Complex Systems: On Design and Architecture of Adaptable Dashboards

Strugar, Dragos

doi:10.1007/978-3-030-29852-4_14

Cited by 4 publications

(6 citation statements)

References 23 publications

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“…Adaptable dashboards enable the selection of the most appropriate metrics and use them in a structured way. In this way, by adapting the interface to the user interaction, relevant information for each user is displayed when needed [56]. These adaptability features are implemented in a general dashboard interface to transform the way data is displayed and improve users' decisionmaking.…”

Section: Adaptationmentioning

confidence: 99%

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Design of an adaptable dashboard for smart cities

Contreras-Figueroa¹,

Montané-Jiménez²,

García³

et al. 2023

Proceedings of ISP RAS

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Today there are smart cities that, through the use of information technologies, sensors, and specialized infrastructure, focus their efforts on improving the quality of life of their inhabitants. From these efforts arose the need to analyze and represent data within a system to make it useful and understandable to people, for which dashboards emerge. The objective of these systems is to provide users with information to support decision-making, so it is essential to adapt the visualization of the information provided to their needs and preferences. However, the analysis of adaptability through user interaction and its benefits is a topic still under exploration. This paper analyzes the literature on information visualization in adaptable dashboards for smart cities. Based on the elements of adaptable dashboards identified in the literature review, we propose an adaptable dashboard architecture, identify the main characteristics of the users of a smart city dashboard, and build an adaptable dashboard prototype using user-centered techniques.

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Section: Adaptationmentioning

confidence: 99%

“…As a starting point for designing adaptability within the dashboard, we considered the contributions of Strugar [56] and Young [50]. In their work, they mention that there is a set of key questions to consider in the design of a dashboard: 1) What metrics does the user need to visualize?…”

Section: Adaptable Dashboard Developmentmentioning

confidence: 99%

Design of an adaptable dashboard for smart cities

Contreras-Figueroa¹,

Montané-Jiménez²,

García³

et al. 2023

Proceedings of ISP RAS

View full text Add to dashboard Cite

show abstract

“…• Burn-Down Charts (P4): Burn-down charts are visual representations of the remaining work or backlog over time. 94 They are commonly used in agile development to track progress and help the team stay on track. Burn-down charts align with continuous monitoring as they provide insights into the progress of work.…”

Section: Validation Responsesmentioning

confidence: 99%

Multicriteria decision‐making–based framework for implementing DevOps practices: A fuzzy best–worst approach

Kumar,

Nadeem,

Shameem

2023

J Software Evolu Process

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Increasingly, software organizations are implementing DevOps culture to benefit from it in terms of continuous testing, delivery, improvement, and so forth. Implementing DevOps is difficult due to a lack of understanding about the practices and their effective application for its effective implementation. This paper aims to explore different DevOps practices that can be implemented in software organizations. The study involves conducting a systematic literature review (SLR) to identify DevOps implementation practices, followed by the utilization of the fuzzy best–worst method (FBWM) to establish a taxonomy or classification of software practices. We have used an SLR to investigate the practices, and subsequently, the survey method was followed to validate the identified practices. Moreover, the best–worst method (BWM) was considered to evaluate the significance and develop the taxonomy of the practices. The results of this study extracted 19 practices that have been identified in the SLR process. The identified factors are further classified into six core DevOps lifecycle phases. The results of the BWM approach are shown. The outcomes of the study conclude that the proposed taxonomy of the practices could help DevOps practitioners and researchers effectively implement them in software development organizations.

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“…A popular approach is creating a preconfigured dashboard for every new user, as used in Belo et al (2014) and Kintz, Kochanowski & Koetter (2017). This approach, while being straightforward, often serves as a solid starting point Strugar (2020) and Strugar (2019). Researchers also refer to this method as precooked dashboards, noted by Ivanov et al (2018).…”

Section: Rq2: Which Factors Should Be Taken Into Account When Designing Tailoring Capabilities Specifically For Performance Dashboards (Rmentioning

confidence: 99%

Tailored performance dashboards—an evaluation of the state of the art

Kruglov

Strugar

Succi

2021

PeerJ Computer Science

Self Cite

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Context Tailoring mechanisms allow performance dashboards to vary their appearance as a response to changing requirements (e.g., adapting to multiple users or multiple domains). Objective We analyze existing research on tailored dashboards and investigate different proposed approaches. Methodology We performed a systematic literature review. Our search processes yielded a total of 1,764 papers, out of which we screened 1,243 and ultimately used six for data collection. Results Tailored dashboards, while being introduced almost thirty years ago, did not receive much research attention. However, the area is expanding in recent years and we observed common patterns in novel tailoring mechanisms. Since none of the existing solutions have been running for extended periods of time in real-world scenarios, this lack of empirical data is a likely cause of vaguely described research designs and important practical issues being overlooked. Implications Based on our findings we propose types of tailoring mechanisms taking into account the timing and nature of recommendations. This classification is grounded in empirical data and serves as a step ahead to a more unifying way of looking at tailoring capabilities in the context of dashboards. Finally, we outline a set of recommendations for future research, as well as a series of steps to follow to make studies more attractive to practitioners.

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Complex Systems: On Design and Architecture of Adaptable Dashboards

Cited by 4 publications

References 23 publications

Design of an adaptable dashboard for smart cities

Design of an adaptable dashboard for smart cities

Multicriteria decision‐making–based framework for implementing DevOps practices: A fuzzy best–worst approach

Tailored performance dashboards—an evaluation of the state of the art

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