1,492 research outputs found
Sensemaking on the Pragmatic Web: A Hypermedia Discourse Perspective
The complexity of the dilemmas we face on an organizational, societal and global scale forces us into sensemaking activity. We need tools for expressing and contesting perspectives flexible enough for real time use in meetings, structured enough to help manage longer term memory, and powerful enough to filter the complexity of extended deliberation and debate on an organizational or global scale. This has been the motivation for a programme of basic and applied action research into Hypermedia Discourse, which draws on research in hypertext, information visualization, argumentation, modelling, and meeting facilitation. This paper proposes that this strand of work shares a key principle behind the Pragmatic Web concept, namely, the need to take seriously diverse perspectives and the processes of meaning negotiation. Moreover, it is argued that the hypermedia discourse tools described instantiate this principle in practical tools which permit end-user control over modelling approaches in the absence of consensus
Exploranative Code Quality Documents
Good code quality is a prerequisite for efficiently developing maintainable
software. In this paper, we present a novel approach to generate exploranative
(explanatory and exploratory) data-driven documents that report code quality in
an interactive, exploratory environment. We employ a template-based natural
language generation method to create textual explanations about the code
quality, dependent on data from software metrics. The interactive document is
enriched by different kinds of visualization, including parallel coordinates
plots and scatterplots for data exploration and graphics embedded into text. We
devise an interaction model that allows users to explore code quality with
consistent linking between text and visualizations; through integrated
explanatory text, users are taught background knowledge about code quality
aspects. Our approach to interactive documents was developed in a design study
process that included software engineering and visual analytics experts.
Although the solution is specific to the software engineering scenario, we
discuss how the concept could generalize to multivariate data and report
lessons learned in a broader scope.Comment: IEEE VIS VAST 201
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