity in most software projects, often difficult and more time-
consuming than expected, giving it the nickname the" dirty little secret of computer science." …

Software reliability is a primary concern in the construction of software, and thus a
fundamental component in the definition of software quality. Analyzing software reliability …

Resolving inconsistencies in software models is a complex task because the number of
repairs grows exponentially. Existing approaches thus emphasize on selected repairs only …

Training a deep learning model on source code has gained significant traction recently.
Since such models reason about vectors of numbers, source code needs to be converted to …

We present an extension of Scala that supports constraint programming over bounded and
unbounded domains. The resulting language, Kaplan, provides the benefits of constraint …

Deep learning-based program repair has received significant attention from the research
community lately. Most existing techniques treat source code as a sequence of tokens or …

Understanding the input and output of data wrangling scripts is crucial for various tasks like
debugging code and onboarding new data. However, existing research on script …