Code Smells in iOS Apps: How do they compare to Android?

International audienceWith billions of app downloads, the Apple App Store and Google Play Store succeeded to conquer mobile devices. However, this success also challenges app developers to publish high-quality apps to keep attracting and satisfying end-users. In particular, taming the ever-growing complexity of mobile apps to cope with maintenance and evolution tasks under such a pressure may lead to bad development choices. While these bad choices, a.k.a. code smells, are widely studied in object-oriented software, their study in the context of mobile apps, and in particular iOS apps, remains in its infancy.Therefore, in this paper, we consider the presence of object-oriented and iOS-specific code smells by analyzing 279 open-source iOS apps. As part of this empirical study, we extended the Paprika toolkit, which was previously designed to analyze Android apps, in order to support the analysis of iOS apps developed in Objective-C or Swift. We report on the results of this analysis as well as a comparison between iOS and Android apps. We comment our findings related to the quality of apps in these two ecosystems. Interestingly, we observed that iOS apps tend to contain the same proportions of code smells regardless of the development language, but they seem to be less prone to code smells compared to Android apps

Detection of microservice smells through static analysis

A arquitetura de microsserviços é um modelo arquitetural promissor na área de software, atraindo desenvolvedores e empresas para os seus princípios convincentes. As suas vantagens residem no potencial para melhorar a escalabilidade, a flexibilidade e a agilidade, alinhando se com as exigências em constante evolução da era digital. No entanto, navegar entre as complexidades dos microsserviços pode ser uma tarefa desafiante, especialmente à medida que este campo continua a evoluir. Um dos principais desafios advém da complexidade inerente aos microsserviços, em que o seu grande número e interdependências podem introduzir novas camadas de complexidade. Além disso, a rápida expansão dos microsserviços, juntamente com a necessidade de aproveitar as suas vantagens de forma eficaz, exige uma compreensão mais profunda das potenciais ameaças e problemas que podem surgir. Para tirar verdadeiramente partido das vantagens dos microsserviços, é essencial enfrentar estes desafios e garantir que o desenvolvimento e a adoção de microsserviços sejam bem-sucedidos. O presente documento pretende explorar a área dos smells da arquitetura de microsserviços que desempenham um papel tão importante na dívida técnica dirigida à área dos microsserviços. Embarca numa exploração de investigação abrangente, explorando o domínio dos smells de microsserviços. Esta investigação serve como base para melhorar um catálogo de smells de microsserviços. Esta investigação abrangente obtém dados de duas fontes primárias: systematic mapping study e um questionário a profissionais da área. Este último envolveu 31 profissionais experientes com uma experiência substancial no domínio dos microsserviços. Além disso, são descritos o desenvolvimento e o aperfeiçoamento de uma ferramenta especificamente concebida para identificar e resolver problemas relacionados com os microsserviços. Esta ferramenta destina-se a melhorar o desempenho dos programadores durante o desenvolvimento e a implementação da arquitetura de microsserviços. Por último, o documento inclui uma avaliação do desempenho da ferramenta. Trata-se de uma análise comparativa efetuada antes e depois das melhorias introduzidas na ferramenta. A eficácia da ferramenta será avaliada utilizando o mesmo benchmarking de microsserviços utilizado anteriormente, para além de outro benchmarking para garantir uma avaliação abrangente.The microservices architecture stands as a beacon of promise in the software landscape, drawing developers and companies towards its compelling principles. Its appeal lies in the potential for improved scalability, flexibility, and agility, aligning with the ever-evolving demands of the digital age. However, navigating the intricacies of microservices can be a challenging task, especially as this field continues to evolve. A key challenge arises from the inherent complexity of microservices, where their sheer number and interdependencies can introduce new layers of intricacy. Furthermore, the rapid expansion of microservices, coupled with the need to harness their advantages effectively, demands a deeper understanding of the potential pitfalls and issues that may emerge. To truly unlock the benefits of microservices, it is essential to address these challenges head-on and ensure a successful journey in the world of microservices development and adoption. The present document intends to explore the area of microservice architecture smells that play such an important role in the technical debt directed to the area of microservices. It embarks on a comprehensive research exploration, delving into the realm of microservice smells. This research serves as the cornerstone for enhancing a microservice smell catalogue. This comprehensive research draws data from two primary sources: a systematic mapping research and an industry survey. The latter involves 31 seasoned professionals with substantial experience in the field of microservices. Moreover, the development and enhancement of a tool specifically designed to identify and address issues related to microservices is described. This tool is aimed at improving developers' performance throughout the development and implementation of microservices architecture. Finally, the document includes an evaluation of the tool's performance. This involves a comparative analysis conducted before and after the tool's enhancements. The tool's effectiveness will be assessed using the same microservice benchmarking as previously employed, in addition to another benchmark to ensure a comprehensive evaluation

