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M3triCity: visualizing evolving software & data cities

Authors:

Susanna Ardigò,

Roberto Minelli,

Michele LanzaAuthors Info & Claims

ICSE '22: Proceedings of the ACM/IEEE 44th International Conference on Software Engineering: Companion Proceedings

Pages 130 - 133

https://doi.org/10.1145/3510454.3516831

Published: 19 October 2022 Publication History

Abstract

The city metaphor for visualizing software systems in 3D has been widely explored and has led to many diverse implementations and approaches. Common among all approaches is a focus on the software artifacts, while the aspects pertaining to the data and information (stored both in databases and files) used by a system are seldom taken into account.

We present M3triCity, an interactive web application whose goal is to visualize object-oriented software systems, their evolution, and the way they access data and information. We illustrate how it can be used for program comprehension and evolution analysis of data-intensive software systems.

Demo video URL: https://youtu.be/uBMvZFIlWtk

References

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Cited By

Krause-Glau ADamerau LHansen MHasselbring W(2024)Visual Integration of Static and Dynamic Software Analysis in Code Reviews via Software City Visualization2024 IEEE Working Conference on Software Visualization (VISSOFT)10.1109/VISSOFT64034.2024.00028(144-149)Online publication date: 6-Oct-2024
https://doi.org/10.1109/VISSOFT64034.2024.00028
Mortara JCollet PDery-Pinna A(2024)Visualization of object-oriented software in a city metaphorJournal of Systems and Software10.1016/j.jss.2023.111876208:COnline publication date: 4-Mar-2024
https://dl.acm.org/doi/10.1016/j.jss.2023.111876
Nagy CLanza MCleve A(2023)Mining, Analyzing, and Evolving Data-Intensive Software EcosystemsSoftware Ecosystems10.1007/978-3-031-36060-2_11(281-314)Online publication date: 6-Oct-2023
https://doi.org/10.1007/978-3-031-36060-2_11

Index Terms

M3triCity: visualizing evolving software & data cities
1. Software and its engineering

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cover image ACM Conferences

ICSE '22: Proceedings of the ACM/IEEE 44th International Conference on Software Engineering: Companion Proceedings

May 2022

394 pages

ISBN:9781450392235

DOI:10.1145/3510454

General Chair:
Matthew B Dwyer
University of Virginia

Copyright © 2022 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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SIGSOFT: ACM Special Interest Group on Software Engineering

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New York, NY, United States

Publication History

Published: 19 October 2022

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SNF (Swiss National Science Foundation)

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ICSE '22

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SIGSOFT

ICSE '22: 44th International Conference on Software Engineering

May 21 - 29, 2022

Pennsylvania, Pittsburgh

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Overall Acceptance Rate 276 of 1,856 submissions, 15%

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ICSE 2025

2025 IEEE/ACM 46th International Conference on Software Engineering

April 26 - May 3, 2025

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Cited By

Krause-Glau ADamerau LHansen MHasselbring W(2024)Visual Integration of Static and Dynamic Software Analysis in Code Reviews via Software City Visualization2024 IEEE Working Conference on Software Visualization (VISSOFT)10.1109/VISSOFT64034.2024.00028(144-149)Online publication date: 6-Oct-2024
https://doi.org/10.1109/VISSOFT64034.2024.00028
Mortara JCollet PDery-Pinna A(2024)Visualization of object-oriented software in a city metaphorJournal of Systems and Software10.1016/j.jss.2023.111876208:COnline publication date: 4-Mar-2024
https://dl.acm.org/doi/10.1016/j.jss.2023.111876
Nagy CLanza MCleve A(2023)Mining, Analyzing, and Evolving Data-Intensive Software EcosystemsSoftware Ecosystems10.1007/978-3-031-36060-2_11(281-314)Online publication date: 6-Oct-2023
https://doi.org/10.1007/978-3-031-36060-2_11

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