UOOR: Seamless and Traceable Requirements
February 25, 2025 Β· Declared Dead Β· π arXiv.org
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Authors
Maria Naumcheva, Sophie Ebersold, Jean-Michel Bruel, Bertrand Meyer
arXiv ID
2502.18617
Category
cs.SE: Software Engineering
Citations
0
Venue
arXiv.org
Last Checked
5 months ago
Abstract
In industrial practice, requirements are an indispensable element of any serious software project. In the academic study of software engineering, requirements are one of the heavily researched subjects. And yet requirements engineering, as practiced in industry, makes shockingly sparse use of the concepts propounded in the requirements literature. The present paper starts from an assumption about the causes for this situation and proposes a remedy to redress it. The posited explanation is that change is the major factor affecting the practical application of even the best-intentioned requirements techniques. No sooner has the ink dried on the specifications than the system environment and stakeholders' views of the system begin to evolve. The proposed solution is a requirements engineering method, called UOOR, which unifies many known requirements concepts and a few new ones in a framework entirely devised to accommodate and support seamless change throughout the project lifecycle. The method encompasses the commonly used requirements techniques, namely, scenarios, and integrates them into the seamless software development process. The work presented here introduces the notion of seamless requirements traceability, which relies on the propagation of traceability links, themselves based on formal properties of relations between project artifacts. As a proof of concept, the paper presents a traceability tool to be integrated into a general-purpose IDE that provides the ability to link requirements to other software project artifacts, display notifications of changes in requirements, and trace those changes to the related project elements. The UOOR approach is not just a theoretical proposal but has been designed for practical use and has been applied to a significant real-world case study: Roborace, a competition of autonomous racing cars.
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