Search results for "software engineering"

Experiences from Software Maintenance Seminars: Organizing Three Seminars with 127 Groups

2009

Software maintenance and evolution (SME) is an important but problematic topic-area for university-level computer science education. Seminars can be used to provide versatile and up-to-date knowledge for students regarding scientifically relevant issues. We have organized three systematic university-level seminars on SME with a total of 127 seminar groups. Each group has been assigned a task of analyzing one scientific SME-article. The main results include the general confirmed feasibility of the selected seminar-based approach. The paper describes the background of the seminars, their contents, and experiences concerning organization and feasibility of the seminars. The results support org…

Do we need metamodels AND ontologies for engineering platforms?

2006

In this paper we show how the joint use of metamodeling and ontologies allows to describe domain knowledge for a complex domain. Ontologies are used as stabilized descriptions of a business domain while metamodels allow a fine description of the domain (to be constructed in the initial phases of modeling). We propose to use an ontology for early categorization, i.e., as a "natural" complement of the formal system that is induced by the metamodel.

Analyzing the Current Phase of the OSS/BSS Software Market

2009

In this section, the evolution of the OSS/BSS software industry is described, and the current phase of the OSS/BSS software market is analyzed using quantitative data. The first analysis uses the viewpoint of the general industry lifecycle stage models. This is followed by an analysis from the viewpoint of the vertical software market evolution model. The last section analyses the mergers and acquisitions of the OSS/BSS market from the last few years.

Data Quality Model-based Testing of Information Systems

2020

This paper proposes a model-based testing approach by offering to use the data quality model (DQ-model) instead of the program’s control flow graph as a testing model. The DQ-model contains definitions and conditions for data objects to consider the data object as correct. The study proposes to automatically generate a complete test set (CTS) using a DQmodel that allows all data quality conditions to be tested, resulting in a full coverage of DQ-model. In addition, the possibility to check the conformity of the data to be entered and already stored in the database is ensured. The proposed alternative approach changes the testing process: (1) CTS can be generated prior to software developmen…

2020

Simulation-based estimation of branching models for LTR retrotransposons

2017

Abstract Motivation LTR retrotransposons are mobile elements that are able, like retroviruses, to copy and move inside eukaryotic genomes. In the present work, we propose a branching model for studying the propagation of LTR retrotransposons in these genomes. This model allows us to take into account both the positions and the degradation level of LTR retrotransposons copies. In our model, the duplication rate is also allowed to vary with the degradation level. Results Various functions have been implemented in order to simulate their spread and visualization tools are proposed. Based on these simulation tools, we have developed a first method to evaluate the parameters of this propagation …

Detection of algorithmically generated malicious domain names using masked N-grams

2019

Abstract Malware detection is a challenge that has increased in complexity in the last few years. A widely adopted strategy is to detect malware by means of analyzing network traffic, capturing the communications with their command and control (C&C) servers. However, some malware families have shifted to a stealthier communication strategy, since anti-malware companies maintain blacklists of known malicious locations. Instead of using static IP addresses or domain names, they algorithmically generate domain names that may host their C&C servers. Hence, blacklist approaches become ineffective since the number of domain names to block is large and varies from time to time. In this paper, we i…

3D image acquisition system based on shape from focus technique

2013

agent Agrosup Dijon de l'UMREcolDurGEAPSI; This paper describes the design of a 3D image acquisition system dedicated to natural complex scenes composed of randomly distributed objects with spatial discontinuities. In agronomic sciences, the 3D acquisition of natural scene is difficult due to the complex nature of the scenes. Our system is based on the Shape from Focus technique initially used in the microscopic domain. We propose to adapt this technique to the macroscopic domain and we detail the system as well as the image processing used to perform such technique. The Shape from Focus technique is a monocular and passive 3D acquisition method that resolves the occlusion problem affecting…

Creating Digital Musical Instruments With and for Children: Including Vocal Sketching as a Method for Engaging in Codesign

2020

International audience; A class of master of science students and a group of preschool children codesigned new digital musical instruments based on workshop interviews involving vocal sketching, a method for imitating and portraying sounds. The aim of the study was to explore how the students and children would approach vocal sketching as one of several design methods. The children described musical instruments to the students using vocal sketching and other modalities (verbal, drawing, gestures). The resulting instruments built by the students were showcased at the Swedish Museum of Performing Arts in Stockholm. Although all the children tried vocal sketching during preparatory tasks, few …

A General Framework for Complex Network-Based Image Segmentation

2019

International audience; With the recent advances in complex networks theory, graph-based techniques for image segmentation has attracted great attention recently. In order to segment the image into meaningful connected components, this paper proposes an image segmentation general framework using complex networks based community detection algorithms. If we consider regions as communities, using community detection algorithms directly can lead to an over-segmented image. To address this problem, we start by splitting the image into small regions using an initial segmentation. The obtained regions are used for building the complex network. To produce meaningful connected components and detect …