On Evaluating the Layout of UML Class Diagrams for Program Comprehension

Sun, Daewon; Wong, Kenny

doi:10.1109/wpc.2005.26

Cited by 18 publications

(4 citation statements)

References 20 publications

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“…Since trees are planar, it is possible to create layouts without crossings, justifying the first constraint (C1). Overlapping labels detract from readability and are often a metric for the usability of the labeled network layouts [32,51]. This supports the second constraint (C2).…”

Section: Introductionsupporting

confidence: 57%

“…This property is also needed in the final step of creating map-like visualization: semantic zooming depends on linearly increasing edge lengths. Uniform edge lengths (a special case where all desired edge lengths are the same) are preferable in cases where all edges represent the same notion of connectivity [46,51]. These reasons validate the first optimization goal (O1).…”

Section: Introductionmentioning

confidence: 81%

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Visualizing Evolving Trees

Gray

Ahmed

et al. 2023

Lecture Notes in Computer Science

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Large tree structures are ubiquitous and real-world relational datasets often have information associated with nodes (e.g., labels or other attributes) and edges (e.g., weights or distances) that need to be communicated to the viewers. Yet, scalable, easy to read tree layouts are difficult to achieve. We consider tree layouts to be readable if they meet some basic requirements: node labels should not overlap, edges should not cross, edge lengths should be preserved, and the output should be compact. There are many algorithms for drawing trees, although very few take node labels or edge lengths into account, and none optimizes all requirements above. With this in mind, we propose a new scalable method for readable tree layouts. The algorithm guarantees that the layout has no edge crossings and no label overlaps, and optimizes one of the remaining aspects: desired edge lengths and compactness. We evaluate the performance of the new algorithm by comparison with related earlier approaches using several real-world datasets, ranging from a few thousand nodes to hundreds of thousands of nodes. Tree layout algorithms can be used to visualize large general graphs, by extracting a hierarchy of progressively larger trees. We illustrate this functionality by presenting several map-like visualizations generated by the new tree layout algorithm.

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Section: Introductionsupporting

confidence: 57%

Section: Introductionmentioning

confidence: 81%

Visualizing Evolving Trees

Gray

Ahmed

et al. 2023

Lecture Notes in Computer Science

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show abstract

“…software engineering data has been done in a myriad of ways including with UML diagrams [SW05], treemaps [RVET14], tabular visualizations [ESS92], icicle plots [CCeT * 12], and multiple coordinated views [CCeT * 12, RVET14]. Adjacency matrices, though less common, have been used to compare the hierarchies of two different systems [BD13].…”

Section: Visualizingmentioning

confidence: 99%

The State of the Art in Visualizing Multivariate Networks

Nobre

Meyer

Streit

et al. 2019

Computer Graphics Forum

122

112

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Multivariate networks are made up of nodes and their relationships (links), but also data about those nodes and links as attributes. Most real‐world networks are associated with several attributes, and many analysis tasks depend on analyzing both, relationships and attributes. Visualization of multivariate networks, however, is challenging, especially when both the topology of the network and the attributes need to be considered concurrently. In this state‐of‐the‐art report, we analyze current practices and classify techniques along four axes: layouts, view operations, layout operations, and data operations. We also provide an analysis of tasks specific to multivariate networks and give recommendations for which technique to use in which scenario. Finally, we survey application areas and evaluation methodologies.

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“…In a study about visualizations for software exploration, Storey et al [28] name the reduction of user effort in adjusting interfaces as an important design element. Guidelines for UML class diagrams [37], [38] recommend to avoid edge crossings or overlapping nodes, to support users in recognizing the presented objects.…”

Section: Where Does This Connect? Clarifying Edgesmentioning

confidence: 99%

How Does This New Developer Test Fit In? A Visualization to Understand Amplified Test Cases

Brandt

Zaidman

2022

2022 Working Conference on Software Visualization (VISSOFT)

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Developer testing, the practice of software engineers programmatically checking that their own components behave as they expect, has become the norm in today's software projects. With the constantly growing size and complexity of software projects and with the rise of automated test generation tools, understanding a test case is becoming more and more important compared to writing test cases from scratch.This holds especially in the area of developer-centric test amplification, where a tool automatically generates new test cases to improve a developer-maintained test suite. To investigate how visualization can help developers understand and judge test cases, we present the TESTIMPACTGRAPH, a visualization of the call tree and coverage impact of a JUnit test case proposed for amplification. It empowers the developer to drill down into the behavior of a test case, as well as providing them a clear view on how the proposed test case contributes to the coverage of the overall test suite. In a think-aloud study we investigate which information developers seek from the TESTIMPACTGRAPH, how its features can support them in accessing this information, and observations regarding the coverage impact of test cases. We infer ten actionable recommendations on how developer tests can be visualized to help developers understand their behavior and impact.

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On Evaluating the Layout of UML Class Diagrams for Program Comprehension

Abstract: Abstract

Cited by 18 publications

References 20 publications

Visualizing Evolving Trees

Visualizing Evolving Trees

The State of the Art in Visualizing Multivariate Networks

How Does This New Developer Test Fit In? A Visualization to Understand Amplified Test Cases

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