Most programs today are written not by professional software developers, but by people with
expertise in other domains working towards goals for which they need computational …

Agile systems development (SD) is described as a cooperative game of invention and
communication, in which teams are characterized by relying heavily on informal …

Recent advances in machine learning have stimulated widespread interest within the
Information Technology sector on integrating AI capabilities into software and services. This …

Increasing numbers of software vulnerabilities are discovered every year whether they are
reported publicly or discovered internally in proprietary code. These vulnerabilities can pose …

Teamwork is crucial in software development, particularly in agile development teams which
are cross-functional and where team members work intensively together to develop a …

Source code summarization aims to automatically generate concise summaries of source
code in natural language texts, in order to help developers better understand and maintain …

During software development and maintenance, developers spend a considerable amount
of time on program comprehension activities. Previous studies show that program …

Adding an ability for a system to learn inherently adds uncertainty into the system. Given the
rising popularity of incorporating machine learning into systems, we wondered how the …

OpenAI's Codex, a GPT-3 like model trained on a large code corpus, has made headlines in
and outside of academia. Given a short user-provided description, it is capable of …

Static analysis tools are widely used for vulnerability detection as they understand programs
with complex behavior and millions of lines of code. Despite their popularity, static analysis …