Deep Learning (DL) techniques for Natural Language Processing have been evolving
remarkably fast. Recently, the DL advances in language modeling, machine translation, and …

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

Context: Automatic localization of buggy files can speed up the process of bug fixing to
improve the efficiency and productivity of software quality assurance teams. Useful semantic …

Given a bug report, bug localization technique can help developers automatically locate
potential buggy files. Information retrieval and deep learning approaches have been applied …

Technical Debt (TD) expresses the need for improvements in a software system, eg, to its
source code or architecture. In certain circumstances, developers “self-admit” technical debt …

Bug localization automatic localize relevant source files given a natural language
description of bug within a software project. For a large project containing hundreds and …

To improve the software debugging efficiency, bug localization techniques have been
developed to automatically locate buggy files based on bug reports. Traditional information …

We are in the shoes of a practitioner who uses previous project releases' data to predict
which classes of the current release are defect-prone. In this scenario, the practitioner would …

In recent years, several researchers have applied machine learning techniques to several
knowledge areas achieving acceptable results. Thus, a considerable number of deep …

Bug localization utilizes the collected bug reports to locate the buggy source files. The state
of the art falls short in handling the following three aspects, including (L1) the subtle …