This thesis addresses the problem of automated graphical user interface generation for functional programs. First an analysis of current state in the field of automated GUI generation is performed. Based on the analysis the concept of Functionally Structured User Interface (FSUI) is introduced. Meta-data system for code annotation is then specified for the Clojure programming language and a transformation from this system to FSUI data model is implemented. Finally a graphical layer for displaying the actual interface is implemented in Clojure. Benefits of this approach are demonstrated by proof-of-concept case study.

The field of robotics is growing rapidly due to the demand of robotic labor, but it is still relatively complicated for someone unexperienced to program a robot. In this project we have developed a web-based graphical user interface and scripting language for programming robot arms. The goal was to make the user interface so easy to use that people with no previous experience can use it to program the robots. The finished product is a web-based drag and drop application which generates robot control code in FeatherScript, a scripting language built by us for this project. The graphical user interface satisfies all technical requirements and from a survey on user experience we can conclude that the GUI is easy to use. / Robotindustrin växer fort tillsammans med efterfrågan på robotar, men de är idag fortfarande relativt komplicerade att programmera för någon utan tidigare erfarenhet av robotar och/eller programmering. Vi har utvecklat ett webbaserat grafiskt användargränssnitt och skriptspråk för programmering av robotarmar. Målet var att göra användargränssnittet så pass lättanvänt att personer utan tidigare erfarenhet kan använda det för att programmera robotar. Vår slutprodukt är en webbaserad drag-and-drop-applikation som generar robotkod i FeatherScript, ett skriptspråk byggt av oss under detta projekt. Det grafiska användargränssnittet uppfyller alla tekniska krav och genom att utföra en enkät om användarbarhet så kan vi även konstatera att gränssnittet är enkelt att använda.

Neste trabalho desenvolvemos um método de controle e aquisição de dados, particularmente aplicado a medidas de correntes termoestimuladas (TSC), mas que podem ser estendidas a sistemas semelhantes. O sistema automatizado de medidas TSC em plataforma GUI, foi implementado de modo a realizar o controle da temperatura de uma estufa, de forma que seja possível gerar rampas lineares com taxas programáveis, e também a leitura de sinais analógicos referentes ao sistema, como corrente e temperatura, e processar os sinais obtendo como resultado curvas gráficas (sinais processados em função do tempo). Os resultados são armazenados e podem ser exibidos, ou impressos e transferidos para o padrão de arquivo de entrada de outros aplicativos. Os dados são obtidos em tempo real e o sistema utiliza conceitos da tecnologia GUI, onde provemos um estudo desta, gerando janelas com interação orientada a eventos e uma interface gráfica com o usuário bastante interativa. O sistema faz uso de microcomputador padrão IBM PC AT e utiliza o MS-Windows 3.1 como plataforma GUI (\"GraphicsUser Interface\"). / A method for control and data acquisition using GUI environment, applied to thermal and electrical measurements was developed. The method was specifically applied to thermal stimulated current (TSC), but it can be extended to similar systems. The GUI - based automated TSC system maked possible the accurate control of the oven temperature, at different heating rates. This system performs the data acquisition of analogic signals (current and temperature, for instance), and those signals are processed generating functions of time and/or temperature (TSC curves, for example). Stored results can be displayed, printed, as well as transferred to files, which are compatible to standard applicative for data treatment. Data are obtained in real time and the system uses GUI concepts, which are extensively studied in this work, generating events oriented windows and a user-friendly graphical interface. The system configuration consists of an IBM PC AT microcomputer and the MS-Windows 3.1 is used as the GUI environment.

Submitted by Fabio Sobreira Campos da Costa (fabio.sobreira@ufpe.br) on 2016-12-01T14:33:08Z No. of bitstreams: 2 license_rdf: 1232 bytes, checksum: 66e71c371cc565284e70f40736c94386 (MD5) Dissertação_Kamila_Queiroz.pdf: 2031256 bytes, checksum: 11934292ef99e7d010a7bdd8c3309096 (MD5) / Made available in DSpace on 2016-12-01T14:33:08Z (GMT). No. of bitstreams: 2 license_rdf: 1232 bytes, checksum: 66e71c371cc565284e70f40736c94386 (MD5) Dissertação_Kamila_Queiroz.pdf: 2031256 bytes, checksum: 11934292ef99e7d010a7bdd8c3309096 (MD5) Previous issue date: 2016-02-19 / CNPQ / A inspeção termográfica tem emergido como um método potencial para melhorar a eficiência da detecção precoce do câncer de mama. A técnica não utiliza radiação ionizante e possui a vantagem de facilitar a realização de exames de mama em homens e detectar alterações nas mamas de mulheres mais jovens. Sistemas de diagnóstico auxiliado por computador (CAD) são métodos importantes no subsídio à decisão médica e são usados para melhorar a consistência da interpretação das imagens. Normalmente, estes sistemas são associados a interfaces gráficas para facilitar o trabalho dos usuários e tornar o programa desenvolvido acessível a pesquisadores e/ou médicos ligados à área. O objetivo desta dissertação é desenvolver uma interface gráfica de usuário (GUI – Graphical User Interface) prática e que possibilite a detecção de anormalidades a partir de termogramas de mamas. Para isto foram implementados sistemas de CAD baseados em classificadores estatísticos, além de análises relacionadas ao quantitativo de casos clínicos e sua relação com a idade das pacientes. As regiões de interesse foram segmentadas tanto de forma semiautomática quanto de forma automática, as quais estão associadas, respectivamente, ao classificador SVM (Support Vector Machine) e ao classificador baseado na distância de Mahalanobis. Com o intuito de identificaras anormalidades das mamas, participaram noventa e oito pacientes do Hospital das Clínicas da Universidade Federal de Pernambuco, as quais serviram para construir a base de dados para a classificação individual de determinada paciente. A eficácia da classificação para esta amostra foi medida através da sensibilidade e da especificidade ao grupo Maligno, e das taxas de acerto das classes Benigno, Cisto e Normal. A GUI desenvolvida foi avaliada através do estudo das imagens termográficas de cinco pacientes pertencentes às diferentes classes. No presente trabalho, apresentam-se resultados para o classificador Mahalanobis e para o classificador SVM, além de suas variações. / The infrared thermography has emerged as a potential method to improve the efficiency of the early detection of the breast cancer. This technique does not use ionizing radiation and is also suitable to breast screening in men, as well as is able to detect changes in the younger women’s breasts. Computer-aided diagnosis (CAD) systems are important to medical decision and are used to improve image interpretation. Typically, these systems are associated with graphical interfaces to facilitate users’ work. Furthermore the developed framework can be an important tool (GUI - Graphical User Interface) for the people interested in breast abnormalities detection. In the sense, the CAD systems were implemented based on statistical classifiers. Some statistical analyses associated to quantitative clinical cases were performed. The relation to patients’ age was also analyzed. The regions of interest were segmented in automatic and semiautomatic manners, which are respectively associated with the SVM (Support Vector Machine) classifier and the Mahalanobis classifier. Ninety eight patients images from the Hospital das Clínicas (HC) of Federal University of Pernambuco (UFPE) participated in the tests. The classification efficiency for this sample was measured using the sensitivity and the specificity to the malignant group, and to the accuracy of classifying the classes: Benign, Cyst and Normal. The GUI created was evaluated through the study of thermographic images of five patients with the different referred classes. In the present work, the results for the Mahalanobis classifier and SVM classifier are presented.

