Visual requirements analytics: a framework and case study

Reddivari, Sandeep; Rad, Shirin; Bhowmik, Tanmay; Cain, Nisreen; Niu, Nan

doi:10.1007/s00766-013-0194-3

Cited by 38 publications

(19 citation statements)

References 40 publications

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“…In general, this work offers numerous opportunities for research that combines NLP and information visualization in RE; for another example of such synergy, see our work on terminological ambiguity [6]. In order for automated techniques to become useful for practitioners, the results of automation have to be turned into requirements analytics tools [26] that are built for use by human analysts.…”

Section: Discussion and Future Workmentioning

confidence: 99%

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RE-SWOT: From User Feedback to Requirements via Competitor Analysis

Dalpiaz

Parente²

2019

Requirements Engineering: Foundation for Software Quality

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Context & Motivation] App store reviews are a rich source for analysts to elicit requirements from user feedback, for they describe bugs to be fixed, requested features, and possible improvements. Product development teams need new techniques that help them make real-time decisions based on user feedback. [Question/Problem] Researchers have proposed natural language processing (NLP) techniques for extracting and organizing requirements-relevant knowledge from the reviews for one specific app. However, no attention has been paid to studying whether and how requirements can be identified from competing products. [Principal ideas/results] We propose RE-SWOT, a tool-supported method for eliciting requirements from app store reviews through competitor analysis. RE-SWOT combines NLP algorithms with information visualization techniques. We evaluate the usefulness of RE-SWOT with expert product managers from three mobile app companies.[Contribution] Our preliminary results show that competitor analysis is a promising path for research that has direct impact on the requirements engineering practice in modern app development companies.

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Section: Discussion and Future Workmentioning

confidence: 99%

“…Visual Requirements Analytics. Reddivari et al [26] proposed a framework that characterizes the visual requirements analytics process. They argue that, when proposing a requirements visualization, one has to explicitly define many aspects: the user, the goal, the questions to be answered, how to preprocess data, and the visualization type.…”

Section: Introductionmentioning

confidence: 99%

RE-SWOT: From User Feedback to Requirements via Competitor Analysis

Dalpiaz

Parente²

2019

Requirements Engineering: Foundation for Software Quality

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“…To do so, we plan to employ other analysis techniques for Bayesian Networks, such as sensitivity analysis (van der Gaag et al 2007) or qualitative reasoning (Wellman 1990). Visualization tools, which are missing in this paper, are necessary to support human analysts in visualizing the validity of the assumptions in a requirements model, as discussed in Reddivari et al (2014), and to help them in deciding about the manual evolution of an STS. A starting point could be the visualization we developed in earlier work (Dell'Anna et al 2018a).…”

Section: Related Workmentioning

confidence: 99%

Requirements-driven evolution of sociotechnical systems via probabilistic reasoning and hill climbing

2019

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Sociotechnical systems (STSs) are defined by the interaction between technical systems, like software and machines, and social entities, like humans and organizations. The entities within an STS are autonomous, thus weakly controllable, and the environment where the STS operates is highly dynamic. As a result, the design artifacts that represent the requirements of an STS, such as requirements models, may end up being invalid when the system operates, for the autonomous entities do not comply with the requirements, or the environment changes. In this paper, we present a framework that uses runtime execution data to support the runtime validation of requirements models and to guide the evolution of an STS. We propose two types of evolution: (i) manual: the analyst uses Bayesian inference to discover which assumptions in a requirements model are invalid and manually adjusts the system or its model; and (ii) automated: requirements are iteratively revised by an hill climbing algorithm searching for requirements that maximize the achievement of the stakeholders' objectives. We evaluate the effectiveness of different revision heuristics on a smart traffic simulation applied to an exemplar from the self-adaptive systems literature. The results show that our heuristics, informed by runtime execution data, outperform standard uninformed heuristics, in terms of convergence speed, solution quality, and stability. Moreover, the algorithms show good resilience to noise introduced into the execution data.

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“…An up-to-date literature review of the existing visual requirements analytics 7 frameworks can be found in Reddivari et al [5] and Cooper et al [6]. Coatanéa et al [7] and Lash [8] extract requirements and relationships from unstructured specifications.…”

Section: Related Workmentioning

confidence: 99%

“…Within the supply chain, a stakeholder is either a system integrator 4 or an Original Equipment Manufacturer (OEM) 5 . Nonetheless, any stakeholder at tier N can, in turn, be an integrator of OEMs' subsystems developed at tier N-1, and an OEM that provides a subsystem to an integrator at tier N+1.…”

Section: Introductionmentioning

confidence: 99%

A Collaborative Requirement Mining Framework to Support OEMs

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Segonds

et al. 2015

Lecture Notes in Computer Science

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is an open access repository that collects the work of Arts et Métiers ParisTech researchers and makes it freely available over the web where possible. Abstract. With the fastidiously ever-increasing complexity of systems, the relentless, massive customisation of products and the mushrooming accumulation of legal documents (standards, policies and laws), we can observe a significant increase in requirements. We consider the tremendous volume of requirements as big data with which companies struggle to make strategic decisions early on. This paper proposes a collaborative requirement mining framework to enable the decision-makers of an Original Equipment Manufacturer (OEM) to gain insight and discover opportunities in a massive set of requirements so as to make early effective strategic decisions. The framework supports OEMs willing to uncover a subset of key requirements by distilling large unstructured and semi-structured specifications.

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Visual requirements analytics: a framework and case study

Cited by 38 publications

References 40 publications

RE-SWOT: From User Feedback to Requirements via Competitor Analysis

RE-SWOT: From User Feedback to Requirements via Competitor Analysis

Requirements-driven evolution of sociotechnical systems via probabilistic reasoning and hill climbing

A Collaborative Requirement Mining Framework to Support OEMs

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