Towards an Open Source Stack to Create a Unified Data Source for Software Analysis and Visualization

EasyChair Preprint 356

Abstract

The beginning of every software analysis and visualization process is data acquisition. However, there are various sources of data about a software system. The methods used to extract the relevant data are as diverse as the sources are. Furthermore, integration and storage of heterogeneous data from different software artifacts to form a unified data source are very challenging. In this paper, we introduce an extensible open source stack to take the first step to solve these challenges. We show its feasibility by analyzing and visualizing JUnit and provide answers regarding the schema, selection, and implementation of software artifacts' data.

Keyphrases: Schema, graph database, open source, query, software analysis, software visualization

@booklet{EasyChair:356,
  author    = {Richard Müller and Dirk Mahler and Michael Hunger and Jens Nerche and Markus Harrer},
  title     = {Towards an Open Source Stack to Create a Unified Data Source for Software Analysis and Visualization},
  doi       = {10.29007/kcfq},
  howpublished = {EasyChair Preprint 356},
  year      = {EasyChair, 2018}}