Test-driven development of embedded control systems: application in an automotive collision prevention system

With test-driven development (TDD) new code is not written until an automated test has failed, and duplications of functions, tests, or simply code fragments are always removed. TDD can lead to a better design and a higher quality of the developed system, but to date it has mainly been applied to the development of traditional software systems such as payroll applications. This thesis describes the novel application of TDD to the development of embedded control systems using an automotive safety system for preventing collisions as an example. The basic prerequisite for test-driven development is the availability of an automated testing framework as tests are executed very often. Such testing frameworks have been developed for nearly all programming languages, but not for the graphical, signal driven language Simulink. Simulink is commonly used in the automotive industry and can be considered as state-of-the-art for the design and development of embedded control systems in the automotive, aerospace and other industries. The thesis therefore introduces a novel automated testing framework for Simulink. This framework forms the basis for the test-driven development process by integrating the analysis, design and testing of embedded control systems into this process. The thesis then shows the application of TDD to a collision prevention system. The system architecture is derived from the requirements of the system and four software components are identified, which represent problems of particular areas for the realisation of control systems, i.e. logical combinations, experimental problems, mathematical algorithms, and control theory. For each of these problems, a concept to systematically derive test cases from the requirements is presented. Moreover two conventional approaches to design the controller are introduced and compared in terms of their stability and performance. The effectiveness of the collision prevention system is assessed in trials on a driving simulator. These trials show that the system leads to a significant reduction of the accident rate for rear-end collisions. In addition, experiments with prototype vehicles on test tracks and field tests are presented to verify the system’s functional requirements within a system testing approach. Finally, the new test-driven development process for embedded control systems is evaluated in comparison to traditional development processes

Control Strategies for Self-Adaptive Software Systems

The pervasiveness and growing complexity of software systems are challenging software engineering to design systems that can adapt their behavior to withstand unpredictable, uncertain, and continuously changing execution environments. Control theoretical adaptation mechanisms have received growing interest from the software engineering community in the last few years for their mathematical grounding, allowing formal guarantees on the behavior of the controlled systems. However, most of these mechanisms are tailored to specific applications and can hardly be generalized into broadly applicable software design and development processes. This article discusses a reference control design process, from goal identification to the verification and validation of the controlled system. A taxonomy of the main control strategies is introduced, analyzing their applicability to software adaptation for both functional and nonfunctional goals. A brief extract on how to deal with uncertainty complements the discussion. Finally, the article highlights a set of open challenges, both for the software engineering and the control theory research communities

