SPViz: A DSL-Driven Approach for Software Project Visualization Tooling
January 30, 2024 Β· Declared Dead Β· π VISIGRAPP
"No code URL or promise found in abstract"
Evidence collected by the PWNC Scanner
Authors
Niklas Rentz, Reinhard von Hanxleden
arXiv ID
2401.17063
Category
cs.SE: Software Engineering
Citations
1
Venue
VISIGRAPP
Last Checked
5 months ago
Abstract
For most service architectures, such as OSGi and Spring, architecture-specific tools allow software developers and architects to visualize otherwise obscure configurations hidden in the project files. Such visualization tools are often used for documentation purposes and help to better understand programs than with source code alone. However, such tools often do not address project-specific peculiarities or do not exist at all for less common architectures, requiring developers to use different visualization and analysis tools within the same architecture. Furthermore, many generic modeling tools and architecture visualization tools require their users to create and maintain models manually. We here propose a DSL-driven approach that allows software architects to define and adapt their own project visualization tool. The approach, which we refer to as Software Project Visualization (SPViz), uses two DSLs, one to describe architectural elements and their relationships, and one to describe how these should be visualized. We demonstrate how SPViz can then automatically synthesize a customized, project-specific visualization tool that can adapt to changes in the underlying project automatically. We implemented our approach in an open-source library, also termed SPViz and discuss and analyze four different tools that follow this concept, including open-source projects and projects from an industrial partner in the railway domain.
Community Contributions
Found the code? Know the venue? Think something is wrong? Let us know!
π Similar Papers
In the same crypt β Software Engineering
R.I.P.
π»
Ghosted
R.I.P.
π»
Ghosted
Microservices: yesterday, today, and tomorrow
π
π
The Cartographer
A Survey of Machine Learning for Big Code and Naturalness
R.I.P.
π»
Ghosted
An Overview on Smart Contracts: Challenges, Advances and Platforms
R.I.P.
π»
Ghosted
Slither: A Static Analysis Framework For Smart Contracts
R.I.P.
π»
Ghosted
ContractFuzzer: Fuzzing Smart Contracts for Vulnerability Detection
Died the same way β π» Ghosted
R.I.P.
π»
Ghosted
Federated Learning: Strategies for Improving Communication Efficiency
R.I.P.
π»
Ghosted
In-Datacenter Performance Analysis of a Tensor Processing Unit
R.I.P.
π»
Ghosted
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning
R.I.P.
π»
Ghosted