A Conceptual Framework for Pragmatic Interoperability

Ribeiro, Elivaldo Lozer Fracalossi; Monteiro, Erasmo Leite; Claro, Daniela Barreiro; Maciel, Rita Suzana Pitangueira

doi:10.1145/3330204.3330246

Cited by 6 publications

(4 citation statements)

References 12 publications

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“…What are the methods employed to detect feature interaction? Categorize the methods for the detection of FI in IoT, addressing the levels of syntactic interoperability, semantic or pragmatic [50], being formalized through rules, access policies, formal notation, among others; RQ2c. What are the domains that apply FI in IoT?…”

Section: Research Questionsmentioning

confidence: 99%

Feature Interaction in Smart Environments

Jesús¹,

Claro²,

Rios³

2021

Preprint

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The Internet of Things (IoT) connects many devices daily together in the same environment. Each device may follow the set of rules from a static environment. A static environment is usually controlled by an expert who knows all the necessary rules to provide this environment. The violation of one rule can cause a feature interaction. A feature interaction occurs when two or more devices generate instability in an environment. In a dynamic environment like IoT, devices' inclusion, and exclusion make it impossible for an expert to maintain all these rules up-to-date. It is necessary to provide an automatic solution to avoid violating these rules and maintain the environment's good performance. Thus, this work introduces a new approach to detect a feature interaction in dynamic environments automatically. Almost all previous work provide static rules defined by an expert in a controlled environment to detect an interaction. However, this is not possible in dynamic environments because of the number of device interactions and the number of device connections in/out, which grow exponentially in IoT environments. We started with a lightweight systematic review to better position our research, and then we identified one gap to provide our solution. Thus, our method learns to detect the interactions based on data analysis and then automatically predict the device detections in IoT environments. Datasets were manually annotated. Experiments were performed, and results provide evidence that automatic detection of a set of device interactions is possible in similar or either in complementary domains.

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Section: Research Questionsmentioning

confidence: 99%

Feature Interaction in Smart Environments

Jesús¹,

Claro²,

Rios³

2021

Preprint

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“…Pragmatic interoperability definitions towards a unified definition required a specific literature review. We present and discuss these results in [Ribeiro et al 2019a]. The eight pragmatic interoperability definitions from the literature are summarized in Table 1.…”

Section: Interoperability Definitionsmentioning

confidence: 99%

“…Interoperability is the ability of multiple systems to work together to provide transparent communication regardless of the providers' differences [Zhang et al 2013]. Despite the absence of consensus [Ribeiro et al 2019a], interoperability may be classified into syntactic, semantic, and pragmatic levels . In summary, (i) syntactic level ensures the exchange of information among systems based on message standard, (ii) semantic interoperability is concerned with the communication meaning, and (iii) pragmatic interoperability provides that systems share the same communication intention , Maciel et al 2017.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Defining and Providing Pragmatic Interoperability: The MIDAS Middleware Case

Ribeiro¹

2021

Anais Estendidos Do XVII Simpósio Brasileiro De Sistemas De Informação (Anais Estendidos Do SBSI 2021)

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Modern information systems are becoming increasingly complex due to the need to combine heterogeneous software. A common understanding of interoperability issues is not a trivial task since complex systems may contain many independent software components. This work presents a Conceptual frAmework for Pragmatic InTeroperAbiLity (CAPITAL) to enhance a pragmatic interoperability unified definition. We evaluate our framework through a modeling and coding guide, a controlled experiment, and applying CAPITAL in the Cloud Computing domain. Results suggest that CAPITAL positively influences the understanding, modeling, and codification of pragmatic interoperability solutions, facilitating pragmatic interoperability standardization opportunities.

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