A web site was designed and constructed for the Research + Demonstration Facility (RDF) as a master’s thesis project to help educators teach future architects more interactively by using the dynamic medium of the Internet. Students and faculty will learn about evolving architectural research and technology as well as potential consequences of design decisions. Educators will be able to conduct online research, or tele-experiments, in the classroom thus allowing students to learn, in near real-time, the outcome or progress of research on and off campus. This project presents some of the possibilities of how the Internet can enhance research information delivery to students and faculty of architecture. / Master of Science / Includes ZIP file of associated datasets and documentation.

Software quality is a highly visible topic in the software engineering community. In response to assessing the quality of the documentation of software, this thesis presents a taxonomy of documentation characteristics which can be used to evaluate the quality of computer documentation. Previous work in the area has been limited to individual characteristics of documentation and English prose in general and not organized in such fashion as to be usable in an evaluation procedure. This thesis takes these characteristics, adds others, and systematically establishes a hierarchical structure of characteristics that allow one to assess the quality of documentation. The tree structure has three distinct levels (viz. Qualities, Factors, and QuarzzuÌ ierr), with a root node (or highest characteristic) of Documentation Adequacy. The Qualities are abstract, non-measurable characteristics. The Factors are characteristics that support the assessment of the Qualities; Qualizier are decomposed into Factors. The Quantyiers, which are measurable document characteristics, support the assessment of the Factors. In the thesis, the levels are described and then the characteristics are each defined in terms of evaluation of documentation quality. Finally, an example application is presented as the evaluation taxonomy is tailored to a specific set of documents, those generated by the Automated Design Description System (ADDS). / Master of Science

This research project explores the Hosh house typology, a historic dwelling type in Baghdad facing rapid decline and extinction. The study critically examines historic documentation and employs a wide range of methods to expand knowledge and understanding of the Hosh house. By building an archive around selected architectural objects, the research provides insights in various fields, including architectural anthropology, heritage, craftmanship and sustainable construction. The study draws from scarce and dated documentation, providing new translations of German books on Iraqi architecture, while simultaneously questioning and challenging these findings. The study explores the reasons behind the disappearance of the Hosh house, including urbanization, preference for modern technology and social attitudes. The findings highlight the characteristics and layouts of the Hosh house, presenting the ideal and compromised versions of its design. It also incorporates contemporary sources, such as interviews with local enthusiasts, to fill knowledge gaps and provide a contemporary perspective on the vanishing architectural tradition. Overall, this project contributes to the understanding of the Hosh house's cultural significance within Iraqi architecture and cultural heritage, while emphasizing the need for updated sources and in situ inventories.

No / Patients are increasingly being thought of as central to patient safety. A small but growing body of work suggests that patients may have a role in reporting patient safety problems within a hospital setting. This review considers this disparate body of work, aiming to establish a collective view on hospital-based patient reporting. STUDY OBJECTIVES: This review asks: (a) What can patients report? (b) In what settings can they report? (c) At what times have patients been asked to report? (d) How have patients been asked to report? METHOD: 5 databases (MEDLINE, EMBASE, CINAHL, (Kings Fund) HMIC and PsycINFO) were searched for published literature on patient reporting of patient safety 'problems' (a number of search terms were utilised) within a hospital setting. In addition, reference lists of all included papers were checked for relevant literature. RESULTS: 13 papers were included within this review. All included papers were quality assessed using a framework for comparing both qualitative and quantitative designs, and reviewed in line with the study objectives. DISCUSSION: Patients are clearly in a position to report on patient safety, but included papers varied considerably in focus, design and analysis, with all papers lacking a theoretical underpinning. In all papers, reports were actively solicited from patients, with no evidence currently supporting spontaneous reporting. The impact of timing upon accuracy of information has yet to be established, and many vulnerable patients are not currently being included in patient reporting studies, potentially introducing bias and underestimating the scale of patient reporting. The future of patient reporting may well be as part of an 'error detection jigsaw' used alongside other methods as part of a quality improvement toolkit.

Yes / The project was designed as a retrospective service evaluation using audit to assess the identification and documentation of red flags in initial assessment of patients with low back pain. Firstly, the documentation of 11 predetermined red flags was assessed. Secondly, the documentation of relevant additional information was assessed and finally, compliance with local policy to highlight positive red flag findings in the designated area on the paperwork was examined. The documentation for the majority of red flags was high, however, clear gaps were identified. Additionally, there was no evidence of further clinical consideration of positive red flags during the diagnostic process. Possible factors influencing red flag documentation are discussed and suggestions are provided to improve recording and response to clinical indicators of malignancy.

No / No Abstract

Since humans first put pen to paper, people have critically assessed written work; thus, the assessment of documents per se is not new. Only recently, however, has the issue of formalized document quality assessment become feasible. Enabled by the rapid progress in computing technology, the prospect of an automated, formalized system of quality assessment, based on the presence of certain attributes deemed essential to the quality of a document, is feasible. The existing Objectives/Principles/Attributes Framework, previously applied to code assessment, is modified to allow application to documentation quality assessment. An automated procedure for the assessment of software documentation quality assessment and the development of a prototype documentation analyzer are described. A major shortcoming of the many quality metrics that are proposed in computer science is their lack of empirical validation. In pursuit of such necessary validation for the measures proposed within this thesis, a study is performed to determine the agreement of the measures rendered by Docalyze with those of human evaluators. This thesis demonstrates the applicability of a quality assessment framework to the documentation component of a software product. Further, the validity of a subset of the proposed metrics is demonstrated. / Master of Science

