Mobile applications are becoming increasingly more present in our daily lives, allowing people to... more Mobile applications are becoming increasingly more present in our daily lives, allowing people to perform several tasks through the use of mobile devices. Despite fostering the innovation, the rapid growth of the mobile market resulted in some fragmentation of the mobile platforms. The existence of different mobile operating systems with different programming languages and tools can be a problem when we want to develop mobile applications for multiple platforms. Rewriting the application for each platform is usually impracticable either in terms of budget or time. Therefore, a solution that can generate cross-platform applications without compromising the quality, would decrease the time to market and increase the number of potential users. Fortunately, some work has been conducted over the last years to tackle this problem, namely through the use of web technologies, crossplatform tools and approaches based on MDD. This paper proposes the use of a MDD approach for the development o...
Mobile applications are becoming increasingly more present in our daily life, allowing people to ... more Mobile applications are becoming increasingly more present in our daily life, allowing people to perform several tasks through the use of smartphones or tablets. Despite fostering the innovation, the rapid growth of the mobile market resulted in some fragmentation of the mobile platforms. The existence of different mobile operating systems with different programming languages and tools can be a problem when someone wants to release an application in multiple platforms. Rewriting the application for each platform is usually impracticable either in terms of budget or time, requiring a great effort. Therefore, a solution that could generate cross-platform applications without compromising the quality, would decrease the time to market and increase the number of potential users. This paper presents the XIS-Mobile language, defined as a UML profile in the context of the Sparx Systems Enterprise Architect, and discusses its main challenges and benefits in the context of the cross-platform mobile application development.
The great evolution of the mobile market during the last years caused some fragmentation of the m... more The great evolution of the mobile market during the last years caused some fragmentation of the mobile platforms namely through the existence of different programming languages and software development tools for each platform. This fact can be an obstacle and increases the development complexity and costs when we want to develop mobile applications for multiple platforms. The XIS-Mobile domain specific language (defined as a UML profile) and its MDD-based framework address this problem by proposing platform-independent models to describe mobile applications and from them automatically generate the application’s source code. Many issues arose during an iterative process of evaluation which originated changes and the evolution of XIS-Mobile. This paper presents the results of the evaluation of XIS-Mobile (both the language and the companion framework) obtained through the implementation of a case study and by conducting a user session, and discusses its benefits and challenges.
These last years we have been witnessing a tremendous growth in the volume and availability of da... more These last years we have been witnessing a tremendous growth in the volume and availability of data. This fact results primarily from the emergence of a multitude of sources (e.g. computers, mobile devices, sensors or social networks) that are continuously producing either structured, semi-structured or unstructured data. Database Management Systems and Data Warehouses are no longer the only technologies used to store and analyze datasets, namely due to the volume and complex structure of nowadays data that degrade their performance and scalability. Big Data is one of the recent challenges, since it implies new requirements in terms of data storage, processing and visualization. Despite that, analyzing properly Big Data can constitute great advantages because it allows discovering patterns and correlations in datasets. Users can use this processed information to gain deeper insights and to get business advantages. Thus, data modeling and data analytics are evolved in a way that we are able to process huge amounts of data without compromising performance and availability, but instead by “relaxing” the usual ACID properties. This paper provides a broad view and discussion of the current state of this subject with a particular focus on data modeling and data analytics, describing and clarifying the main differences between the three main approaches in what concerns these aspects, namely: operational databases, decision support databases and Big Data technologies.
Mobile applications are becoming increasingly more present in our daily lives, allowing people to... more Mobile applications are becoming increasingly more present in our daily lives, allowing people to perform several tasks through the use of mobile devices. Despite fostering the innovation, the rapid growth of the mobile market resulted in some fragmentation of the mobile platforms. The existence of different mobile operating systems with different programming languages and tools can be a problem when we want to develop mobile applications for multiple platforms. Rewriting the application for each platform is usually impracticable either in terms of budget or time. Therefore, a solution that can generate cross-platform applications without compromising the quality, would decrease the time to market and increase the number of potential users. Fortunately, some work has been conducted over the last years to tackle this problem, namely through the use of web technologies, crossplatform tools and approaches based on MDD. This paper proposes the use of a MDD approach for the development o...
Mobile applications are becoming increasingly more present in our daily life, allowing people to ... more Mobile applications are becoming increasingly more present in our daily life, allowing people to perform several tasks through the use of smartphones or tablets. Despite fostering the innovation, the rapid growth of the mobile market resulted in some fragmentation of the mobile platforms. The existence of different mobile operating systems with different programming languages and tools can be a problem when someone wants to release an application in multiple platforms. Rewriting the application for each platform is usually impracticable either in terms of budget or time, requiring a great effort. Therefore, a solution that could generate cross-platform applications without compromising the quality, would decrease the time to market and increase the number of potential users. This paper presents the XIS-Mobile language, defined as a UML profile in the context of the Sparx Systems Enterprise Architect, and discusses its main challenges and benefits in the context of the cross-platform mobile application development.
The great evolution of the mobile market during the last years caused some fragmentation of the m... more The great evolution of the mobile market during the last years caused some fragmentation of the mobile platforms namely through the existence of different programming languages and software development tools for each platform. This fact can be an obstacle and increases the development complexity and costs when we want to develop mobile applications for multiple platforms. The XIS-Mobile domain specific language (defined as a UML profile) and its MDD-based framework address this problem by proposing platform-independent models to describe mobile applications and from them automatically generate the application’s source code. Many issues arose during an iterative process of evaluation which originated changes and the evolution of XIS-Mobile. This paper presents the results of the evaluation of XIS-Mobile (both the language and the companion framework) obtained through the implementation of a case study and by conducting a user session, and discusses its benefits and challenges.
These last years we have been witnessing a tremendous growth in the volume and availability of da... more These last years we have been witnessing a tremendous growth in the volume and availability of data. This fact results primarily from the emergence of a multitude of sources (e.g. computers, mobile devices, sensors or social networks) that are continuously producing either structured, semi-structured or unstructured data. Database Management Systems and Data Warehouses are no longer the only technologies used to store and analyze datasets, namely due to the volume and complex structure of nowadays data that degrade their performance and scalability. Big Data is one of the recent challenges, since it implies new requirements in terms of data storage, processing and visualization. Despite that, analyzing properly Big Data can constitute great advantages because it allows discovering patterns and correlations in datasets. Users can use this processed information to gain deeper insights and to get business advantages. Thus, data modeling and data analytics are evolved in a way that we are able to process huge amounts of data without compromising performance and availability, but instead by “relaxing” the usual ACID properties. This paper provides a broad view and discussion of the current state of this subject with a particular focus on data modeling and data analytics, describing and clarifying the main differences between the three main approaches in what concerns these aspects, namely: operational databases, decision support databases and Big Data technologies.
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Papers by André Ribeiro