The Need for Traceability in Heterogeneous Systems: A Systematic Literature Review

Mustafa, Nasser; Labiche, Yvan

doi:10.1109/compsac.2017.237

Cited by 21 publications

(22 citation statements)

References 56 publications

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“…There are several existing techniques that aim to model traceability among heterogeneous domains. However, in a systematic literature review conducted in (Mustafa and Labiche, 2017), existing traceability approaches are either limited to a specific domain and problem, or they lack to specify traceability link semantics. For example, a Traceability Information Model (TIM) has been proposed in (Taromirad et al, 2013) for capturing heterogeneous artefacts in the context of the safety-critical systems domain where the TIM is defined on top of multi-domains using Ecore (Steinberg et al, 2009) metamodeling language.…”

Section: Related Workmentioning

confidence: 99%

“…Due to the heterogeneity of software tools that are used in systems engineering, all tools need to be equipped with interfaces that exchange data in a unified format, so that the syntax and semantics of the traceability data are compatible. Different "traceability information models" (TIM) have been developed that define the data model used to describe the traceability links between different entities (Mustafa and Labiche, 2017). However, up to now, no universal TIM was established.…”

Section: Introductionmentioning

confidence: 99%

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Traceability in the Model-based Design of Cyber-Physical Systems

König¹,

Mengist²,

Gamble³

et al. 2020

Linköping Electronic Conference Proceedings

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Design, development, and analysis of complex Cyber Physical Systems (CPSs) using models involves a collaboration of expertise from different engineering domains. Heterogeneous artefacts are generated, often using different lifecycle modeling languages and simulation tools. Capturing the traceability information among these artefacts can be used to support several activities such as requirements tracing, impact analysis of change requests, verification, validation, and documentation. However, creating trace links among these heterogeneous artefacts is challenging as different tools in the development lifecycle are usually disparate and there is no precise semantic in the terminology used between requirement engineers, verification engineers, and system modelers. In this paper, we present a linked data-based approach to capture traceability information and create trace links that relate heterogeneous artefacts in the model-based design process of CPSs through a standardized interface and format using OSLC. This enables artefacts from different tools to be connected and queried through a standardized interface and format. A practical prototype system for supporting traceability is designed through integration with the INTO-CPS toolchain of CPS design. The traceability data is stored in Neo4j graph database which can be queried for generating various reports such as impact analysis, variant handling, etc.

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Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Traceability in the Model-based Design of Cyber-Physical Systems

König¹,

Mengist²,

Gamble³

et al. 2020

Linköping Electronic Conference Proceedings

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show abstract

“…There have been notable literature reviews on specific themes of traceability, such as technology (Costa et al 2013;Pournader et al 2020;Wang, Han, and Beynon-Davies 2019) and legislation (Borit and Santos 2015); as well as reviews based on its relationship with other SC management concepts such as risk management (Ringsberg 2014) and sustainability (Garcia-Torres et al 2019). There are also some reviews on the benefits of traceability and its impact on SC performance, but these reviews have been limited either to a particular industry, with a focus on food (Opara 2003;Dabbene, Gay, and Tortia 2014) or computers and software (Omar and Dahr 2017;Mustafa and Labiche 2017), or to a particular technology, with a focus on blockchain (Pournader et al 2020;Feng et al 2020) or RFID (Nambiar 2010;Costa et al 2013). Thus, there is a need for a comprehensive review of the extant literature to integrate the benefits of traceability discussed across multiple industries and technologies.…”

Section: Introductionmentioning

confidence: 99%

Supply chain traceability: a review of the benefits and its relationship with supply chain resilience

Razak

Hendry

Stevenson

2021

Production Planning & Control

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There has been considerable recent growth in supply chain (SC) traceability research due to increased Industry 4.0 solutions and the potential of traceability systems to enable SCs to bounce back from a crisis, thereby having a long-term impact on firm/SC performance. However, to date, the relationship between SC traceability and SC Resilience (SCRes) has not been fully explored. Using a systematic literature review, this paper first provides a comprehensive state-of-the-art understanding of traceability to enable an appreciation of the inherent benefits of its implementation and its role in the improvement of SCRes. Building on this understanding, a conceptual framework is developed showing that there is a direct relationship between traceability benefits, such as improved risk awareness, and SCRes. The framework also demonstrates indirect relationships between these benefits and four enablers of SCRes: flexibility, velocity, visibility and collaboration. Finally, a future research agenda is proposed, including further development of this conceptual framework.

