Extraction Data — Interoperability Mechanisms for System-of-Systems: A Systematic Literature Review

RSL_SoS_Data — Extraction Data for the Systematic Literature Review Paper: Interoperability Mechanisms for System-of-Systems: A Systematic Literature Review Authors: Thyago Ferreira Vieira, Ronaldo R. Goldschmidt, Maria C. R. Cavalcanti, Ricardo Choren Institution: Instituto Militar de Engenharia (IME), Rio de Janeiro, Brazil Target venue: IEEE Access (submitted 2026) Overview This repository contains the structured data extraction spreadsheet produced during the Systematic Literature Review (SLR) on interoperability and integration mechanisms in Systems-of-Systems (SoS) architectures. The data supports full reproducibility of the quantitative results reported in the paper, including Tables 7, 8, and 9. The SLR followed the methodological guidelines of Kitchenham and Charters and the PRISMA 2020 checklist. Searches were conducted across six digital libraries (ACM, IEEE Xplore, Scopus, SpringerLink, Web of Science, Wiley) covering the period from January 2016 to October 2025, yielding 56 primary studies after screening and quality assessment. File: RSL_SoS_Data.xlsx The spreadsheet contains three worksheets described below. Sheet 1 — Primary Studies Contains the full classification of all 56 primary studies (P1–P56) extracted during the review. Column Description ID Study identifier (P1 to P56) used throughout the paper First Author Last name of the first author followed by "et al." for multi-author works Year Publication year. "N/A" indicates year not available Domain Application domain of the SoS addressed in the study (see legend below) Mechanism Primary mediation mechanism proposed or employed (see legend below) Pattern Architectural organizational pattern identified in the study (see legend below) Validation Type of validation or evaluation presented in the study (see legend below) Notes Additional remarks, e.g., unpublished manuscripts or alternative titles Classifications were verified against the actual PDF content (abstracts and evaluation sections) of each primary study. Sheet 2 — Distribution Marginal frequency distributions for each classification dimension, corresponding to Table 8 of the paper. Section Description Domain Count and percentage of studies per application domain Mechanism Count and percentage of studies per mediation mechanism family Pattern Count and percentage of studies per architectural pattern Validation Count and percentage of studies per validation type Note: Domains with two or fewer studies (Space, Surveillance, Smart City, Robotics) are consolidated under "Other" in the paper's Table 8 for readability. The full breakdown is available in Sheet 3. Sheet 3 — Cross-tabulation Domain × Mechanism cross-tabulation for all 10 domains and 5 mechanism families, corresponding to Table 9 of the paper. Dominant mechanism per domain is highlighted in yellow. Notable patterns identified: Defense (n=10): Agent/MAS dominates (8/10 = 80%), reflecting the need for autonomy and decentralized decision-making in tactical environments. Energy (n=6): Co-simulation dominates (3/6 = 50%), driven by the need to orchestrate pre-existing physics-based simulation tools. Environment (n=5): Semantic/Ontological dominates (3/5 = 60%), reflecting the heterogeneity of environmental data sources that requires vocabulary alignment before connectivity. General SoS (n=15): Model-based slightly exceeds Agent/MAS (7 vs. 6), as generic SoS studies tend to propose abstract architectural models before concrete implementations. Legends Domain Code Full Name Description Def Defense Military, combat, surveillance, and national security systems En Energy Power grids, smart grids, energy distribution and management Tra Transportation Road, air, urban mobility, and vehicular networks Ind Industry Manufacturing, Industry 4.0, industrial automation, IoT Gen General SoS Studies proposing generic SoS models without a specific domain Env Environment Environmental monitoring, water management, marine data Spa Space Space systems, satellite architectures, aerospace Sur Surveillance Multi-sensor surveillance and monitoring infrastructures SC Smart City Urban management, city-scale CPS, smart infrastructure Rob Robotics Human-robot teaming and robotic system integration Mechanism (Mediation Mechanism Family) Code Full Name Description Ag Agent/MAS Multi-Agent Systems used as mediators between constituent systems MB Model-based Architectural or behavioral models as the integration backbone CS Co-simulation Orchestration of independent simulation tools via standard interfaces Sem Semantic/Ontological Ontologies and shared vocabularies for semantic alignment MW Middleware/Gateway Protocol translators, ESB, and communication middleware Pattern (Architectural Pattern) Code Full Name Description H Hierarchical Explicit layered organization with local mediators and coordination layers above D Decentralized Peer-to-peer, fully distributed mediator coordination Hy Hybrid Combination of hierarchical and decentralized elements MB Model-based Mediators organized around explicit architectural or behavioral models Validation (Validation Type) Code Full Name Description Sim Simulation Evaluated exclusively through simulation environments Pro Prototype/PoC Evaluated through a physical or software prototype or proof-of-concept Con Conceptual Proposed as a conceptual or theoretical contribution without empirical evaluation Key finding: No study in the corpus (0/56) reported field deployment as its primary validation method. 54% rely on simulation and 23% on prototype evaluation, evidencing a persistent maturity gap between proposed mechanisms and operational environments. Methodology Summary Item Detail Protocol Kitchenham & Charters + PRISMA 2020 Search period January 2016 – October 2025 Databases ACM (12), IEEE Xplore (144), Scopus (249), SpringerLink (142), Web of Science (132), Wiley (19) Total retrieved 698 records After deduplication 533 records After title/abstract screening 239 records After full-text + QA 51 studies Added via snowballing 5 studies Final corpus 56 primary studies Quality threshold ≥ 5/8 on the quality assessment checklist Citation If you use this dataset, please cite the original paper: Vieira, T. F., Goldschmidt, R. R., Cavalcanti, M. C. R., & Choren, R. (2026). Interoperability Mechanisms for System-of-Systems: A Systematic Literature Review. IEEE Access. (submitted) Corresponding author: Thyago Ferreira Vieira — [e-mail]