Background. As digital technologies increasingly shape social domains such as healthcare, public safety, entertainment, and education, software engineering has engaged with ethical and political concerns primarily through the notion of algorithmic fairness. Aim. This study challenges the limits of software engineering approaches to fairness by analyzing how fairness is conceptualized in the human sciences. Methodology. We conducted two secondary studies, exploring 45 articles on algorithmic fairness in software engineering and 25 articles on fairness from the humanities, and compared their findings to assess cross-disciplinary insights for ethical technological development. Results. The analysis shows that software engineering predominantly defines fairness through formal and statistical notions focused on outcome distribution, whereas the humanities emphasize historically situated perspectives grounded in structural inequalities and power relations, with differences also evident in associated social benefits, proposed practices, and identified challenges. Conclusion. Perspectives from the human sciences can meaningfully contribute to software engineering by promoting situated understandings of fairness that move beyond technical approaches and better account for the societal impacts of technologies.
This study presents the Structural–Typological–Value Sensitivity Model (STVSM), a multi-dimensional framework for evaluating vulnerability in historic buildings where fragility cannot be explained by structural indicators alone. Existing models prioritise load-bearing behaviour but overlook typological discontinuity, spatial fragmentation and erosion of cultural or architectural value. STVSM addresses this through three weighted sub-indices—structural vulnerability (SV), typological degradation (TV) and heritage value (HV)—each calibrated using expert-derived micro–macro coefficients. Field-based deterioration scores (0–1) are multiplied by these final weights to produce SV, TV and HV values, then merged into a Conservation Priority Index (CPI).The model is applied to twenty-five buildings in three heritage contexts: Cumalıkızık traditional houses, vernacular dwellings in Balıkesir–Karesi and nineteenth-century Greek Orthodox churches in Bursa. The churches yield the highest CPI values due to roof loss, wall deformation and spatial discontinuity, reinforced by cultural significance. Vernacular houses show moderate structural deterioration but marked typological distortion linked to later additions and façade alterations. Cumalıkızık houses present heterogeneous conditions, combining preserved structures with material decay.By quantifying structural behaviour, typological integrity and heritage value within a single analytical system, STVSM offers a transparent and repeatable basis for conservation prioritisation across diverse historic building stocks.
Elena Malakhatka, Omar Shafqat, Anders Sandoff
et al.
Urban living labs (ULLs) are experimental governance mechanisms accelerating sustainability transitions in the built environment, yet their governance implications and systemic impact are often under-examined. A comparative analysis of six ULLs is presented with a focus on positive energy districts (PEDs) and energy communities (ECs) in Austria, Germany, Sweden and the Netherlands. Stakeholder configurations, governance models and value creation processes are analysed using structured case documentation and a multitheoretical lens combining the multi-level perspective (MLP), ULL frameworks, innovation ecosystem theory and the Cambridge Value Mapping Tool (CVMT). Substantial variation is revealed in governance, ranging from centralised, municipality-led models to distributed, cooperative or academic leadership. Mapping stakeholder networks across MLP levels uncovers critical tensions between regime incumbents and niche actors. CVMT analysis demonstrates that value creation is multidimensional (economic, environmental, social) but often uneven, with missed or destroyed value linked to governance misalignment or limited stakeholder engagement. It is argued that ULLs function as infrastructures for transition governance, not merely technical testbeds. Their success relies on their capacity to align multi-actor systems, mediate institutional frictions and co-produce shared value. Findings offer actionable insights for designing ULLs that are technically effective and socially embedded for just and sustainable urban energy transitions. Practice relevance This study provides practical insights for stakeholders involved in the development of PEDs and ECs through ULLs. First, the analysis highlights that governance models play a critical role – distributed and inclusive structures tend to foster trust, legitimacy and sustained innovation, while centralised, siloed models often lead to missed or destroyed value. Second, successful ULLs rely on strong stakeholder alignment across different institutional levels, enabling systemic change and the embedding of new practices. Third, value creation in ULLs is multidimensional – economic, social and environmental – and tools like the CVMT are essential for identifying opportunities and avoiding value loss. Fourth, co-creation processes that involve citizens meaningfully improve acceptance, adaptability and long-term impact. Finally, ULLs should be understood not merely as project testbeds but as infrastructures for transition, capable of bridging the gap between innovation and policy to support just and sustainable energy futures.
