Since 2009, the deep learning revolution, which was triggered by the introduction of
ImageNet, has stimulated the synergy between Software Engineering (SE) and Machine …

Researchers have recently achieved significant advances in deep learning techniques,
which in turn has substantially advanced other research disciplines, such as natural …

In recent years, advanced deep learning language models such as BERT, ELMO, ULMFiT
and GPT have demonstrated strong performance on many general natural language …

Background. Issues are prevalent, and identifying the correct priority of the reported issues is
crucial to reduce the maintenance effort and ensure higher software quality. There are …

In community-based software development, developers frequently rely on live-chatting to
discuss emergent bugs/errors they encounter in daily development tasks. However, it …

Employing Artificial Intelligence techniques to address challenges in requirements elicitation
is gaining traction. Although nine systematic literature reviews have been published on AI …

Security patches are essential for enhancing the stability and robustness of projects in the
open-source software community. While vulnerabilities are officially expected to be patched …

With the rapid increase in the number of Apps, the requirement of users has also become
extremely complex. Developers have to continuously acquire innovative requirements that …

Crash localization, an important step in debugging crashes, is challenging when dealing
with an extremely large number of diverse applications and platforms and underlying root …

Many industrial systems that are developed without proper engineering guidance due to a
lack of expertise or resources suffer from failures and maintenance problems in their …