Documentation is a burgeoning field that has been explored by researchers in a range of disciplines and practices, including performance, theatre, film, music, opera, digital and new media arts, archival and museum studies, conservation, curation, and human computer interaction. Methods have varied significantly across these fields, though the increased popularity of performative and digital practices has tended to bring disciplinary approaches closer together. More and more commonly do artists, researchers, and cultural organisations document not only the reception or user experiences of an artwork, but also its creation (even retrospectively) and iterative development over time, offering detail about a given artwork’s context, convergence, and even deterioration. Here, we chose to bring together a series of researchers from different disciplines spanning music, conservation, curation, film, festivals, video games, digital art, and installation art to map the very latest trends in their respective fields which they chose to discuss through a series of case studies focussing on specific museums, artworks, festivals and conservation practices.

This article is interested in the documentation necessary for exhibiting interactive, digital installations, how it is created and how it influences the way an artwork is deployed in an exhibition. Digital artworks can be extremely difficult to install. They require specific knowledge, variable materials and technological equipment. Moreover, digital artworks can be ephemeral and subject to change. Documenting digital art is not only important for preserving and restoring works for the future but also for installing digital artworks in the present. Documentation functions as a set of guidelines for limiting errors and misinterpretations. Therefore, documentation impacts the actualisation of each artwork by indicating which elements are needed and how they should be connected. By providing instructions regarding how to install an artwork, documentation also allows the artist or the collecting institution to exercise authority over an artwork.

This thesis explores the integration of generative AI and large language models (LLMs) into software documentation processes, assessing their impact on developer productivity. The research focuses on the development of a documentation system powered by an LLM, which automates the creation and retrieval of software documentation. The study employs a controlled experiment followed by a survey involving software developers to quantify changes in productivity through various metrics such as effectiveness, velocity, and quality of documentation generated by the system. Background: The increasing complexity of software development necessitates efficient documentation systems. Traditional methods, often manual and time-consuming, struggle to keep pace with the dynamics of software development, potentially leading to outdated and inadequate documentation. Objectives: To investigate whether a documentation system powered by an LLM can enhance developers’ productivity in software documentation tasks by assisting developers with the creation of development documentation and facilitating the retrieval of relevant information. Method: A controlled experiment followed by a survey were conducted, wherein participants were tasked with generating and using documentation through both manual and LLM-assisted methods. The effectiveness, velocity, and quality of the documentation were measured and compared. Results: The findings indicate that the LLM-powered documentation system significantly enhances developer productivity. Developers using the system were able to produce and comprehend documentation more quickly and accurately than those using the manual method. Furthermore, the quality of the documentation, assessed in terms of comprehensibility, completeness, and readability, was consistently higher when generated by the LLM system. Conclusions: The integration of LLMs into software documentation processes can significantly enhance developer productivity by automating routine tasks and improving the quality of documentation. This supports software developers in maintaining current projects and also assists in the onboarding process of new team members by providing easier access to necessary documentation. / Denna avhandling utforskar integrationen av generativ AI och stora språkmodeller (LLM) i processer för mjukvarudokumentation, och bedömer deras inverkan på utvecklares produktivitet. Forskningen fokuserar på utvecklingen av ett dokumentationssystem drivet av en LLM, som automatiserar skapandet och hämtningen av mjukvarudokumentation. Studien använder ett kontrollerat experiment följt av en enkät som involverar professionella mjukvaruutvecklare för att kvantifiera förändringar i produktivitet genom olika mått som effektivitet, hastighet och kvalitet på dokumentation genererad av systemet. Bakgrund: Den ökande komplexiteten i mjukvaruutveckling kräver effektiva dokumentationssystem. Traditionella metoder, ofta manuella och tidskrävande, har svårt att hålla jämna steg med dynamiken i mjukvaruutveckling, vilket potentiellt kan leda till föråldrad och otillräcklig dokumentation. Syfte: Att undersöka om ett dokumentationssystem drivet av en LLM kan förbättra utvecklares produktivitet i uppgifter relaterade till mjukvarudokumentation genom att assistera utvecklare med att skapa utvecklingsdokumentation och underlätta hämtningen av relevant information. Metod: Ett kontrollerat experiment följt av en enkät genomfördes, där deltagarna hade i uppgift att generera och använda dokumentation genom både manuella och LLM-assisterade metoder. Effektiviteten, hastigheten och kvaliteten på dokumentationen mättes och jämfördes. Resultat: Resultaten visar att dokumentationssystemet drivet av LLM väsentligen förbättrar utvecklarnas produktivitet. Utvecklare som använde systemet kunde producera och förstå dokumentation snabbare och mer exakt än de som använde den manuella metoden. Vidare var kvaliteten på dokumentationen, bedömd i termer av begriplighet, fullständighet och läsbarhet, konsekvent högre när den genererades av LLM-systemet. Slutsatser: Integrationen av LLM i mjukvarudokumentationsprocesser kan väsentligen förbättra utvecklarnas produktivitet genom att automatisera rutinuppgifter och förbättra kvaliteten på dokumentation. Detta stöder inte bara mjukvaruutvecklare i att underhålla pågående projekt utan hjälper också till med introduktionen av nya teammedlemmar genom att ge enklare tillgång till nödvändig dokumentation.