Architectural engineering. Structural engineering of buildings
Bastiaan Heeren, Fabiano Dalpiaz, Mazyar Seraj
et al.
Software engineering educators strive to continuously improve their courses and programs. Understanding the current state of practice of software engineering higher education can empower educators to critically assess their courses, fine-tune them by benchmarking against observed practices, and ultimately enhance their curricula. In this study, we aim to provide an encompassing analysis of higher education on software engineering by considering the higher educational offering of an entire European country, namely the Netherlands. We leverage a crowd-sourced analysis process by considering 10 Dutch universities and 207 university courses. The courses are analysed via knowledge areas adopted from the SWEBOK. The mapping process is refined via homogenisation and internal consistency improvement phases, and is followed by a data analysis phase. Given its fundamental nature, Construction and Programming is the most covered knowledge area at Bachelor level. Other knowledge areas are equally covered at Bachelor and Master level (e.g., software engineering models), while more advanced ones are almost exclusively covered at Master level. We identify three clusters of tightly coupled knowledge areas: (i) requirements, architecture, and design, (ii) testing, verification, and security, and (iii) process-oriented and DevOps topics. Dutch universities generally cover all knowledge areas uniformly, with minor deviations reflecting institutional research strengths. Our results highlight correlations among key knowledge areas and their potential for enhancing integrated learning. We also identify underrepresented areas, such as software engineering economics, which educators may consider including in curricula. We invite researchers to use our research method in their own geographical region, in order to contrast software engineering education programs across the globe.
Recent advances in large pretrained models have led to their widespread integration as core components in modern software systems. The trend is expected to continue in the foreseeable future. Unlike traditional software systems governed by deterministic logic, systems powered by pretrained models exhibit distinctive and emergent characteristics, such as ambiguous capability boundaries, context-dependent behavior, and continuous evolution. These properties fundamentally challenge long-standing assumptions in requirements engineering, including functional decomposability and behavioral predictability. This paper investigates this problem and advocates for a rethinking of existing requirements engineering methodologies. We propose a conceptual framework tailored to requirements engineering of pretrained-model-enabled software systems and outline several promising research directions within this framework. This vision helps provide a guide for researchers and practitioners to tackle the emerging challenges in requirements engineering of pretrained-model-enabled systems.
Generative AI (GenAI) has reshaped software system design by introducing foundation models as pre-trained subsystems that redefine architectures and operations. The emerging challenge is no longer model fine-tuning but context engineering-how systems capture, structure, and govern external knowledge, memory, tools, and human input to enable trustworthy reasoning. Existing practices such as prompt engineering, retrieval-augmented generation (RAG), and tool integration remain fragmented, producing transient artefacts that limit traceability and accountability. This paper proposes a file-system abstraction for context engineering, inspired by the Unix notion that 'everything is a file'. The abstraction offers a persistent, governed infrastructure for managing heterogeneous context artefacts through uniform mounting, metadata, and access control. Implemented within the open-source AIGNE framework, the architecture realises a verifiable context-engineering pipeline, comprising the Context Constructor, Loader, and Evaluator, that assembles, delivers, and validates context under token constraints. As GenAI becomes an active collaborator in decision support, humans play a central role as curators, verifiers, and co-reasoners. The proposed architecture establishes a reusable foundation for accountable and human-centred AI co-work, demonstrated through two exemplars: an agent with memory and an MCP-based GitHub assistant. The implementation within the AIGNE framework demonstrates how the architecture can be operationalised in developer and industrial settings, supporting verifiable, maintainable, and industry-ready GenAI systems.
