Publication Type
Conference Proceeding Article
Version
acceptedVersion
Publication Date
10-2023
Abstract
Managing dependencies between software services is a crucial task for any company operating cloud applications. Visualizations can help to understand and maintain these com-plex dependencies. In this paper, we present a force-directed service dependency visualization and filtering tool that has been developed and used within SAP. The tool's use cases include guiding service retirement as well as understanding service deployment landscapes and their relationship to the company's organizational structure. We report how we built and adapted the tool under strict time constraints to address the requirements of our users. We further share insights on how we enabled internal adoption. For us, starting with a minimal viable visualization and then quickly responding to user feedback was essential for convincing users of the tool's value. The final version of the tool enabled users to visually understand company-wide service consumption, supporting data-driven decision making.
Keywords
Visualization, Filtering, Decision making, Companies, Software, Time factors, Task analysis
Discipline
Management Information Systems | Software Engineering
Research Areas
Software and Cyber-Physical Systems
Publication
2023 IEEE Working Conference on Software Visualization (VISSOFT): Bogota, October 1-2: Proceedings
First Page
23
Last Page
27
ISBN
9798350308297
Identifier
10.1109/VISSOFT60811.2023.00012
Publisher
IEEE
City or Country
Piscataway, NJ
Citation
BALTES, Sebastian; PFITZMANN, Brian; KOWARK, Thomas; TREUDE, Christoph; and BECK, Fabian.
Visually analyzing company-wide software service dependencies: An industrial case study. (2023). 2023 IEEE Working Conference on Software Visualization (VISSOFT): Bogota, October 1-2: Proceedings. 23-27.
Available at: https://ink.library.smu.edu.sg/sis_research/8775
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1109/VISSOFT60811.2023.00012