Mobile applications are one of the most common software projects written nowadays. The software architectures used for building those type of products heavily impacts their lifecycle as the architectural issues affect the internal quality of a software system hindering its maintainability and extensibility. We are presenting a novel approach, Clustering ARchitecture Layers (CARL), for…
The mobile market grows larger year by year and at the core of those devices, we have the mobile applications that push the technological advancement forward continuously. Due to the increased hardware performance and the popularity of those devices as well as advancements in their operating systems, mobile applications have grown to be complex…
We aimed to assess the reliability of an automatic solution for whole-heart segmentation of MRI images of patients with atrial fibrillation (AF). We propose a semi-interactive image segmentation algorithm based on region growing, GrowCut1, using novel neighborhood structures based on Cellular Automata. We complemented the algorithm with a global view of the signal using…
We aimed to assess the reliability of teaching Artificial Intelligencefor Software Engineering master students. We propose a semi-interactive course where the students have to develop applications for solving real world problems by using various intelligent tools. We try to integrate these two disciplines, since both deal with modeling of the real case studies, sharing…
Cellular automata have been widely used for solving the edge detection problem. This paper proposes an algorithm which optimizes cellular automata rules using Particle Swarm Optimization based on an existing method in the literature. Moreover, the method is extended from grayscale to RGB images by performing the optimization on each colour channel individually. A…
In this paper, we introduce Competitive Unsupervised GrowCut, a cellular automata-based, unsupervised and autonomous algorithm that combines the label merging component of Unsupervised GrowCut with the soft label propagation mechanism of GrowCut. We evaluated our algorithm on two benchmark image segmentation datasets, along with two related methods proposed in the literature. We also provide…
Dragos Dobrean and Laura Diosan. Model view controller in iOS mobile applications development. InProc. of the 31st International Conference on Software Engineering Knowledge Engineering, 2019
Dragos Dobrean and Laura Diosan. An analysis system for mobile applications mvc software architectures. InProc. of the 14th International Conference on Software Technologies, 2019
Dragos Dobrean. Automatic examining of software architectures on mobile applications codebases. InProc. of the 35th IEEE International Conference on Software Maintenance and Evolution, 2019
Properties of complex networks represent a powerful set of tools that can be used to study the complex behaviour of these systems of interconnections. They can vary from properties represented as simplistic metrics (number of edges and nodes) to properties that reflect complex information of the connection between entities part of the network (assortativity…