Topic
User story
About: User story is a research topic. Over the lifetime, 1078 publications have been published within this topic receiving 23717 citations.
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27 Jan 2017
TL;DR: In this article, a process called learner experience design (LXD) is used to create good learner experiences in digital language learning products, which can be described as archetypes of the people who will be using the product or service.
Abstract: Good learner experience in digital learning products can be created through a process called learner experience design (LXD): product design directed toward learners. The English language teaching (ELT) industry and profession is at a fascinating point in its response to the digital revolution. A number of venture capital-funded educational technology companies from outside ELT are, to some extent, filling the void. Many digital language learning products, from simple apps to sophisticated learning management systems, seem to have taken their cue from the TV remote control. The application of User Experience (UX) design principles and processes has the potential not only to improve the UX of digital language learning products, but also to improve the overall learner experience. User personas are archetypes of the people who will be using the product or service. User journeys describe how the user will interact with the product or service — in other words, how the user stories will be carried out in practice.
1 citations
01 Jan 2018
TL;DR: The notion of a data warehouse user story is developed and its difference with user stories of Scrum is brought out and a model-driven approach is presented using which it is possible to build data warehouseuser stories.
Abstract: Since data warehouse projects are large and complex, this chapter proposes an agile technique for data warehouse development. The notion of a data warehouse user story is developed and its difference with user stories of Scrum is brought out. A model-driven approach is presented using which it is possible to build data warehouse user stories. In this model, a decision-making application is seen at three levels. Agility involves obtaining a vertical slice across these levels and thereby defining a requirements granule. A granule is implemented as a data warehouse fragment. The issue of consolidating data warehouse fragments is considered thereafter and an approach to consolidation is formulated. It is proposed that consolidation of requirements granules should be done and therefore, the consolidation process is a part of the requirements engineering process. The chapter ends with a description of the tool support that is provided.
1 citations
14 Oct 2020
TL;DR: In this article, the authors used user stories to estimate the size of healthcare projects using machine learning techniques and reported accuracy, precision, recall and recall of the user stories with machine learning algorithms such as Naive Bayes, Logistic Regression, Decision Tree.
Abstract: Healthcare diseases diagnoses projects often exceed schedules and budgets due to the complication and their large size. Project planning and estimation are exclusively challenging in large and globally distributed projects. Agile with machine learning techniques can overcome these challenges of healthcare projects largely. The purpose of this study is to estimate efforts in large-scale healthcare projects using user story point with machine learning technique. Will be using user stories to estimates the size of Healthcare projects. The templates of user stories: As a [user or destination], I [want to some goal] so that [the goal can be achieved]. According to Bill Wake a good user story must have INVEST acronym. To predict accuracy of machine learning algorithms such as Naive Bayes, Decision Tree, Logistic Regression cancer patient dataset has used. Writing user stories for healthcare is an easy way to maintain the requirements for an agile project. Agile model in healthcare has used to maintain the effectiveness by adopting the frequently changing demand of the customers. This research paper work on cancer diseases and will provide accuracy, precision, recall using machine learning algorithms such as naive Bayes, logistic regression, Decision Tree.
1 citations
01 Jan 2016
TL;DR: In diesem Paper werden abstrakte Requirements-Engineering-Methoden zur Verbesserung der Kommunikation, VisualUser-Stories vorgestellt and in einem Praxisprojekt evaluiert.
Abstract: Das gemeinsame Verständnis der Stakeholder über die umzusetzenden Funktionen einer Software ist eine wichtige Basis für den Projekterfolg. Insbesondere bei agilen Umsetzungen, in denen der Dialog zwischen Entwicklern und Anwendern ein essentieller Bestandteil der Vorgehensweise ist, führen abstrakte Requirements-Engineering-Methoden zu Kommunikationsproblemen und Missverständnissen. In diesem Paper werden, zur Verbesserung der Kommunikation, VisualUser-Stories vorgestellt und in einem Praxisprojekt evaluiert.
1 citations
TL;DR: The paper deals with Systematic Innovation method adaptations for revealing the universal framework design of user experience enhancement, which is targeted to give general guidelines of simpler user experiences design.
Abstract: The paper deals Systematic Innovation method adaptations for revealing the universal framework design of user experience enhancement. User Experience is the way a person feels about using a product, system or services. The key idea of the enhanced user experience is behavior analysis based on the typical statistical data that can be gathering during the regular user operations. The proposed new user interface enhancing framework is targeted to give general guidelines of simpler user experiences design.
1 citations