Abstract
[Context & Motivation] Providing requirements-driven information (e.g., requirements volatility measures, requirements-design coverage information, requirements growth rates, etc.) falls within the realm of the requirements management process. The requirements engineer must derive and present the appropriate requirements information to the right internal stakeholders (IS) in the project. [Question/Problem] This process is made complex due to project-related factors such as numerous types of ISs, varying stakeholder concerns with regard to requirements, project sizes, a plethora of software artifacts, and many affected processes. However, there is little guidance in practice as to how these factors come into play together in providing the described information to the ISs. [Principle ideas/results] Based on analyzed data from an action research (AR) study we conducted in a large systems project in the rail-automation domain, we propose a meta-model that consists of the main entities and relationships involved in providing requirements-driven information to internal stakeholders within the context of a large systems project. The meta-model consists of five main entities and nine relationships that are further decomposed into three abstraction levels. We validated the meta-model in three phases by researchers and practitioners. [Benefits/Contribution] The meta-model is anticipated to facilitate: (i) control and management of process and resources for providing requirement-driven information to stakeholders and (ii) communication among internal stakeholders.
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Notes
- 1.
High resolution images of Figs. 2 and 3 can be found at: http://publish.uwo.ca/~inoorwal/Uploads/Meta-Model_publish.pdf.
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Acknowledgements
We thank Philipp Hullmann and Eduard Groen for their valuable feedback. This work is supported by the Ministry of Education of Saudi Arabia.
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Noorwali, I., Madhavji, N.H., Arruda, D., Ferrari, R. (2019). Towards a Meta-model for Requirements-Driven Information for Internal Stakeholders. In: Knauss, E., Goedicke, M. (eds) Requirements Engineering: Foundation for Software Quality. REFSQ 2019. Lecture Notes in Computer Science(), vol 11412. Springer, Cham. https://doi.org/10.1007/978-3-030-15538-4_19
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