Graphical user interfaces represent significant part of computer systems. This causes an increase of demands for their proper behavior, which can be achieved by a proper testing during development. This thesis describes the principles of model based testing for automated generation of test cases. In this way, the productivity of test teams can increase. The thesis defines model for modeling the most common GUI elements, algorithm for obtaining such a model from the GUI, and a tool for definition of coverage criteria.

This thesis describes a system for automated GUI testing using assistive technologies for accessing and manipulating GUI elements. The only input from the user to automated test system is a description of UI events and activities. For this purpose, a specialized language is proposed. The test system then automatically generates possible sequences of UI events applying a given criterion. Generated test set is executed by Python interpreter exploiting the Linux Desktop Testing Project (LDTP). Test system described in this thesis then provides reports and coverage evaluation for particular test cases and the whole test set.

Due to a high competitive pressure on the global software market, in many areas the software industry is moving from hand crafting to semi-automatic or automatic software construction based on Software Product Lines (SPL). Techniques to automate the construction of software products from SPLs are widely available. These can handle variability in source code artifacts but they are inappropriate to handle variability in Graphical User Interfaces (GUIs). The main reason is that they are not designed to handle such fine grained configurations as they are required to configure GUI frameworks or toolkits. To nevertheless employ them in GUI generation tasks is complex and time consuming. However, in the Human Computer Interaction (HCI) community approaches to develop GUIs in a model-based manner and with constraint-based techniques are worked on that help automate the construction of GUIs. Therefore, the main hypothesis of the proposed research is that constraint-based GUIs techniques are a well suited basis for reducing the customization effort of generated GUIs of SPLs. The paper proposes a research plan to employ these new HCI techniques in generating GUIs for SPLs.

The goal is to design and to implement a library for developing Java applications controlled over WWW. This library provides a virtual graphical user interface and it implements the network communication with a real remote graphical user interface. The remote graphical user interface is implemented as a Java applet. The proposed solution is based on the Remote Method Invocation (RMI) framework that provides the communication between the applet and the application running on the server.

The company Tietoevry in Karlstad uses regression testing when working with networks. When a test fails, manual modifications to a command in a text file must be done and a re-test must be performed by executing the command. The process of retesting is both time consuming and error prone. Furthermore, as the number of re-testing processes is constantly increasing, Tietoevry needs a graphical user interface (GUI) to help testers and facilitate the re-testing process. The project’s main aim was to create a GUI that makes re-testing processes less time consuming and less error prone. The project has resulted in a GUI that will serve as a valuable tool for testers. It allows them to conveniently alter commands without the need for manual modifications to text files. The GUI will significantly reduce the time required for the re-testing processes, while also reducing errors.

Denna rapport kommer fokusera på att beskriva processen på den fortsatta utvecklingen av det grafiska användargränssnittet (GUI) för Hanabi Benchmark. Hanabi är ett kortspel som introducerats som ett nytt forskningsområde inom artificiell intelligens (AI). Målet med projektet var att implementera en mänsklig användare, som sedan skulle kunna spela med maskin lärlingsbaserade agenter med andra ord icke-mänskliga spelare genom GUI.För att uppnå målen, implementerade vi kontroller för den mänskliga användaren i GUI. Modeller av agenter integrerades in till GUI som mänskliga användaren sedan skulle spela med. Slutligen utfördes en användarstudie för att utvärdera de olika agenternas prestation. / This report will describe the further development of the Graphical User Interface (GUI) for the Hanabi Benchmark. Hanabi is a card game that has been introduced as a new frontier for artificial intelligence (AI). The goal of the project was to implement a human-user, into the GUI, and give the possibility to play against Machine Learning (ML) based agents, viz, non-human players in the GUI.To achieve these goals, we implemented human controls into the GUI to give a human user the option to play the game in the GUI. Agent models were integrated into to the GUI for the human to play with. Finally, a small study was conducted to evaluate the agent’s performances.