Guidelines for Testing Microservice-based Applications

Há uma tendência no desenvolvimento de software de adotar uma arquitetura baseada em microserviços. Apesar de vários benefícios como maior modularização, escalabilidade e manutenibilidade, esta abordagem levanta outros desafios para a organização. Ao aplicar este padrão de arquitetura, a estratégia de teste precisa de ser ajustada. Um sistema baseado em microserviços é inerentemente distribuído e pressupõe que os vários serviços estejam em constante comunicação entre si, através de conexões de rede, para responder aos requisitos de negócio. Testar um microserviço por si só é mais fácil, pois este está naturalmente isolado do resto do sistema, mas a execução de testes de integração torna-se mais complexa. A utilização de microserviços também oferece várias opções sobre onde e o que testar. Este trabalho tem o objetivo de estudar, comparar e sistematizar soluções e abordagens atuais para o desenvolvimento de testes em sistemas baseados em microserviços e propor um conjunto de diretrizes, métodos e boas práticas universais para facilitar o seu processo de testagem, ajudando as organizações a produzir testes com qualidade, mais valiosos e com menos custos. De modo a perceber os problemas e desafios enfrentados a testar microserviços, um projeto em forma de prova de conceito (PoC) e utilizando uma arquitetura baseadas em microserviços foi planeado, desenhado e testes, relativos a alguns casos de uso foram investigados. Também foram sugeridos um conjunto de indicadores que pretendem medir a qualidade e valor da estratégia de testes. Para cada indicador foi proposto onde pode ser recolhido, um racional com a explicação do seu propósito e uma escala de medida. Este trabalho concluiu que, apesar da existência de estratégias e frameworks de testes capazes de ajudar as organizações a testar as suas aplicações corretamente, é necessária a mentalidade certa para atingir uma estratégia de testes de qualidade. Deste modo, este trabalho propõe um conjunto de recomendações e boas práticas que promovem a mentalidade correta para desenhar e implementar testes sobre todas as camadas do sistema. São também sugeridos passos a seguir para definir e decompor cenários de teste, e soluções para os vários tipos de testes estudados. Assim, este trabalho pode também ser considerado uma base de conhecimento na área de testes em microserviços e ajudar a acelerar a sua adoção.There’s a trend in software development to adopt a microservice-based architecture. Despite several benefits such as increased modularization, scalability and maintainability, this approach brings other challenges to the table. When applying this architectural pattern, the testing strategy needs to be adapted. A microservice-based application presupposes that the various services that compose the system are communication with each other, across network boundaries, to fulfil business requirements and is inherently distributed. Testing a microservice by itself is easier, as it is naturally isolated from the rest of the system, but integration testing becomes more challenging. Microservices also offer several options about where and what to test. This work focus on studying, comparing, and systemizing current solutions and approaches for testing in microservice-based systems and proposing a set of universal guidelines, methods, and best practices to facilitate microservice-based application testing, helping organizations produce more valuable and quality tests with less costs. To understand the problems and challenges presented by microservices testing, a proof-ofconcept (PoC) project, using a microservice-based architecture, was designed and tests for some use cases were explored. Furthermore, indicators to measure test quality and value were proposed, describing it source, rational and measurement scale. This works concludes that, although many testing approaches and frameworks exist that can help organizations test their applications correctly, they need to be used with the right mindset. To achieved this, this work proposes a set of guidelines and best practices that promote the right mindset for designing and implementation tests at all system layers. It also proposes a workflow for test definition and decomposition, and solutions for the various studied testing types

Advances in Computer Science and Engineering

The book Advances in Computer Science and Engineering constitutes the revised selection of 23 chapters written by scientists and researchers from all over the world. The chapters cover topics in the scientific fields of Applied Computing Techniques, Innovations in Mechanical Engineering, Electrical Engineering and Applications and Advances in Applied Modeling

