4 research outputs found

    Application of software mining to automatic user interface generation

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    Many software projects spend a significant proportion of their time developing the User Interface, so any degree of automation in this area has clear benefits. Research projects to date generally take one of three approaches: interactive graphical specification tools, model-based generation tools, or languagebased tools. The first two have proven popular in industry but are labour intensive and error-prone. The third is more automated but has practical problems which limit its usefulness. This paper proposes applying the emerging field of software mining to perform runtime inspection of an application's architecture and reduce the labour intensive nature of interactive graphical specification tools and model-based generation tools. It also proposes UI generation can be made more practical by delimiting useful bounds to the generation process. The paper concludes with a description of a prototype project that implements these ideas

    Collaboration Between Developers and Designers

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    Customer-facing applications are essential for businesses. Therefore, a good user experience is fundamental for their success in the market. Companies nowadays employ highly specialized people in front-end development and User Experience (UX) & User Interface (UI) design to achieve this goal. Their collaboration is critical, and raises some efficiency challenges in the software industry. This work focuses and is applied on OutSystems, a low-code platform that inherits these challenges. While there are some code-generation plugins for popular design tools, these do not generate code for low-code platforms. Therefore, the transformation process from design to development is done 100% manually, which is highly inefficient. Our goal is to accelerate this transformation process from a design model to a development model to mitigate this inefficiency. To do so, we developed an approach using model transformation techniques that automates part of the process. Namely, it automates the generation of application pages/screens by composing the screen mockups in a design technology (such as Figma or Sketch) with a library of reusable UI components to instantiate the design in a front-end technology (such as OutSystems). Our approach was validated by a professional team of front-end developers from an established enterprise-grade low-code platform who applied and evaluated this work on some of their past real projects. Preliminary results show an overall acceptance of the developed tool with a possible increase of 150% to 400% in the value that they can deliver without investing more effort than they already do today. This mitigates a bottleneck faced by development teams today. To increase the value, they could offer to customers (e.g., by producing more application screens in the same period), they would need to recruit new collaborators whose skill set is high on demand. This work delivers major efficiency improvements and lessens the severe lack of qualified professionals, by allowing existing ones to produce more without investing further effort.As aplicações são algo essencial para as empresas. Uma boa experiência de utilizador é fundamental para o sucesso destas aplicações no mercado. Hoje em dia, para alcançar este objetivo, as empresas empregam pessoas altamente especilaizadas em desenvolvimento Front-End e de UX (User Experience) & UI (User Interface) design. A colaboração destas equipas é crucial e de momento apresenta desafios de eficiência na indústria do software. Este trabalho foca-se na OutSystems, uma plataforma low-code, que tem subjacente estas ineficiências que estão presentes em toda a industria. Embora atualmente existam alguns plugins de geração de código para as ferramentas de design populares, estes não geram código para plataformas low-code. Portanto, o processo de transformação de design para desenvolvimento é um processo 100% manual, o que resulta em perdas de eficiência que serão refletidas no valor final entregue aos clientes. O nosso objetivo é acelarar este processo de conversão de um modelo de design para um modelo de desenvolvimento Front-End para mitigar esta ineficiência. Para tal, desenvolvemos uma abordagem utilizando técnicas de transformação de modelos que automatizam parte do processo. Nomeadamente, este automatiza a geração de páginas/ecrãs de aplicações através da composição de mockups de ecrãs numa tecnologia de design (como o Sketch) com uma biblioteca de componentes de UI reutilizáveis para instanciar o design numa tecnologia Front-End (como a OutSystems). A nossa abordagem foi validada por uma equipa profissional de desenvolvimento Front-End de uma plataforma low-code de nível empresarial que aplicaram e avaliaram o trabalho em projetos passados reais da equipa. Os resultados preliminares mostram uma aceitação global da ferramenta desenvolvida, com um possível aumento entre 150% a 400% no valor que conseguem oferecer. Isto permite mitigar um ponto de fricção que as equipas de desenvolvimento encontram de momento. Para aumentar o valor que a equipa consegue entregar aos clientes (por exemplo, através da produção de mais ecrãs no mesmo período de tempo), estes necessitariam de empregar novos colaboradores cujas habilidades têm elevada procura. O nosso trabalho oferece uma alternativa mais económica para o aumento da eficiência e ao mesmo tempo diminui o impacto da escassez de profissionais qualificados, ao permitir que os já existentes consigam produzir mais sem investimento adicional da sua parte

    Annotation of Musical Scores: Interaction and Use Behaviours of Performing Musicians

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    This qualitative research study was an attempt to gain a deeper understanding of the interaction and use behaviors of performing musicians. Through qualitative data analysis of 25 musician interviews, and 193 musical scores (or parts), representing over 25,000 separate annotations, this project uncovered the motivations, necessary knowledge, and methods by which musicians annotate and thereby internalize the instructions set out in the score. The aggregate data from the interviews and data analysis provide the basis for understanding annotation's utility for future users, and the development of more robust and useful music digital library tools and systems. This research also has the more general and theoretical applicability for those interested in how humans interact with interpretable, structured, largely symbolic and formalized information. Bringing together practical applications and theoretical concerns, the findings generated by this research will have wide effect in the Information Science community
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