Graph-Based Analysis and Visualization of Software Traces

EasyChair Preprint 1694

Abstract

Graphs are a suitable representation of software artifacts' data created during development and maintenance activities. Software traces monitored with Kieker are one example of such data. We present a jQAssistant plugin that scans event-based Kieker traces and stores them in a Neo4j graph database. This opens up new possibilities for analyzing and visualizing these traces with respect to application performance monitoring and architecture discovery. We illustrate the feasibility and usefulness of the plugin with the Bookstore application example.

Keyphrases: Cypher, Kieker, Maintenance, Neo4j, dynamic analysis, graph database, graph visualization, jQAssistant, reverse engineering, yFiles

@booklet{EasyChair:1694,
  author    = {Richard Müller and Matteo Fischer},
  title     = {Graph-Based Analysis and Visualization of Software Traces},
  howpublished = {EasyChair Preprint 1694},
  year      = {EasyChair, 2019}}