Using multilevel call matrices in large software projects

Frank van Ham

doi:10.1109/INFVIS.2003.1249030

Using multilevel call matrices in large software projects

Frank van Ham

Algorithms

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

76 Citations (SciVal)

Abstract

Traditionally, node link diagrams are the prime choice when it comes to visualizing software architectures. However, node link diagrams often fall short when used to visualize large graph structures. In this paper we investigate the use of call matrices as visual aids in the management of large software projects. We argue that call matrices have a number of advantages over traditional node link diagrams when the main object of interest is the link instead of the node. Matrix visualizations can provide stable and crisp layouts of large graphs and are inherently well suited for large multilevel visualizations because of their recursive structure. We discuss a number of visualization issues, using a very large software project currently under development at Philips Medical Systems as a running example.

Original language	English
Title of host publication	Proceedings 9th Annual IEEE Symposium on Information Visualization (InfoVis 2003, Seattle WA, USA, October 19-21, 2003)
Editors	T. Munzner, S. North
Place of Publication	Piscataway
Publisher	Institute of Electrical and Electronics Engineers
Pages	227-232
Number of pages	6
ISBN (Print)	0-7803-8154-8
DOIs	https://doi.org/10.1109/INFVIS.2003.1249030
Publication status	Published - 2003
Event	IEEE Symposium on Information Visualization 2003 - Seattle, United States Duration: 19 Oct 2003 → 21 Oct 2003

Conference

Conference	IEEE Symposium on Information Visualization 2003
Country/Territory	United States
City	Seattle
Period	19/10/03 → 21/10/03

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/INFVIS.2003.1249030

Cite this

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title = "Using multilevel call matrices in large software projects",

abstract = "Traditionally, node link diagrams are the prime choice when it comes to visualizing software architectures. However, node link diagrams often fall short when used to visualize large graph structures. In this paper we investigate the use of call matrices as visual aids in the management of large software projects. We argue that call matrices have a number of advantages over traditional node link diagrams when the main object of interest is the link instead of the node. Matrix visualizations can provide stable and crisp layouts of large graphs and are inherently well suited for large multilevel visualizations because of their recursive structure. We discuss a number of visualization issues, using a very large software project currently under development at Philips Medical Systems as a running example.",

author = "{van Ham}, Frank",

year = "2003",

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language = "English",

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pages = "227--232",

editor = "T. Munzner and S. North",

booktitle = "Proceedings 9th Annual IEEE Symposium on Information Visualization (InfoVis 2003, Seattle WA, USA, October 19-21, 2003)",

publisher = "Institute of Electrical and Electronics Engineers",

address = "United States",

note = "IEEE Symposium on Information Visualization 2003 ; Conference date: 19-10-2003 Through 21-10-2003",

}

van Ham, F 2003, Using multilevel call matrices in large software projects. in T Munzner & S North (eds), Proceedings 9th Annual IEEE Symposium on Information Visualization (InfoVis 2003, Seattle WA, USA, October 19-21, 2003). Institute of Electrical and Electronics Engineers, Piscataway, pp. 227-232, IEEE Symposium on Information Visualization 2003 , Seattle, Washington, United States, 19/10/03. https://doi.org/10.1109/INFVIS.2003.1249030

Using multilevel call matrices in large software projects. / van Ham, Frank.
Proceedings 9th Annual IEEE Symposium on Information Visualization (InfoVis 2003, Seattle WA, USA, October 19-21, 2003). ed. / T. Munzner; S. North. Piscataway: Institute of Electrical and Electronics Engineers, 2003. p. 227-232.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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N2 - Traditionally, node link diagrams are the prime choice when it comes to visualizing software architectures. However, node link diagrams often fall short when used to visualize large graph structures. In this paper we investigate the use of call matrices as visual aids in the management of large software projects. We argue that call matrices have a number of advantages over traditional node link diagrams when the main object of interest is the link instead of the node. Matrix visualizations can provide stable and crisp layouts of large graphs and are inherently well suited for large multilevel visualizations because of their recursive structure. We discuss a number of visualization issues, using a very large software project currently under development at Philips Medical Systems as a running example.

AB - Traditionally, node link diagrams are the prime choice when it comes to visualizing software architectures. However, node link diagrams often fall short when used to visualize large graph structures. In this paper we investigate the use of call matrices as visual aids in the management of large software projects. We argue that call matrices have a number of advantages over traditional node link diagrams when the main object of interest is the link instead of the node. Matrix visualizations can provide stable and crisp layouts of large graphs and are inherently well suited for large multilevel visualizations because of their recursive structure. We discuss a number of visualization issues, using a very large software project currently under development at Philips Medical Systems as a running example.

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DO - 10.1109/INFVIS.2003.1249030

M3 - Conference contribution

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BT - Proceedings 9th Annual IEEE Symposium on Information Visualization (InfoVis 2003, Seattle WA, USA, October 19-21, 2003)

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CY - Piscataway

T2 - IEEE Symposium on Information Visualization 2003

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Using multilevel call matrices in large software projects

Abstract

Conference

UN SDGs

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