Skip to main content
Have a personal or library account? Click to login
Formal Modeling with Verification of Smart Courtroom Building System (SMCBS) Using UML and TLA+ Specification Cover

Formal Modeling with Verification of Smart Courtroom Building System (SMCBS) Using UML and TLA+ Specification

Open Access
|Mar 2026

Figures & Tables

Figure 1:

Proposed approach.

Figure 2:

Inputs/outputs of SMCBS. SMCBS, smart courtroom building system.

Figure 3:

Smart courtroom activity diagram.

Figure 4:

Variable declaration in the smart courtroom module.

Figure 5:

Smart courtroom TypeOk.

Figure 6:

Init function of the smart courtroom building system. SMCBS, smart courtroom building system.

Figure 7:

Verification of visitors/litigants and SetLight functions.

Figure 8:

SetLight function of SMCBS.

Figure 9:

SetTemperature and DetectSmoke functions in SMCBS.

Figure 10:

DetectSmoke functions in SMCBS.

Figure 11:

Next and spec functions in SMCBS.

Figure 12:

Parsed model of TLA+ specification.

Figure 13:

Parameter setting in model overview.

Summary regarding the review of literature on smart buildings

AuthorsYearUsage of methodologyMain findings/viewpointsLimitations
Rodríguez Gracia et al. [20]Apr 2023AI techniques in sustainable buildingsExplores how AI can enhance the sustainability of buildings through a comprehensive review of the existing literature. Utilized bibliometric analysis to identify key trends.Relies on bibliometric data, which may not capture the practical, real-world effectiveness of AI solutions.
Khan et al. [21]Dec 2022Critical event library for building fire safetyDeveloped a framework for firefighting in buildings based on significant fire events. The framework aims to predict future incidents using a database of past events.Based on historical data, which may not account for new building materials and designs or evolving safety standards.
Liu et al. [22]Jan 2023Data-driven smart photovoltaic systems in buildingsSummarized literature on data-driven approaches with integrated photovoltaic systems, covering data collection, analysis, prediction, and optimization.The focus on data-driven methods does not address the practical implementation and cost considerations for large-scale use.
Xia et al. [23]Sep 2022GIS and BIM integration for smart citiesReviewed data integration methods for combining GIS and BIM technologies in urban planning, emphasizing sustainable city design through digital twins.The study is largely conceptual and does not provide practical case studies on the implementation of these technologies.
Pinto et al. [24]Feb 2022Transfer learning in smart building applicationsReviewed the use of transfer learning and deep learning in smart building technologies, categorizing existing research into four major application areas.Primarily focuses on theoretical applications without a detailed discussion on the challenges of real-world deployment.
Dwivedi et al. [25]Apr 2022IoMT in healthcare buildingsInvestigated the use of IoT in healthcare buildings, discussing potential benefits and challenges in creating smart healthcare environments.Limited discussion on data security and privacy concerns associated with IoT in healthcare settings.
Huseien and Shah [26]Jan 20225G technology for smart energy managementDiscussed the potential of 5G technology to support energy management in smart buildings, with a focus on Singapore’s governmental support for this technology.Focused on the Singapore context, which may not be applicable to other regions with different regulatory environments.
Aguilar et al. [27]Nov 2021AI for energy management in buildingsReviewed AI applications for self-managing energy systems in buildings, categorizing studies by task areas of monitoring and decision-making.Limited to AI technologies; does not address the challenges of integrating these systems with existing infrastructure.
Malagnino et al. [28]Aug 2021IoT and BIM for sustainable building environmentsExplored how building information modeling and the IoT can improve building sustainability, analyzing literature from 2015 to 2020.Focused on older literature, potentially missing recent advancements and ongoing research in this rapidly evolving field.
Stopps et al. [29]Jan 2021Occupant-centric HVAC controls in residential buildingsReviewed the research on smart HVAC systems that focus on occupant comfort, comparing experimental studies with existing commercial technologies.Emphasizes research gaps without fully exploring how these systems can be effectively integrated into current homes.
Dakheel et al. [30]Oct 2020Smart building features and performance indicatorsReviewed the technologies and KPIs that define intelligent building features and discussed the challenges of retrofitting existing buildings.The review is general; it lacks specific case studies or quantitative assessments of different smart building technologies.
Dong et al. [31]Sep 2019Smart building sensing systemsReviewed how indoor environmental sensors impact energy efficiency and comfort, covering aspects regarding visual comfort and indoor air quality in the building.The focus on sensors overlooks the challenges related to maintenance, data accuracy, and system integration.
Jia et al. [32]May 2019IoT adoption in smart buildingsReviewed key projects and research on the changing and fixing of IoT technologies for smart buildings, also highlighting improvements in sites of academia and industry.Lacks an evaluation for long-term sustainability and scalability of these IoT solutions in several different building types.
Our proposed workOct 2024Adoption of IoT technologies, the formal model language of TLA+, specification with formal methods in smart courtroom building

Information of specification in TLA+

Type nameValue
Total number of variables21
Extends library variables04
Total number of initializations21
Total number of off events06
Total number of on events06
Language: English
Submitted on: Jul 4, 2024
Published on: Mar 12, 2026
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2026 Shahbaz Ahmad, Nadeem Akhtar, Adeel Ahmad, Saima Abdulla, Saman Iftikhar, published by Macquarie University, Australia
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.