A methodology to automatically translate user requirements into visualizations: Experimental validation

Lavalle, Ana; Maté, Alejandro; Trujillo, Juan; Teruel, Miguel A.; Rizzi, Stefano

doi:10.1016/j.infsof.2021.106592

Cited by 7 publications

(5 citation statements)

References 25 publications

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“…Next is to analyze user needs and cross-check with the system to be developed. This step avoids duplication of user requirements with the system to be developed (Thomas, 2021), (Kifetew et al, 2021), (Lavalle et al, 2021).…”

Section: Methodology Explanationmentioning

confidence: 99%

Sustainability of Implementing Enterprise Architecture in the Solar Power Generation Manufacturing Industry

Hindarto

Indrajit

Dazki

2021

SinkrOn

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In recent years, Solar power plants are currently developed rapidly, where solar power plants don't cause environmental damage. This generator utilizes sunlight as its input source which environmentally friendly, when sunlight is converted into direct current and voltage that can be stored in batteries. Therefore, the solar energy industry needs to have high efficiency, competitive pricing, and durability. With the right information technologies and developing application systems, it can help to optimize business processes and integrating information systems. But the fact there are many industries that do not apply information technology correctly into their business. In this research, provide to the best solution for applying the enterprise architecture framework correctly. The purpose of this paper is to design a manufacturing industry information system that is in accordance with the business model canvas and enterprise architecture. The design also discusses the development of a large and integrated information system with other systems. The study of Business Model Canvas is a business model that can explain and focus on nine business aspects with a solid strategy. Studies of the ArchiMate core Framework is the framework used to classify elements of the ArchiMate core language. These two methods are expected to be able to design an enterprise information system architecture consisting of business architecture, application architecture, information architecture and technology architecture as a result of the study. The result is a more complete system design to meet system requirements for users, integrated with existing system modules and no system duplication occurs.

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Section: Methodology Explanationmentioning

confidence: 99%

Sustainability of Implementing Enterprise Architecture in the Solar Power Generation Manufacturing Industry

Hindarto

Indrajit

Dazki

2021

SinkrOn

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“…During the last five decades, there have been various efforts toward automating visualization type selection and recommending the best visualization type to the user [10], [19], [24]- [29]. In general, the approaches taken by these studies can be categorized into three main types: 1) Task-oriented, 2) Data-oriented, and 3) User-oriented.…”

Section: Visualization Recommendationmentioning

confidence: 99%

“…Moreover, to formulate a useful VA task, it is required to identify decision goals that the VA intends to support [29]. Decision goals can be identified from business processes and issues.…”

Section: Business Viewmentioning

confidence: 99%

Towards a framework for developing visual analytics in supply chain environments

Khakpour

Colomo‐Palacios

Martini

2023

IJISPM

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Visual Analytics (VA) has shown to be of significant importance for Supply Chain (SC) analytics. However, SC partners still have challenges incorporating it into their data-driven decision-making activities. A conceptual framework for the development and deployment of a VA system provides an abstract, platform-independent model for the whole process of VA, covering requirement specification, data collection and pre-processing, visualization recommendation, visualization specification and implementation, and evaluations. In this paper, we propose such a framework based on three main aspects: 1) Business view, 2) Asset view, and 3) Technology view. Each of these views covers a set of steps to facilitate the development and maintenance of the system in its context. The framework follows a consistent process structure that comprises activities, tasks, and people. The final output of the whole process is the VA as a deliverable. This facilitates the alignment of VA activities with business processes and decision-making activities. We presented the framework's applicability using an actual usage scenario and left the implementation of the system for future work.

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“…Similarly, the technique facilitates to explore and investigate the interesting insights of the datasets automatically and should be able to monitor these insights uninterruptedly. Automatic visual analysis can help to solve the issues of visualization aware data searching, cleaning, integration and visualization [136], [137], [138].…”

Section: ) Automatic Visual Analysismentioning

confidence: 99%

A Comprehensive State-of-the-Art Survey on Data Visualization Tools: Research Developments, Challenges and Future Domain Specific Visualization Framework

et al. 2022

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Data visualization is a powerful skill for the demonstration of meaningful data insights in an interactive and effective way. In this survey article, we collected 70 articles from last five years (2017)(2018)(2019)(2020)(2021)(2022) to identify, classify, and investigate the various scopes, aspects and theories of data visualization. We also investigated the powerful applications of data visualization in various domains and fields such as visualization apps for health sector, Internet of things (IoTs), business dashboards, urban traffic management, smart buildings and environmental data visualization. However, after thorough investigation and classification, we conclude that, a comprehensive study is still missing about interactive, effective and efficient data visualization survey explaining basic current state-of-the-art best interactive visualization techniques, webbased tools and platforms, best performance theories, data structures and algorithms. In this survey article, we perform a thorough investigation to fill the gap on theoretical, analytical, statistical models and techniques for improving the performance of visualization. Current primary and domain specific future challenges are also reviewed, and related future research directions and opportunities are recommended. 13 14 ''Interactive'' and ''Web-based'' are the most searched key-42 words during journals analysis process.43 A. TAXONOMY OF DATA VISUALIZATION ARTICLES 44 The taxonomy of data visualization is laborious task. Since, 45 several data visualization techniques, tools and platforms are 46 available to generate effective and interactive visualization. 47 However, in this survey, we classify data visualization with 48 respect to various scopes and applications where advanced 49 and interactive visualization techniques are still required to 50 make better informed decisions. In the first stage, this sur-51 vey collects 70 articles from last five years (2017-2022) 52 to identify the various scopes, aspects and application of 53 data visualization. We divide the 65 articles into 7 different 54 scopes. We also classify these articles according to their 55 domain research and approaches. The contribution of each 56 article has been highlighted and cited in the Table 1. In this 57 initial stage, this survey discusses the various aspects of 58 7 scopes. In Scope-1, the techniques to handling of various 59 types of data, graphs, colours interaction and its integration 60 are discussed. In Scope-2, the focus is on the data mining 61 networks, environment and structure. In Scope-3, the role of 62 decision-making techniques in data visualization is empha-63 sised. In Scope-4, data visualization for big data and its 64 emerging applications are analysed. Scope-5 shares the visu-65 alization competencies in data security. In Scope-6, the key 66 role of statistical analysis for visualization is explored. In the 67 final Scope-7, various applications are reviewed to check 68 the performance of visualization in specific domain. The 69 contribution of each sco...

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A methodology to automatically translate user requirements into visualizations: Experimental validation

Cited by 7 publications

References 25 publications

Sustainability of Implementing Enterprise Architecture in the Solar Power Generation Manufacturing Industry

Sustainability of Implementing Enterprise Architecture in the Solar Power Generation Manufacturing Industry

Towards a framework for developing visual analytics in supply chain environments

A Comprehensive State-of-the-Art Survey on Data Visualization Tools: Research Developments, Challenges and Future Domain Specific Visualization Framework

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