This study presents the Structural–Typological–Value Sensitivity Model (STVSM), a multi-dimensional framework for evaluating vulnerability in historic buildings where fragility cannot be explained by structural indicators alone. Existing models prioritise load-bearing behaviour but overlook typological discontinuity, spatial fragmentation and erosion of cultural or architectural value. STVSM addresses this through three weighted sub-indices—structural vulnerability (SV), typological degradation (TV) and heritage value (HV)—each calibrated using expert-derived micro–macro coefficients. Field-based deterioration scores (0–1) are multiplied by these final weights to produce SV, TV and HV values, then merged into a Conservation Priority Index (CPI).The model is applied to twenty-five buildings in three heritage contexts: Cumalıkızık traditional houses, vernacular dwellings in Balıkesir–Karesi and nineteenth-century Greek Orthodox churches in Bursa. The churches yield the highest CPI values due to roof loss, wall deformation and spatial discontinuity, reinforced by cultural significance. Vernacular houses show moderate structural deterioration but marked typological distortion linked to later additions and façade alterations. Cumalıkızık houses present heterogeneous conditions, combining preserved structures with material decay.By quantifying structural behaviour, typological integrity and heritage value within a single analytical system, STVSM offers a transparent and repeatable basis for conservation prioritisation across diverse historic building stocks.
The transport hub building's main function is to exchange passengers from one mode to another. The transfer area is the main area of passenger transfer activities in this building. Each transport hub building certainly has different transfer area characteristics from one another. Several factors shape the spatial characteristics of this area. The purpose of this study is to determine the spatial characteristics of the transfer area and, as a theoretical study, to see how the transfer area is an adequate passenger exchange area in case studies of transport hub buildings in the world. The method used to analyze the data is descriptive qualitative. The analysis was carried out by comparing the observed data with existing theoretical variables. The results of this research then conclude in the form of several dominant factors that make the spatial character of the transfer area in transport hub buildings in the world. From the analysis that has been done, it can be concluded that there are characteristics of space-forming elements which are dominated by transparent planes, maximize incoming natural light, have an orientation to the outside of the building, have a broad shape, are dominant and are located in the center of the building.
Technology, Architectural engineering. Structural engineering of buildings
Abstract: Structural simulations play a crucial role in the development of new products, particularly in the early design phase, where insights into performance under different load conditions can significantly influence design choices. This paper explores the application of structural simulations in developing the " Emergencies Safety Capsules", an innovative housing solution, highlighting the necessity and benefits of these simulations in creating safe, reliable, and efficient designs
Architectural engineering. Structural engineering of buildings, Engineering design
Various ideation methods, such as morphological analysis and design-by-analogy, have been developed to aid creative problem-solving and innovation. Among them, the Theory of Inventive Problem Solving (TRIZ) stands out as one of the best-known methods. However, the complexity of TRIZ and its reliance on users' knowledge, experience, and reasoning capabilities limit its practicality. To address this, we introduce AutoTRIZ, an artificial ideation system that integrates Large Language Models (LLMs) to automate and enhance the TRIZ methodology. By leveraging LLMs' vast pre-trained knowledge and advanced reasoning capabilities, AutoTRIZ offers a novel, generative, and interpretable approach to engineering innovation. AutoTRIZ takes a problem statement from the user as its initial input, automatically conduct the TRIZ reasoning process and generates a structured solution report. We demonstrate and evaluate the effectiveness of AutoTRIZ through comparative experiments with textbook cases and a real-world application in the design of a Battery Thermal Management System (BTMS). Moreover, the proposed LLM-based framework holds the potential for extension to automate other knowledge-based ideation methods, such as SCAMPER, Design Heuristics, and Design-by-Analogy, paving the way for a new era of AI-driven innovation tools.
Gabriel Busquim, Hugo Villamizar, Maria Julia Lima
et al.
In recent years, Machine Learning (ML) components have been increasingly integrated into the core systems of organizations. Engineering such systems presents various challenges from both a theoretical and practical perspective. One of the key challenges is the effective interaction between actors with different backgrounds who need to work closely together, such as software engineers and data scientists. This paper presents an exploratory case study to understand the current interaction and collaboration dynamics between these roles in ML projects. We conducted semi-structured interviews with four practitioners with experience in software engineering and data science of a large ML-enabled system project and analyzed the data using reflexive thematic analysis. Our findings reveal several challenges that can hinder collaboration between software engineers and data scientists, including differences in technical expertise, unclear definitions of each role's duties, and the lack of documents that support the specification of the ML-enabled system. We also indicate potential solutions to address these challenges, such as fostering a collaborative culture, encouraging team communication, and producing concise system documentation. This study contributes to understanding the complex dynamics between software engineers and data scientists in ML projects and provides insights for improving collaboration and communication in this context. We encourage future studies investigating this interaction in other projects.
