There is a plethora of studies investigating object-oriented measures and their link with
external quality attributes, but usefulness of the measures may differ across empirical …

Information Retrieval (IR) methods, and in particular topic models, have recently been used
to support essential software engineering (SE) tasks, by enabling software textual retrieval …

Previous studies have investigated the reasons behind refactoring operations performed by
developers, and proposed methods and tools to recommend refactorings based on quality …

Topic modeling using models such as Latent Dirichlet Allocation (LDA) is a text mining
technique to extract human-readable semantic “topics”(ie, word clusters) from a corpus of …

Context Coupling relations reflect the dependencies between software entities and can be
used to assess the quality of a program. For this reason, a vast amount of them has been …

Software change impact analysis (CIA) is a technique for identifying the effects of a change,
or estimating what needs to be modified to accomplish a change. Since the 1980s, there …

For popular software systems, the number of daily submitted bug reports is high. Triaging
these incoming reports is a time consuming task. Part of the bug triage is the assignment of a …

In this paper, we present TACO (Textual Analysis for Code Smell Detection), a technique
that exploits textual analysis to detect a family of smells of different nature and different …

Artificial Intelligence (AI) has achieved significant advancements in technology and research
with the development over several decades, and is widely used in many areas including …

During software maintenance and evolution the internal structure of the software system
undergoes continuous changes. These modifications drift the source code away from its …