Cartographic maps have been shown to provide cognitive benefits when interpreting data in
relation to a geographic location. In visualization, the term map‐like describes techniques …

Researchers in software engineering have attempted to improve software development by
mining and analyzing software repositories. Since the majority of the software engineering …

Topic models are a class of unsupervised learning algorithms for detecting the semantic
structure within a text corpus. Together with a subsequent dimensionality reduction …

Software repositories, such as source code, email archives, and bug databases, contain
unstructured and unlabeled text that is difficult to analyze with traditional techniques. We …

A treemap is a visualization that has been specifically designed to facilitate the exploration
of tree-structured data and, more general, hierarchically structured data. The family of …

Topic models are shown to be effective to mine unstructured software engineering (SE) data.
In this paper, we give a simple survey of exploring topic models to support various SE tasks …

While many large-scale software systems intensively implement variability to reuse software
and speed up development, they often do not document it, hampering its comprehension …

Large codebases-in the order of millions of lines of code (MLOC)-are incredibly complex.
Whether fixing a fault, or implementing a new feature, changes to such systems often have …

In order to detect software risks at an early stage, various software visualization techniques
have been developed for monitoring the structure, behaviour, or the underlying development …

The construction of a large-scale integrated information system has been a hot issue in the
field of geoinformatics. It aims to integrate aboveground and underground spatial …