Empirical Grounding of Design Science Research Methodology

Cronholm, Stefan; Göbel, Hannes

doi:10.1007/978-3-319-18714-3_40

Cited by 4 publications

(5 citation statements)

References 21 publications

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“…For theoretical grounding, the knowledge base used in this paper incorporated widely understood functional requirements techniques based upon UML, and structuration and semiotic theories, also used extensively [32]. Internal grounding means to have logical consistency [18], a clearly described and reusable process. The stages the DSRM applied for this research provided the apparatus for logical consistency.…”

Section: Discussionmentioning

confidence: 99%

“…The research also aligns to the recognized challenge associated with tacit knowledge when developing software [5,21,45,50] and asks the following Research Question (RQ): how can tacit knowledge be obtained and managed in order to contribute to functional requirements modeling? To answer the RQ, the Design Science Research Methodology (DSRM) [6,7,24,28,39] empirically grounds the research undertaken [18,27]. The DSRM incorporated input from end-users, a requirements engineer (also the researcher), and the Unified Modeling Language (UML) to change unwanted circumstances into better ones during a software development project for a client.…”

Section: Introductionmentioning

confidence: 99%

“…The artifact must be evaluated to warrant its applicability to form a novel research contribution, either as problem solving or providing a more effective solution. Research rigor is central to the DSRM which includes a process model and a supporting knowledge base [18,27,28,39]. The knowledge base in this research assimilated the development of a framework based upon structuration theory and semiotics [25,[40][41][42].…”

Section: Introductionmentioning

confidence: 99%

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Modeling functional requirements using tacit knowledge: a design science research methodology informed approach

Benfell

2020

Requirements Eng

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The research in this paper adds to the discussion linked to the challenge of capturing and modeling tacit knowledge throughout software development projects. The issue emerged when modeling functional requirements during a project for a client. However, using the design science research methodology at a particular point in the project helped to create an artifact, a functional requirements modeling technique, that resolved the issue with tacit knowledge. Accordingly, this paper includes research based upon the stages of the design science research methodology to design and test the artifact in an observable situation, empirically grounding the research undertaken. An integral component of the design science research methodology, the knowledge base, assimilated structuration and semiotic theories so that other researchers can test the validity of the artifact created. First, structuration theory helped to identify how tacit knowledge is communicated and can be understood when modeling functional requirements for new software. Second, structuration theory prescribed the application of semiotics which facilitated the development of the artifact. Additionally, following the stages of the design science research methodology and associated tasks allows the research to be reproduced in other software development contexts. As a positive outcome, using the functional requirements modeling technique created, specifically for obtaining tacit knowledge on the software development project, indicates that using such knowledge increases the likelihood of deploying software successfully.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Modeling functional requirements using tacit knowledge: a design science research methodology informed approach

Benfell

2020

Requirements Eng

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“…To conduct our research, we followed the Design Science Research Methodology (DSRM) (Peffers et al 2007, Cronholm andGöbel 2015). DSRM is a methodology that provides guidelines for researchers to conduct research in information systems based on the principles, practices, and procedures required in design science.…”

Section: Methodsmentioning

confidence: 99%

Data-driven and tool-supported elicitation of quality requirements in agile companies

et al. 2020

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Quality Requirements (QRs) are a key artifact needed to ensure the quality and success of a software system. Despite their importance, QRs rarely get the same degree of attention as their functional counterpart in Agile Software Development (ASD) projects. Moreover, crucial information that can be obtained from software development repositories (e.g., JIRA, GitHub,…) is not fully exploited, or is even neglected, in QR elicitation activities. In this work, we present a data-driven tooled approach for the semi-automatic generation and documentation of QRs in the context of ASD. The approach is based on the declaration of thresholds over quality-related issues, whose violation triggers user-defined alerts. These alerts are used to browse a catalog of QR patterns that are presented to the ASD team by means of a dashboard that implements several analysis techniques. Once selected, the patterns generate the QRs, which are documented and stored in the product backlog. The full approach is implemented via a configurable platform. Over the course of one year, four companies differing in size and profile followed this approach and deployed the platform in their premises to semi-automatically generate QRs in several projects. We used standardized measurement instruments to elicit the perception of 22 practitioners regarding their use of the tool. The quantitative and qualitative analyses yielded positive results; i.e., the practitioners' perception with regard to the tool's understandability, reliability, usefulness, and relevance was positive. We conclude that the results show potential for future adoption of data-driven elicitation of QRs in agile companies and encourage other practitioners to use the presented tool and adopt it in their companies.

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“…In what follows, we propose a design theory for EMS that includes the kernel theory, meta-requirements, meta-design, and empirical propositions for meta-design validation. 26, 36 The unified theory of acceptance and use of technology (UTAUT) 37 and the theory of planned behaviour (TPB) 38 are presented as the kernel theories for design guidance. Next, we explore the meta-requirements—the class of goals informed by kernel theory.…”

Section: Evidence-based Managementmentioning

confidence: 99%

Evidence-Based Management: A Design Theory, Template, and Technology for a Knowledge Delivery Platform

Eapen

Baba

Sohail

2023

Metamorphosis: A Journal of Management Research

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We take a theory-driven approach to designing an evidence management system. The ultimate purpose is to promote evidence-based management. The immediate purpose is to capture, curate, maintain, and deliver evidence gathered from both management research and management practice in a format usable by both humans and intelligent systems. The unified theory of acceptance and use of technology (UTAUT) and the theory of planned behaviour serve as the framework for the design, resulting in a design theory and empirical propositions. Our design offers a platform to facilitate ongoing communication between researchers and practitioners as well as a trustworthy mechanism for delivering the evidence to the end user in real-time. It comprises an evidence template, a wiki platform for bidirectional communication, and blockchain technology for ensuring trust among evidence users.

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Empirical Grounding of Design Science Research Methodology

Cited by 4 publications

References 21 publications

Modeling functional requirements using tacit knowledge: a design science research methodology informed approach

Modeling functional requirements using tacit knowledge: a design science research methodology informed approach

Data-driven and tool-supported elicitation of quality requirements in agile companies

Evidence-Based Management: A Design Theory, Template, and Technology for a Knowledge Delivery Platform

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