Amany alkinany, Alaa R. Al-Badri , Ahmed H. Al-Hassani
Buildings often use air conditioning systems to regulate the indoor thermal environment in terms of temperature and humidity. These parameters are hard to control within the desired limits by only using traditional constant-speed compressors and constant-speed supply fans. The constant-speed devices with on-off control methods consume a high rate of energy and provide unsatisfactory control, especially for indoor humidity. Therefore, variable speed compressor (VSC) technology was developed to overcome the problems of control and energy consumption. In this study tested a split-type air conditioning system with a capacity of 1 ton (12,000 BTU/hr, 3.5 KW) of refrigeration was tested using R410A as the working fluid under different operating conditions. The system consists of a VSC, an air-cooled condenser, an electronic expansion valve (EEV), and a direct expansion evaporator (DX) with a variable-speed fan. The effect of compressor speed, degree of superheating, EEV opening, and supply fan speed on system performance was considered. Through experiments, concluded several points. First of all, the highest superheat was 20 ℃ at constant compressor speed. On the other hand, the smallest superheat was 10 ℃ at constant compressor speed. The performance coefficient increases when the compressor speed decreases. The highest value of the COP is 4.71, which can be obtained at the compressor speed of 3000 rpm and DS is 20 ℃, while the lowest value of the COP is 1.74 at the compressor speed of 5000 rpm and DS is 10 ℃ because of the increasing the compressor speed leads to an increase in energy consumption and a decrease in the COP, increasing the closing of the expansion valve opening leads to an increase in DS because of a decrease in the flow rate of the refrigerant to the evaporator. Finally, refrigeration capacity and COP increase linearly with evaporator temperature and airflow velocity due to the heat exchange process.
Juliana Cavalheiro Rodrighiero, Ana Lúcia Costa de Oliveira
Este artigo busca compreender a correlação da formação urbana e o patrimônio arquitetônico Eclético em Pelotas, visto que ambos integram a paisagem urbana e cultural da cidade e apresentam uma relação intrínseca desde o seu desenvolvimento, resultando em políticas de preservação simultânea. A cidade de Pelotas, localizada no estado do Rio Grande do Sul, durante os séculos XIX e XX foi considerada como um dos principais polos econômicos do estado, resultantes da alta produtividade da atividade charqueadora da região. O capital excedente
acumulado destas atividades, foi investido em melhorias a fim de consolidar o espaço urbano e na introdução do estilo arquitetônico Eclético – que na contemporaneidade, representa o principal exemplar do patrimônio cultural da cidade. Neste contexto, em razão da conflituosa relação entre a preservação do
patrimônio e a evolução da forma urbana nas cidades contemporâneas, se buscou fazer uma análise na trajetória das políticas públicas a fim de identificar quais
são os parâmetros e as dificuldades para assegurar a preservação de maneira simultânea destes dois elementos. Os dados apontados no trabalho indicam uma correlação entre a forma urbana e o patrimônio Eclético e um direcionamento existente nas políticas de preservação em prol desta preservação.
Architectural engineering. Structural engineering of buildings
The purpose of requirements engineering (RE) is to make sure that the expectations and needs of the stakeholders of a software system are met. Emotional needs can be captured as emotional requirements that represent how the end user should feel when using the system. Differently from functional and quality (non-functional) requirements, emotional requirements have received relatively less attention from the RE community. This study is motivated by the need to explore and map the literature on emotional requirements. The study applies the systematic mapping study technique for surveying and analyzing the available literature to identify the most relevant publications on emotional requirements. We identified 34 publications that address a wide spectrum of practices concerned with engineering emotional requirements. The identified publications were analyzed with respect to the application domains, instruments used for eliciting and artefacts used for representing emotional requirements, and the state of the practice in emotion-related requirements engineering. This analysis serves to identify research gaps and research directions in engineering emotional requirements. To the best of the knowledge by the authors, no other similar study has been conducted on emotional requirements.
