scispace - formally typeset
Search or ask a question
Topic

User story

About: User story is a research topic. Over the lifetime, 1078 publications have been published within this topic receiving 23717 citations.


Papers
More filters
Dissertation
19 Aug 2015
TL;DR: In this paper, the authors evaluate the effectiveness of gamification in requirements engineering in order to improve stakeholder engagement and propose an online digital platform for scenariobased RE supported with gamification.
Abstract: The purpose of this paper is to evaluate the effectiveness of gamification in requirements engineering in order to improve stakeholder engagement. We developed an online digital platform for scenariobased RE supported with gamification. Derived from an in-depth literature study, we selected user stories complemented with scenarios from behavior-driven development (BDD) as a method to express stakeholder requirements. Points, badges and leaderboards (PBL) are very common game elements in terms of gamification and are used as a starting point for the gamified platform. In total, the RE eliciation system consists of 17 different game mechanics and elements, which intension is to positively affect intrinsic and extrinsic stakeholder motivation. Subsequently, the gamified platform is tested in a controlled experiment. The findings demonstrate that it is possible to effectively change stakeholder’s behavior with gamification. Stakeholders who are influenced by gamification produce more requirements, with better quality and more creativity. The majority of their user stories consist of attractive requirements that enhance customer satisfaction. Derived from the results we agree that competitive game elements are advantageous for RE elicitation to mitigate collaboration and therefore, prevent production blocking. In sharp contrast, social game elements are favorable for RE analysis, specification and validation where cooperation is demanded.

8 citations

Book ChapterDOI
11 Apr 2017
TL;DR: A new model to estimate the complexity and importance of user stories based on Planning Poker in the context of Scrum is proposed to facilitate the decision-making of newbie developers when they estimate user stories’ parameters.
Abstract: Planning Poker is a light-weight technique for estimating the size of user stories, in face-to-face interaction and discussions. Planning Poker is generally used with Scrum. Planning Poker has a lot of benefits, however, this method is not entirely efficient because the result is always based on the observation of an expert. This paper proposes a new model to estimate the complexity and importance of user stories based on Planning Poker in the context of Scrum. The goal of this work is to facilitate the decision-making of newbie developers when they estimate user stories’ parameters. Hence, the decision of each member would be clearer to understand than when the complexity is taken as a whole. We use a Bayesian Network to co-relate factors to have accurate in the estimation. The Bayesian Network gives the complexity of a user story, according to the Fibonacci scale used in Planning Poker.

8 citations

Proceedings ArticleDOI
01 Sep 2021
TL;DR: In this paper, an automated approach via machine learning that is able to detect privacy-related entities in the user stories is proposed, which can assist agile teams in performing privacy requirements engineering techniques such as threat modeling.
Abstract: The presence of experts, such as a data protection officer (DPO) and a privacy engineer is essential in Privacy Requirements Engineering. This task is carried out in various forms including threat modeling and privacy impact assessment. The knowledge required for performing privacy threat modeling can be a serious challenge for a novice privacy engineer. We aim to bridge this gap by developing an automated approach via machine learning that is able to detect privacy-related entities in the user stories. The relevant entities include (1) the Data Subject, (2) the Processing, and (3) the Personal Data entities. We use a state-of-the-art Named Entity Recognition (NER) model along with contextual embedding techniques. We argue that an automated approach can assist agile teams in performing privacy requirements engineering techniques such as threat modeling, which requires a holistic understanding of how personally identifiable information is used in a system. In comparison to other domain-specific NER models, our approach achieves a reasonably good performance in terms of precision and recall.

8 citations

Proceedings ArticleDOI
24 Nov 2017
TL;DR: The purpose of this research is to get the design of reward-based crowdfunding website that suits user needs in Indonesia by using the Lean Product Process approach, which is the development of Lean Startup.
Abstract: The most dominant problem experienced by sub-sector of creative economy in Indonesia is funding. Crowdfunding is a new way to get funding through internet. Based on observations, almost all of the world's reward-based crowdfunding is intended for creative industry campaigns, so reward-based crowdfunding is believed to help the development of creative industry in Indonesia. The purpose of this research is to get the design of reward-based crowdfunding website that suits user needs in Indonesia. The Lean Product Process approach, which is the development of Lean Startup, is used to get the appropriate website design. There are six stages in the Lean Product Process framework with different methods in each stage. The methods used in this study were Persona, Kano Model, Product Value Proposition, User Stories, User Experience Design Framework, and Usability Testing. This study conducted two iterations. In the first iteration, website design of clickable mockup was obtained, while in the second iteration web site design of interactive prototype was obtained.

8 citations


Network Information
Related Topics (5)
Software development
73.8K papers, 1.4M citations
86% related
Component-based software engineering
24.2K papers, 461.9K citations
86% related
Software system
50.7K papers, 935K citations
84% related
Software construction
36.2K papers, 743.8K citations
84% related
Business process
31.2K papers, 512.3K citations
81% related
Performance
Metrics
No. of papers in the topic in previous years
YearPapers
202334
202259
202157
202084
201991
201875