VISON: An Ontology-Based Approach for Software Visualization Tool Discoverability

Merino, Leonel; Kozlova, E.; Nierstrasz, Oscar; Weiskopf, Daniel

doi:10.1109/vissoft.2019.00014

Cited by 8 publications

(4 citation statements)

References 104 publications

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“…There is an extensive body of work related to the program visualization (Stasko et al 1998;Ware 2000;Spence 2001;von Landesberger et al 2011;Caserta & Zendra 2011;Merino et al 2019). Kienle and Müller (Kienle & Müller 2010) present requirements for reverse engineering tools and their evaluation.…”

Section: Visualizationsmentioning

confidence: 99%

Understanding Class Name Regularity: A Simple Heuristic and Supportive Visualization.

Agouf¹,

Ducasse²,

Etien³

et al. 2022

JOT

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Studies have shown that more than 50% of software maintenance time is spent reading code to understand it. This puts a strong emphasis on the understandability of source code. Class names constitute one of the first pieces of information developers have access to. Proposal: To assist developers in understanding the logic and regularity of class names, we present a new and simple visualization, called ClassName Distribution. It brings together package and inheritance as structural perspectives on class names. ClassName Distribution allows one to spot naming irregularities in large hierarchies scattered over multiple packages. Validation: We show (1) how this visualization helps capture recurrent patterns relative to concept reference in class names and ( 2) that this visualization supports the evolution of software systems by monitoring and guiding class renamings over multiple versions. To evaluate our approach we did a consequent assessment with real practitioners and open-source software structured in two different setups: in the first one, we asked domain experts to use the visualization: three groups of engineers applied our tool to the the software they develop or maintain. They proposed and performed respectively 91, 68, and 24 class renamings. In the second setup, as authors of the visualization and the tool (visualization experts), we applied our tool to a new UI framework for Pharo. We sent 34 pull requests for renaming classes and 32 were accepted. Finally, we applied our visualizations to 50 Java projects and identified visual patterns in most of them. Consequently, it shows that the proposed visualization is effective for spotting class name inconsistencies, and this by both developers of the system and external persons.The visualization presented in this article has been designed with colors, therefore the paper should be printed using an adequate medium or be read digitally.

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Section: Visualizationsmentioning

confidence: 99%

Understanding Class Name Regularity: A Simple Heuristic and Supportive Visualization.

Agouf¹,

Ducasse²,

Etien³

et al. 2022

JOT

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“…Each tool is classified by: (i) Tool Names, (ii) References, (iii) Citation count 7 , (iv) Software aspects (SoftVis), (v) Software engineering process (i. (ix) Available code, We think our list of available software visualization tools can offer a suitable complement to previous studies (Merino et al, 2019), and represent a means for practitioners who are willing to adopt software visualizations.…”

Section: Classification By Toolsmentioning

confidence: 99%

A Systematic Literature Review of Modern Software Visualization

Chotisarn,

Merino,

Zheng

et al. 2020

Preprint

Self Cite

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We report on the state-of-the-art of software visualization. To ensure reproducibility, we adopted the Systematic Literature Review methodology. That is, we analyzed 1440 entries from IEEE Xplore and ACM Digital Library databases. We selected 105 relevant full papers published in 2013-2019, which we classified based on the aspect of the software system that is supported (i.e., structure, behavior, and evolution). For each paper, we extracted main dimensions that characterize software visualizations, such as software engineering tasks, roles of users, information visualization techniques, and media used to display visualizations. We provide researchers in the field an overview of the state-of-the-art in software visualization and highlight research opportunities. We also help developers to identify suitable visualizations for their particular context by matching software visualizations to development concerns and concrete details to obtain available visualization tools.

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“…In the realm of ontological sensemaking, "visual compactness" is a major bottleneck and an unsolvable issue [1]. For the verification of the suggested conceptualizations, visualization is a must.…”

Section: Introductionmentioning

confidence: 99%

Ontology specific visual canvas generation to facilitate sense-making-an algorithmic approach

Vidanage

Noor

Mohemad

et al. 2022

IJECE

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Ontologies are domain-specific conceptualizations that are both human and machine-readable. Due to this remarkable attribute of ontologies, its applications are not limited to computing domains. Banking, medicine, agriculture, and law are a few of the non-computing domains, where ontologies are being used very effectively. When creating ontologies for non-computing domains, involvement of the non-computing domain specialists like bankers, lawyers, farmers become very vital. Hence, they are not semantic specialists, particularly designed visualization assistance is required for the ontology schema verifications and sense-making. Existing visualization methods are not fine-tuned for non-technical domain specialists and there are lots of complexities. In this research, a novel algorithm capable of generating domain specialists’ friendlier visualization canvas has been explored. This proposed algorithm and the visualization canvas has been tested for three different domains and overall success of 85% has been yielded.

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VISON: An Ontology-Based Approach for Software Visualization Tool Discoverability

Cited by 8 publications

References 104 publications

Understanding Class Name Regularity: A Simple Heuristic and Supportive Visualization.

Understanding Class Name Regularity: A Simple Heuristic and Supportive Visualization.

A Systematic Literature Review of Modern Software Visualization

Ontology specific visual canvas generation to facilitate sense-making-an algorithmic approach

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