Visualizing constituent behaviors within executions

Palepu, Vijay Krishna; Jones, James A.

doi:10.1109/vissoft.2013.6650537

Cited by 8 publications

(9 citation statements)

References 11 publications

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“…An agent retries by selecting one of the alternatives, evaluating the selection, and again discarding incorrect selections. The hypergeometric distribution [40] in (13) can describe this process.…”

Section: Sabmde Resource Utilizationmentioning

confidence: 99%

“…The models are qualitative; it is difficult to apply them objectively and consistently. Many quantitative function-and/or phase-specific sub-models exist: software reliability growth modes (SRGM) [11], technical debt [12], run-time behavior extraction [13,14], and more. However, the sub-models typically measure output from an existing system.…”

Section: Introductionmentioning

confidence: 99%

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Development Cycle Modeling: Resource Estimation

et al. 2020

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This paper presents results produced by a domain-independent system development model that enables objective and quantitative calculation of certain development cycle characteristics. The presentation recounts the model’s motivation and includes an outline of the model’s structure. The outline shows that the model is constructive. As such, it provides an explanatory mechanism for the results that it produces, not just a representation of qualitative observations or measured data. The model is a Statistical Agent-based Model of Development and Evaluation (SAbMDE); and it appears to be novel with respect to previous design theory and methodology work. This paper focuses on one development cycle characteristic: resource utilization. The model’s resource estimation capability is compared to Boehm’s long-used software development estimation techniques. His Cone of Uncertainty (COU) captures project estimation accuracy empirically at project start but intuitively over a project’s duration. SAbMDE calculates estimation accuracy at start up and over project duration; and SAbMDE duplicates the COU’s empirical values. Additionally, SAbMDE produces results very similar to the Constructive Cost Model (COCOMO) effort estimation for a wide range of input values.

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Section: Sabmde Resource Utilizationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Development Cycle Modeling: Resource Estimation

et al. 2020

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“…The paper [9] describes the original brain metaphor, which is used for animated representation of a parallel program performance. The idea of visualizing brain activity when presenting it with some stimuli is transferred onto a program or an application's performance visualization (activating procedures and functions, input/output, etc.).…”

Section: Fairy Tales and Science Fiction As A Source For Metaphorsmentioning

confidence: 99%

Sources of Computer Metaphors for Visualization and Human-Computer Interaction

Averbukh¹

2020

Cognitive and Intermedial Semiotics

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This chapter is devoted to finding sources for metaphors of computer visualization and human-computer interaction. Computer metaphor is considered the basic idea for the development of interfaces, visualization views, and scenarios of visualization and interaction. Global metaphors map the main design idea. These ideas depend on global events and changes in society, art, and science. In the "precomputer" era, such ideas formed the basics of cartography, engineering drawings, and drawing function graphs on the Cartesian plane. When designing visualization and interactive systems, computer metaphors use "magic features" beside analogies with daily life. Nowadays ideas of visualization are often based on "gamification." This approach presupposes creating tools that provide software engineers with an interface similar to that of computer games. In this chapter, ideas drawn upon fairy tales, science fiction books, fantasy films, and other similar spheres are considered as sources of computer metaphors. Such metaphors are very interesting when designing visualization systems based on virtual reality.

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“…We note that in the literature, matrix-based and hybrid approaches are also successfully applied to software visualization, e.g., (van Ham, 2003;Rufiange et al, 2012;Abuthawabeh et al, 2013;Rufiange and Melançon, 2014). There are several previous papers that employ force-based graph layout algorithms to visualize graphs derived from software projects (Collberg et al, 2003;Beyer, 2005;Palepu and Jones, 2013). Some approaches apply clustering methods or use hierarchical information to indicate grouping patterns either by color or by spatial grouping.…”

Section: Related Workmentioning

confidence: 99%

Software Visualization via Hierarchic Micro/Macro Layouts

Nöllenburg

Rutter

Schuhmacher³

2016

Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications

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We propose a system for visualizing the structure of software in a single drawing. In contrast to previous work we consider both the dependencies between different entities of the software and the hierarchy imposed by the nesting of classes and packages. To achieve this, we generalize the concept of micro/macro layouts introduced by Brandes and Baur (Baur and Brandes, 2008) to graphs that have more than two hierarchy levels. All entities of the software (e.g., attributes, methods, classes, packages) are represented as disk-shaped regions of the plane. The hierarchy is expressed by containment, all other relations, e.g., inheritance, functions calls and data access, are expressed by directed edges. As in the micro/macro layouts of Brandes and Baur, edges that "traverse" the hierarchy are routed together in channels to enhance the clarity of the layout. The resulting drawings provide an overview of the coarse structure of the software as well as detailed information about individual components.

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Visualizing constituent behaviors within executions

Cited by 8 publications

References 11 publications

Development Cycle Modeling: Resource Estimation

Development Cycle Modeling: Resource Estimation

Sources of Computer Metaphors for Visualization and Human-Computer Interaction

Software Visualization via Hierarchic Micro/Macro Layouts

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