Visualization of the Static Aspects of Software: A Survey

Caserta, Pierre; Zendra, Olivier

doi:10.1109/tvcg.2010.110

Cited by 113 publications

(70 citation statements)

References 151 publications

(165 reference statements)

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“…Caserta et al [14] classify architecture related approaches which involves visualizing relationships between software entities. Visualizing relationships in the software is a harder task because software entities can have a much larger number of relations of many kinds, such as inheritance, method calls, etc.…”

Section: Results Visualizationmentioning

confidence: 99%

Cooperative based software clustering on dependency graphs

Ibrahim

Rayside

Kashef

2014

2014 IEEE 27th Canadian Conference on Electrical and Computer Engineering (CCECE)

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The organization of software systems into subsystems is usually based on the constructs of packages or modules and has a major impact on the maintainability of the software. However, during software evolution, the organization of the system is subject to continual modication, which can cause it to drift away from the original design, often with the eect of reducing its quality.A number of techniques for evaluating a system's maintainability and for controlling the eort required to conduct maintenance activities involve software clustering. Software clustering refers to the partitioning of software system components into clusters in order to obtain both exterior and interior connectivity between these components. It helps maintainers enhance the quality of software modularization and improve its maintainability.

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Section: Results Visualizationmentioning

confidence: 99%

Cooperative based software clustering on dependency graphs

Ibrahim

Rayside

Kashef

2014

2014 IEEE 27th Canadian Conference on Electrical and Computer Engineering (CCECE)

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“…In fact, survey papers on software visualization exist, such as REV [18], software architecture visualization [35], and visualization of the static aspects of source code [15]. Our work complements this literature by providing with the users a VA framework for RE to compare different methods and by developing the tool enhancements in a principled way.…”

Section: Requirements Engineering Visualizationmentioning

confidence: 90%

Visual analytics for software requirements engineering

Reddivari

2013

2013 21st IEEE International Requirements Engineering Conference (RE)

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For many software projects, keeping requirements on track needs an effective and efficient path from data to decision. Visual analytics creates such a path that enables the human to extract insights by interacting with the relevant information. While various requirements visualization techniques exist, few have produced end-to-end values to practitioners. In this dissertation, we advance the literature on visual requirements analytics by characterizing its key components and relationships in a framework. We follow the goal-question-metric paradigm to define the framework by teasing out five conceptual goals (user, data, model, visualization, and knowledge), their specific operationalizations, and their interconnections. The framework allows us to not only assess existing approaches, but also create tool enhancements in a principled manner.We evaluate our enhanced tool supports both qualitatively and quantitatively. First, we evaluate our tool supports qualitatively through a case study where massive, heterogeneous, and dynamic requirements are processed, visualized, and analyzed. Working together with practitioners on a contemporary software project within its real-life context leads to the main ending that visual analytics can help tackle both open-ended visual exploration tasks and well-structured visual exploitation tasks in requirements engineering. In addition, the study helps the practitioners to reach actionable decisions in a wide range of areas relating to their project, ranging from theme and outlier identification, over requirements tracing, to risk assessment. Overall our work illuminates how the data-to-decision analytical capabilities could be improved by the increased interactivity of requirements visualization.Although many new visual analytics tools, techniques and methods are being developed, still there is a lack of understanding of how to evaluate the performance of such tools. We conducted an experiment to assess the performance (time and correctness) of our visual analytics tool support in solving requirements engineering tasks. Our study provides initial evidence and insights for visual analytics in requirements engineering and sheds light on many challenging open questions.

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“…They model the standard artifacts such that it highlights the design of the software. The tools that [4]. Tools that relate to our work based on above mentioned techniques include: Metric View, Polymetric Views, SolidFX, CodeCity, Codstruction, X-Ray and NDepend.…”

Section: Related Workmentioning

confidence: 99%

SourceViz: A Tool for Supporting Software Metrics Visualization

Ilyas¹,

Bilal²,

Tariq³

et al. 2017

IJIEEB

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Abstract-Maintaining and understanding large software systems is a complex and time consuming process. Understanding the internal structure of such systems is not an easy task due to the invisible nature of software. Source Code Visualization, i.e. measuring the code metrics and then visualizing them, provides an efficient solution to this problem. There are many tools available which gives an insight to the internal structure of the software. But all of them don"t provide visualizations of hierarchical relationships and code complexity of the source code. In this paper, we present a tool named "SourceViz". This application computes different software metrics, code complexity, class-relations and then visualizes the calculated metrics in different metaphors. This visual analysis assists the project managers and software developers in understanding the static structure of the software by presenting project-level as well as class-level view.

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Visualization of the Static Aspects of Software: A Survey

Cited by 113 publications

References 151 publications

Cooperative based software clustering on dependency graphs

Cooperative based software clustering on dependency graphs

Visual analytics for software requirements engineering

SourceViz: A Tool for Supporting Software Metrics Visualization

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