3D representations for software visualization

Marcus, Andrian; Liu, Feng; Maletic, Jonathan I.

doi:10.1145/774834.774837

Cited by 73 publications

(39 citation statements)

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“…They have been first applied to large structured sets of digital and textual information (Shneiderman, 1992;Lamping et al, 1995), then, to visual or multimedia documents (Robertson et al, 1998) and large software systems (Marcus et al, 2003). They can be classified into two main categories according to their principal objective, namely, to provide users with a global view of the current data set that (i) either enhances some data properties which structure the set (most often, hierarchically) or (ii) magnifies the item currently focused on by the user while maintaining sufficient context for them not to get ''lost" during data exploration.…”

Section: Multi-scale Interactive Visualisationsmentioning

confidence: 99%

Visual search in dynamic 3D visualisations of unstructured picture collections

Christmann

Carbonell

Richir

2010

Interacting with Computers

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a b s t r a c tWe present two empirical studies of visual search in dynamic 3D visualisations of large, randomly ordered, photo collections. The aim is to assess the possible effects of geometrical distortions on visual search effectiveness, efficiency and comfort, by comparing the influence of two perspective representations of photo collections on participants' performance results and subjective judgments. Thumbnails of the 1000 or so photographs in each collection are plastered on the lateral surface of a vertical cylinder, either on the inside (inner view, IV) or on the outside (outer view, OV). IV and OV suggest two different interaction metaphors: locomotion in a virtual space (IV) versus manipulation of a virtual object (OV). They also implement different perspective distortions: enlargement and distortion of lateral columns (IV) versus enlargement of central columns and dwindling plus distortion of lateral columns (OV). Presentation of results focus on the second study, S2, which involved 20 participants and offered them strictly identical interaction facilities with the two views, unlike the initial pilot study, S1 (8 participants and slightly different interaction facilities between the two views).Participants in both studies were experienced computer users (average age: 25.15 years, SD: 3.13). They performed two types of basic visual tasks that are carried out repeatedly while navigating photo collections: (i) searching for a photo meeting specific, visual and thematic, criteria, the photo and its location in the collection being unknown to participants (ST1) and (ii) looking for a visually familiar photo, the location of the photo being familiar to participants (ST2).According to post-experiment questionnaires and debriefings, all participants in S2 save one judged both 3D views positively in reference to standard 2D visualisations. Half of them preferred IV over OV, four appreciated OV better, and six expressed no clear opinion. Preferences were mainly motivated by the effects of perspective distortions on thumbnail visibility. They were barely influenced by interaction metaphors (e.g., the feeling of immersion induced by IV).Despite large inter-individual differences in performance, a majority of participants carried out ST1 tasks more effectively and efficiently with IV than with OV, as regards error rates (statistically significant difference) and search times (tendency). Performance results for ST2 tasks were similar with the two views, due, probably, to the simplicity and brevity of ST2 tasks. Perspective distortions seem to have exerted less influence on participants' visual strategies than horizontal scrolling, a dynamic feature common to both views. Qualitative analyses of participants' behaviours suggest that IV has the potential to support spatial memory better than OV, presumably thanks to the locomotion metaphor.These results indicate that perspective views have the potential to facilitate and improve visual search in unstructured picture collections provided that distortions are adapted ...

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Section: Multi-scale Interactive Visualisationsmentioning

confidence: 99%

Visual search in dynamic 3D visualisations of unstructured picture collections

Christmann

Carbonell

Richir

2010

Interacting with Computers

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“…Interesting three-dimensional techniques have also been proposed to visualize static aspects of software systems. [15][16][17] However, the changing behavior of large, complex distributed systems may be more difficult to translate into a natural three-dimensional metaphor. Also, in designing Streamsight, we wanted to avoid requiring specialized visualization hardware.…”

Section: Replaying Timementioning

confidence: 99%

Visualizing Large-Scale Streaming Applications

Pauw

Andrade

2009

Information Visualization

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Stream processing is a new and important computing paradigm. Innovative streaming applications are being developed in areas ranging from scientific applications (for example, environment monitoring), to business intelligence (for example, fraud detection and trend analysis), to financial markets (for example, algorithmic trading systems). In this paper we describe Streamsight, a new visualization tool built to examine, monitor and help understand the dynamic behavior of streaming applications. Streamsight can handle the complex, distributed and large-scale nature of stream processing applications by using hierarchical graphs, multi-perspective visualizations, and de-cluttering strategies. To address the dynamic and adaptive nature of these applications, Streamsight also provides real-time visualization as well as the capability to record and replay. All these features are used for debugging, for performance optimization, and for management of resources, including capacity planning. More than 100 developers, both inside and outside IBM, have been using Streamsight to help design and implement large-scale stream processing applications.

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“…In [15] the line-based technique is applied to system entities instead of code lines and evolution spectrographs are generated, which give a more global impression of the evolution of a system. In [5] the metaphor is extended to 3D to enlarge the number of visualized information.…”

Section: Related Workmentioning

confidence: 99%

Evolution analysis with animated and 3D-visualizations

Wenzel

Koch

Kelter

et al. 2009

2009 IEEE International Conference on Software Maintenance

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Large software systems typically exist in many revisions. In order to analyze such systems, their evolution needs to be analyzed, too. The main challenge in this context is to cope with the large volume of data and to visualize the system and its evolution as a whole. This paper presents an approach for visualizing the evolution of large-scale systems which uses three different, tightly integrated visualizations that are 3-dimensional and/or animated and which support different analysis tasks. According to a first empirical study, all tasks are supported well by at least one visualization.

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3D representations for software visualization

Cited by 73 publications

References 0 publications

Visual search in dynamic 3D visualisations of unstructured picture collections

Visual search in dynamic 3D visualisations of unstructured picture collections

Visualizing Large-Scale Streaming Applications

Evolution analysis with animated and 3D-visualizations

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