Lean requirements traceability automation enabled by model-driven engineering

doi:10.7717/peerj-cs.817

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Lean requirements traceability automation enabled by model-driven engineering

2022-01-25

María José Escalona *

Nora Koch

Laura García‐Borgoñón

DOI：10.7717/peerj-cs.817

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Abstract

En 中文

Background: The benefits of requirements traceability, such as improvements in software product and process quality, early testing, and software maintenance, are widely described in the literature. Requirements traceability is a critical, widely accepted practice. However, very often it is not applied for fear of the additional costs associated with manual efforts or the use of additional tools. Methods: This article presents a low-cost mechanism for automating requirements traceability based on the model-driven paradigm and formalized by a rnetarnodel for the creation and monitoring of traces and an integration process for traceability management. This approach can also be useful for information fusion in industry insofar that it facilitates data traceability. Results: This article extends an existing model-driven development methodology to incorporate traceability as part of its development tool. The tool has been used successfully by several companies in real software development projects, helping developers to manage ongoing changes in functional requirements. One of those projects is cited as an example in the paper. The authors' current work leads them to conclude that a model-driven engineering approach, traditionally used only for the automatic generation of code in a software development process, can also be used to successfully automate and integrate traceability management without additional costs. The systematic evaluation of traceability management in industrial projects constitutes a promising area for future work.

Keywords:

Traceability

Model-driven engineering

Information fusion

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