Paloma Guenes, Rafael Tomaz, Marcos Kalinowski
et al.
The Impostor Phenomenon (IP) is widely discussed in Science, Technology, Engineering, and Mathematics (STEM) and has been evaluated in Computer Science students. However, formal research on IP in software engineers has yet to be conducted, although its impacts may lead to mental disorders such as depression and burnout. This study describes a survey that investigates the extent of impostor feelings in software engineers, considering aspects such as gender, race/ethnicity, and roles. Furthermore, we investigate the influence of IP on their perceived productivity. The survey instrument was designed using a theory-driven approach and included demographic questions, an internationally validated IP scale, and questions for measuring perceived productivity based on the SPACE framework constructs. The survey was sent to companies operating in various business sectors. Data analysis used bootstrapping with resampling to calculate confidence intervals and Mann-Whitney statistical significance testing for assessing the hypotheses. We received responses from 624 software engineers from 26 countries. The bootstrapping results reveal that a proportion of 52.7% of software engineers experience frequent to intense levels of IP and that women suffer at a significantly higher proportion (60.6%) than men (48.8%). Regarding race/ethnicity, we observed more frequent impostor feelings in Asian (67.9%) and Black (65.1%) than in White (50.0%) software engineers. We also observed that the presence of IP is less common among individuals who are married and have children. Moreover, the prevalence of IP showed a statistically significant negative effect on the perceived productivity for all SPACE framework constructs. The evidence relating IP to software engineers provides a starting point to help organizations find ways to raise awareness of the problem and improve the emotional skills of software professionals.
Increasing the construction capacity, while at the same time significantly reducing harmful emissions and consumption of nonrenewable resources, and still providing a liveable and affordable built environment, provides a great challenge for future construction. In order to achieve this, both the productivity of construction processes and the energy and resource efficiency of construction systems have to be improved in a reciprocal process. Digital technologies make it possible to address these challenges in novel ways. The vision of this Cluster of Excellence IntCDC at the University of Stuttgart and the Max Planck Institute for Intelligent Systems is to harness the full potential of digital technologies to rethink design and construction based on integration and interdisciplinarity, with the goal of laying the methodological foundations to profoundly modernize the design and construction process and related building systems by adopting a systematic, holistic and integrative computational approach. One key objective is to develop an overarching methodology of “co‐designing” methods, processes and systems based on interdisciplinary research encompassing architecture, structural engineering, building physics, engineering geodesy, manufacturing and systems engineering, computer science and robotics, and humanities and social sciences. In this way, the Cluster aims to address the ecological, economic and social challenges and to provide the prerequisites for a high‐quality and sustainable built environment and a digital building culture.
Purpose Building information modelling (BIM) has transformed the traditional practices of the Architecture, Engineering and Construction (AEC) industry. BIM creates a collaborative digital representation of built environment data. Competitive advantage can be achieved with collaborative project delivery and rich information modelling. Despite the abundant benefits, BIM’s adoption in the AEC is susceptible to confrontation. A substantial impediment to BIM adoption often cited is data interoperability. Other facets of interoperability got limited attention. Other academic areas, including information systems, discuss the interoperability construct ahead of data interoperability. These interoperability factors have yet to be surveyed in the AEC industry. This study aims to investigate the effect of interoperability factors on BIM adoption and develop a comprehensive BIM adoption model. Design/methodology/approach The theoretical foundations of the proposed model are based on the European interoperability framework (EIF) and technology, organization, environment framework (TOE). Quantitative data collection from construction firms is gathered. The model has been thoroughly examined and validated using partial least squares structural equation modelling in SmartPLS software. Findings The study’s findings indicate that relative advantage, top management support, government support, organizational readiness and regulation support are determinants of BIM adoption. Financial constraints, complexity, lack of technical interoperability, semantic interoperability, organizational interoperability and uncertainty are barriers to BIM adoption. However, compatibility, competitive pressure and legal interoperability do not affect BIM adoption. Practical implications Finally, this study provides recommendations containing the essential technological, organizational, environmental and interoperability factors that AEC stakeholders can address to enhance BIM adoption. Originality/value To the best of the authors’ knowledge, this paper is one of the first studies to combine TOE and EIF in a single research model. This research provides empirical evidence for using the proposed model as a guide to promoting BIM adoption. As a result, the highlighted determinants can assist organizations in developing and executing successful policies that support BIM adoption in the AEC industry.