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“…This chapter describes our effort in understanding the requirements of a generic traceability model by designing a survey that aims to collect information related to the traceability of heterogeneous artifacts. This survey complements our systematic literature review [117] On the other hand, carrying out the study involves publishing the survey, collecting data, analyzing the data, and reporting the results. We provide here a description of all these aspects.…”

Section: Traceability Surveymentioning

confidence: 94%

“…The purpose of conducting the survey is to get feedback from professionals in industry about their traceability practices and traceability tools. We incorporate our findings from the systematic literature review [117] and the needs of our industrial partner at CAE [149] in constructing the questionnaire. The aim of the questionnaire is to understand the drawbacks of existing traceability tools, the types of traceable artifacts, and the types and usage of trace links.…”

Section: Mitigating the Threats To The Validity Of The Surveymentioning

confidence: 99%

Traceability Modeling for the Engineering of Heterogeneous Systems

Nasser¹

Self Cite

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Capturing traceability information among artifacts helps ensure product quality and assists tracking functional and non-functional requirements, and performing system validation and impact analysis. Although literature provides many techniques for modeling traceability, existing solutions are either tailored to specific domains or not complete enough (e.g., lack support to specify traceability link semantics). This research examines the current traceability solutions and identifies the drawbacks that hinder capturing some traceability information of heterogeneous artifacts. In this context, heterogeneous artifacts refer to artifacts that come from widely different modeling notations (e.g., UML, Simulink, natural language text, source code).In this thesis, our contribution comprises a traceability framework that can accommodate the traceability of system engineering artifacts which come from different domains of expertise.The framework includes the followings: First, a set of requirements for a traceability model that are necessary to build a generic traceability model. Second, a generic traceability model that is not domain specific and which, therefore, provides a solution for modeling traceability links among heterogeneous models, that is, models for which traceability links need to be established between artifacts in widely different modeling languages (e.g., UML, block diagrams, informal documents). We argue that the proposed requirements are sufficient to build a traceability model oblivious of the heterogeneity of the models whose artifacts need to be traced. We also argue that our traceability model is extensible in the sense that it can adapt to new modeling languages, new ways of characterizing traceability information for instance, without requiring changes to the model itself; Third, a trace links taxonomy that encompasses semantically well-defined trace links that can be utilized along with the traceability model. The design of our framework is validated through a set of validation methods. Also, it is supported by our findings from a survey and a systematic literature review. ii Acknowledgement I would like to thank my supervisor Dr. Yvan Labiche the head of the he Software Quality Engineering Laboratory (SQUALL) at Carleton University for his unlimited support and advice during my PhD study. Also, I would like to extend my thanks to Dr. Daniel Amyot from the University of Ottawa for his valuable comments and the revision of my thesis. I would like to thank NSERC, CRIAQ, CAE, CMC Electronics, and Mannarino Systems & Software for their financial support. Last but not least, many thanks for my lovely family; my wife Hanan, my daughter Nathalie, and my son Mohammed for their support and encouragement.iii DedicationTo the souls of my father and mother who gave me their courage and support.between things written in RDF, OWL must be used to specify these relationships. Therefore, the owl tags in lines 10 and 14 imply a relationship exists between the dependency trace link and the other trace links, i.e., p...

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The Need for Traceability in Heterogeneous Systems: A Systematic Literature Review

Cited by 21 publications

References 56 publications

Traceability in the Model-based Design of Cyber-Physical Systems

Traceability in the Model-based Design of Cyber-Physical Systems

Supply chain traceability: a review of the benefits and its relationship with supply chain resilience

Traceability Modeling for the Engineering of Heterogeneous Systems

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