Neuromorphic Systems for Pattern Recognition and Uav Trajectory Planning

Detection and control are two essential components in an intelligent system. This thesis investigates novel techniques in both areas with a focus on the applications of handwritten text recognition and UAV flight control. Recognizing handwritten texts is a challenging task due to many different writing styles and lack of clear boundary between adjacent characters. The difficulty is greatly increased if the detection algorithms is solely based on pattern matching without information of dynamics of handwriting trajectories. Motivated by the aforementioned challenges, this thesis first investigates the pattern recognition problem. We use offline handwritten texts recognition as a case study to explore the performance of a recurrent belief propagation model. We first develop a probabilistic inference network to post process the recognition results of deep Convolutional Neural Network (CNN) (e.g. LeNet) and collect individual characters to form words. The output of the inference network is a set of words and their probability. A series of post processing and improvement techniques are then introduced to further increase the recognition accuracy. We study the performance of proposed model through various comparisons. The results show that it significantly improves the accuracy by correcting deletion, insertion and replacement errors, which are the main sources of invalid candidate words. Deep Reinforcement Learning (DRL) has widely been applied to control the autonomous systems because it provides solutions for various complex decision-making tasks that previously could not be solved solely with deep learning. To enable autonomous Unmanned Aerial Vehicles (UAV), this thesis presents a two-level trajectory planning framework for UAVs in an indoor environment. A sequence of waypoints is selected at the higher-level, which leads the UAV from its current position to the destination. At the lower-level, an optimal trajectory is generated analytically between each pair of adjacent waypoints. The goal of trajectory generation is to maintain the stability of the UAV, and the goal of the waypoints planning is to select waypoints with the lowest control thrust throughout the entire trip while avoiding collisions with obstacles. The entire framework is implemented using DRL, which learns the highly complicated and nonlinear interaction between those two levels, and the impact from the environment. Given the pre-planned trajectory, this thesis further presents an actor-critic reinforcement learning framework that realizes continuous trajectory control of the UAV through a set of desired waypoints. We construct a deep neural network and develop reinforcement learning for better trajectory tracking. In addition, Field Programmable Gate Arrays (FPGA) based hardware acceleration is designed for energy efficient real-time control. If we are to integrate the trajectory planning model onto a UAV system for real-time on-board planning, a key challenge is how to deliver required performance under strict memory and computational constraints. Techniques that compress Deep Neural Network (DNN) models attract our attention because they allow optimized neural network models to be efficiently deployed on platforms with limited energy and storage capacity. However, conventional model compression techniques prune the DNN after it is fully trained, which is very time-consuming especially when the model is trained using DRL. To overcome the limitation, we present an early phase integrated neural network weight compression system for DRL based waypoints planning. By applying pruning at an early phase, the compression of the DRL model can be realized without significant overhead in training. By tightly integrating pruning and retraining at the early phase, we achieve a higher model compression rate, reduce more memory and computing complexity, and improve the success rate compared to the original work

Implementation of a thermal-based food recommendation system

Mestrado de dupla diplomação com a UTFPR - Universidade Tecnológica Federal do ParanáO modelo convencional de uma consulta de nutricionista baseia-se na análise dos dados do paciente pelo nutricionista e na provisão de um plano nutricional com base nos objetivos do paciente, e este ciclo é repetido a cada consulta. Para fazer isso, o nutricionista coleta a maior quantidade de informações possíveis durante a consulta e é com base nesse conjunto de dados que ele estabelece o plano nutricional. Por outro lado, a definição desse plano não é uma tarefa fácil, pois existe uma grande variedade de alimentos e o plano deve seguir muitas restrições e ao mesmo tempo dar alguma liberdade para o paciente escolher entre um conjunto de possibilidades. Outra questão importante é a possibilidade de monitorar a dieta do paciente, obtendo mais informações para os próximos planos sem a necessidade de agendar uma nova consulta. Neste projeto, propomos um sistema capaz de coletar dados do usuário para que o nutricionista possa analisar o paciente e fornecer planos nutricionais mais precisos, eficazes e com uma maior variedade de refeições com base nas preferências de cada usuário, tornando a experiência mais agradável para o usuário e auxiliando o trabalho do nutricionista. Um sistema de recomendação também foi proposto para auxiliar o nutricionista na geração do plano nutricional. Este sistema seria capaz de analisar as preferências do usuário e preencher as refeições do plano nutricional seguindo as regras impostas. Além disso, foi projetado para incluir e priorizar os alimentos termicamente baseados produzidos no contexto do projeto Aquae Vitae.The conventional model of a nutritionist consultation is based on the nutritionist analyzing the patient’s data and providing a nutritional plan based on the patient’s goals, and this cycle is repeated at each consultation. In order to do that the nutritionist collects the greatest amount of information that it’s possible to get during the consultation and is based on that set of data that he establish the nutritional plan. By other hand, the definition of that plan isn’t an easy task because there is an huge variety of food and the plan should follow lots of restrictions and at the same time give some freedom to the patient to choose in between a set of possibilities. Another important issue is the possibility of monitoring the patient diet geting more information for the next plans without the need to schedule a new consultation. In this project we proposed a system capable of collecting data from the user so that the nutritionist can analyze the patient and provide nutritional plans that are more accurate, effective, and with a greater variety of meals based on each user’s preferences, making the experience more pleasant for the user and assisting the nutritionist’s work. A recommendation system was also proposed to aid the nutritionist in generating the nutritional plan. This system would be capable of analyzing the user’s preferences and filling in the meals of the nutritional plan following the imposed rules. Moreover, it has been designed to include and prioritize the thermally-based food items produced within the context of the Aquae Vitae project

An architectural framework for self-configuration and self-improvement at runtime

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