The 4th industrial revolution started in 2016 and referred to a new phase in the industrial revolution. One of the most significant technological evolvements during the 4th industrial revolution is Augmented Reality (AR) technology. AR superimposes interactional virtual objects/images to real environments. Because of the interaction and see-through characteristics, AR is better applied to engineering than Virtual Reality (VR). The application of AR in civil infrastructure can avoid artificial mistakes, improve efficiency, and saves budget. This article reviews AR applications in civil infrastructure, focusing on research studies in the latest five years (2016–2020) and their milestone developments. More than half of the AR research and implementation studies have focused on the construction domain in the last five years. Researchers deploy AR technologies in on-site construction to assist in discrepancy checking, collaborative communication, and safety checking. AR also uses building information models (BIMs) to produce detailed 3D structural information for visualization. Additionally, AR has been studied for structural health monitoring (SHM), routine and damage detection, energy performance assessment, crack inspection, excavation, and underground utility maintenance. Finally, AR has also been applied for architecture design, city plan, and disaster prediction as an essential part of smart city service. This article discusses the challenges of AR implementation in civil infrastructure and recommends future applications.
Designing new materials that are both lightweight, damage-tolerant, and sustainable is a primary requirement for the advancement of many technological fields. To date, lattice materials appear to be ideal candidates for achieving such multifunctionality at the material scale and leveraging the structural hierarchy can pave the way to amplify their performance. Nature teaches us that, by designing multiscale architectures through a “bottom-up” logic, it is possible to improve and fine-tune the properties of biological building blocks to get robust and multifunctional materials. Yet, we are still far from achieving such a level of perfection that Nature has. In an attempt to narrow this gap and understand the role of hierarchical strategies in lattice structures, we studied, by finite element modeling, 3D hierarchical lattice structures formed by “beam-based” elementary units. Specifically, we selected two types of unit cells with different mechanical behaviors, we combined them into different topological configurations – through hierarchy and engineering approach – and we studied their mechanical behavior under four-point bending loading. The results of this study are twofold: introducing structural heterogeneity by mixing different unit cell types can be beneficial in terms of mechanical properties, while introducing structural hierarchy does not lead to significant improvements in the deformation behavior of the lattice structures analyzed. The latter, however, significantly changes the surface-to-volume ratios of the lattice structures and thus extends their functionality. The evidence found may open new horizons for applications such as heat exchangers, mechanical filters, tissue regeneration scaffolds, energy storage systems, and packaging.
: Today, moving from a two-dimensional environment to a more advanced interactive three-dimensional (3D) environment in the industries of architecture, engineering, and construction has become one of the most significant topics of interest. This is due to several primary advantages that the 3D environment can offer. Building information modeling (BIM) can be used as a highly advanced system to present a desired reality in a 3D interactive environment accompanied with 3D reality captured data, such as the point cloud data. As such, these 3D environments can be employed for more advanced uses, such as virtual reality and augmented reality technologies (VR and AR). Recently, BIM has been employed in the context of heritage (known as HBIM, or Heritage Building Information Modeling) for different purposes, such as to provide as-built information with the ability to interact with the end user and uploading information (e.g., historical photographs, documents about materials, or any past restoration projects) into the BIM model. This research will focus on providing an interactive rich virtual 3D model for heritage management. This virtual environment can be employed in cultural tourism and used for the abovementioned purposes. The research project has been adopted in the case of the Zainal Historical House (Bayt Zainal) located in the Historic District of Jeddah, Saudi Arabia. This house is described as one of the significant historical buildings in the historic district. The key aim for selecting this case study is to bridge the gap in architectural knowledge regarding these heritage buildings and their hybrid structural systems (i.e., integration of steel or concrete with the traditional “Mangbi” stone technique).