Visual languages: A graphical review

Costagliola, Gennaro; Rosa, Mattia De; Fuccella, Vittorio; Perna, Stefano

doi:10.1177/1473871617714520

Cited by 9 publications

(6 citation statements)

References 38 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Three surveys (Costagliola et al, 2018; Federico et al, 2017; Kucher & Kerren, 2015) highlight the emerging importance of using meaningful visual representations for improving the sharing of publications' metadata within scientific communities.…”

Section: Related Workmentioning

confidence: 99%

Assisting researchers in bibliographic tasks: A new usable, real‐time tool for analyzing bibliographies

Dattolo

Corbatto

2021

Asso for Info Science & Tech

View full text Add to dashboard Cite

The amount of scientific papers is growing together with the development of science itself; but, although there is an unprecedented availability of large citation indexes, some daily activities of researchers remain time-consuming and poorly supported. In this paper, we present Visual Bibliographies (VisualBib), a real-time visual platform, designed using a zz-structure-based model for linking metadata and a narrative, visual approach for showing bibliographies. VisualBib represents a usable, advanced, and visual tool, which simplifies the management of bibliographies, supports a core set of bibliographic tasks, and helps researchers during complex analyses on scientific bibliographies. We present the variety of metadata formats and visualization methods, proposing two use case scenarios. The maturity of the system implementation allowed us two studies, for evaluating both the effectiveness of VisualBib in providing answers to specific data analysis tasks and to support experienced users during real-life uses. The results of the evaluation are positive and describe an effective and usable platform.

show abstract

Section: Related Workmentioning

confidence: 99%

Assisting researchers in bibliographic tasks: A new usable, real‐time tool for analyzing bibliographies

Dattolo

Corbatto

2021

Asso for Info Science & Tech

View full text Add to dashboard Cite

show abstract

“…All of them declared medium or high knowledge of parsers (they all had attended a course of compilers for their master's degree), all except one declared a medium or high knowledge of IntelliJ IDEA. 6 Eleven of them also had a medium or high knowledge of its debugging environment. Lastly, eleven of them had a medium or high ability to read and interpret the log file of CUP parser generator.…”

Section: Participantsmentioning

confidence: 99%

“…We have used PARVIS to visualize the behavior of many parsers, in particular, LR, GLRbased and top-down parsers for visual languages (VL parsers, in short), derived by both hypergraph [10] and positional grammars [9], and LALR(1) parsers as generated by the well-known parser generator CUP [36]. In the case of VL parsers (a significant part of VL research in the last 25 years [6]), the system has been used to help researchers in having useful feedbacks while building the corresponding parser generators. In the LALR case, the system has been used to help students to better understand how LALR parsing works and to have insights on the correctness of both the grammar they are writing and its input.…”

Section: Introductionmentioning

confidence: 99%

Visual exploration of visual parser execution

Costagliola

Rosa

Fuccella

et al. 2021

Multimed Tools Appl

Self Cite

View full text Add to dashboard Cite

In this paper, we present ParVis, an interactive visual system for the animated visualization of logged parser trace executions. The system allows a parser implementer to create a visualizer for generated parsers by simply defining a JavaScript module that maps each logged parser instruction into a set of events driving the visual system interface. The result is a set of interacting graphical/text windows that allows users to explore logged parser executions and helps them to have a complete understanding of how the parser behaves during its execution on a given input. We used our system to visualize the behavior of textual as well as visual parsers and describe here two of these uses. Moreover, in order to validate the efficacy of our system, we ran a user experiment where students analyzed a CUP-generated parser both with ParVis, instantiated to LALR parsers, and the standard CUP debug facilities. The results show that students can indeed analyze parser behavior and find mistakes in parser specifications more easily and quickly using ParVis. In particular, in some parser design tasks, using ParVis participants achieved a higher success rate of 50% in 42% less time with respect to the baseline system.

show abstract

“…Parser generators make building string parsers a simple task [26,23,14]. A significant part of the research on visual languages in the last 25 years [5] has focused on the study of their semantics and the possibility to specify them in a formal way, also for use in visual programming languages. Researchers have therefore tried to analyze them using approaches similar to those used for strings, but with less success than in the string domain [22].…”

Section: Introductionmentioning

confidence: 99%

Visualizing Visual Parser Execution

Costagliola

Rosa

Minas

2020

International Conferences on Distributed Multimedia Systems

Self Cite

View full text Add to dashboard Cite

Parsing of visual structures like diagrams and graphs is more complicated than parsing strings. This is so because visual structures are inherently more complex than strings, because visual grammars are more difficult to write than string grammars, and because the algorithms for parsing visual structures are usually more complicated than for parsing strings. The developer of a visual parser, therefore, needs more tool support than a developer of a string parser. In fact, developing and debugging a visual parser without proper visualization of the parsing process is very challenging. This paper describes a visualization approach that arose from this need. Its main focus is on the interaction of the developer with the visualization tool in order to explore the execution process of the parser. It has evolved from experiences with developing and debugging parsers by applying different visual parsing methods. In order to better describe it we introduce a concrete example.

show abstract

Visual languages: A graphical review

Cited by 9 publications

References 38 publications

Assisting researchers in bibliographic tasks: A new usable, real‐time tool for analyzing bibliographies

Assisting researchers in bibliographic tasks: A new usable, real‐time tool for analyzing bibliographies

Visual exploration of visual parser execution

Visualizing Visual Parser Execution

Contact Info

Product

Resources

About