Survey of Traceability Approaches in Model-Driven Engineering

Galvão, Ismênia; Göknil, Arda

doi:10.1109/edoc.2007.4384003

Cited by 5 publications

(2 citation statements)

References 12 publications

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“…In early phases, engineers start modeling coarse and abstract models of the system. In later phases, the system models get reused and refined [17].…”

Section: Introductionmentioning

confidence: 99%

“…In implementations whereby metamodels evolve, corresponding system models have to be transformed to comply to newer versions of the metamodel. According to Galvão and Goknil [17], system models thereby transform from abstract system descriptions to models with more concrete details. Every evolution step has its own metamodel and modeling language.…”

Section: Introductionmentioning

confidence: 99%

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Utilizing multi-level concepts for multi-phase modeling

et al. 2022

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In model-based systems engineering projects, engineers from multiple domains collaborate by establishing a common system model. Multi-level modeling is a technique that can be used to model the development from abstract ideas to concrete implementations. However, current multi-level modeling approaches are not adequate for processes with multiple modeling phases that might have to be rearranged later. In this paper, we introduce multi-phase modeling that utilizes concepts of multi-level modeling by considering a description of the expected phase ordering per domain. Constraints aware of this context can express that certain elements are only valid in specific phases without having to determine a concrete phase ordering for a particular model. This enables using multi-phase modeling in flexible workflows, adapting to changing requirements and the definition of access rules in domain notation. We show feasibility of this multi-phase modeling by applying it to multiple real-life systems engineering projects of the aerospace domain.

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“…In early phases, engineers start modeling coarse and abstract models of the system. In later phases, the system models get reused and refined [17].…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Utilizing multi-level concepts for multi-phase modeling

et al. 2022

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Empirical studies on software traceability: A mapping study

Charalampidou

Ampatzoglou

Karountzos

et al. 2020

J Software Evolu Process

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During the last decades, software traceability has been studied in a large number of studies, from different perspectives (e.g., how to create traces and what are its benefits). This large body of knowledge needs to be better explored and exploited by both practitioners and researchers: We need an overview of different aspects of traceability and a structured way to assess and compare existing work in order to extend it with new research or apply it in practice, Thus, we have conducted a secondary study on this large corpus of primary studies, focusing on empirical studies on software traceability, without setting any further restrictions in terms of investigating a specific domain or concrete artifacts. The study explores the goals of existing approaches and the empirical methods used for their evaluation. Its main contributions are the investigation of (a) the type of artifacts linked through traceability approaches; (b) the benefits of using artifact traceability approaches; (c) the ways of measuring their benefit; and (d) the research methods used. The results of the study suggest that (i) requirements artifacts are dominant in traceability; (ii) the research corpus focuses on the proposal of novel techniques for establishing traceability; and (iii) the main benefits are the improvement of software correctness and maintainability. Finally, although many studies include some empirical validation, there is still room for improvements and research methods that can be used more extensively. The obtained results are discussed under the prism of both researchers and practitioners and are compared against the state‐of‐the‐art.

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