Software-defined testbed for next generation navigation transponders

In this paper, we study oligopolistic competition between closed and open source softwares. By intersecting existing economic contributions on open source, we propose a two stage game with perfect information and product di¤eretiation in which producers firstly set softwares quality, then they determine prices (constrained at zero for open source programs). In doing this, we explicitly model lock-in e¤ects, network externality components of software quality as well as knowledge accumulation in software use and implementation. With respect to a monopolistic benchmark case, we argue that in duopoly a pro- prietary sofware producer facing an open source software will reduce its selling price whether: (i) its network of users is larger than open sources one and its consumers are largely experienced on its program, (ii) it has a small network of un-skilled consumers. In opposition, after open source softwares emergence, proprietary software price does augment if proprietary software users form a large, but poorly skilled network. Fur- thermore, we show that, in all above cases, proprietary software quality increases because of the existence of a open source alternative to a previouisly monopolistic program. Finally, by modeling knowledge accumulation processes through di¤erence equations, we show that the ratio between closed and open source programs opportunity costs of software learning and deployment plays a crucial role in shaping market outcomes. Until an open source software remains too complex and technical for unskilled or time-scarse users, a shared market solution in which both softwares are adopted is predicted. In contrast, if opportunity costs in learning and understanding open source programs are remarkably low, or at least equal to opportunity costs of a closed source software, then a open source dominance outcome (i.e. all software are open ones) phases out.

Many studies have evaluated and compared existing open-sources semantic web platforms for ontologies development. However, none of these studies has included the dot NET-based semantic web platforms in the empirical investigations. This study conducts a comparative analysis of open-source and dot NET-based semantic web platforms for ontologies development. Two popular dot NET-based semantic web platforms, namely, SemWeb.NET and dotNetRDF are analyzed and compared against open-source environments including Jena API, Protege and RDF4J also known as Sesame SDK. Various metrics are used to compare the two categories of platforms such as the storage mode, query support, consistency checking, interoperability with other tools, and many more. A number of five ontologies of different sizes are used in the experiments. The experimental results showed that the open-source platforms provides more facilities for creating, storing and processing ontologies compared to the dot NET-based tools. Furthermore, the experiments revealed that Protege and RDF4J open-source and dotNetRDF platforms provide both graphical user interface (GUI) and command line interface for ontologies processing, whereas, Jena open-source and SemWeb.NET are command line platforms. Moreover, the results showed that the open-source platforms are capable of processing multiple ontologies' files formats including RDF and OWL formats, whereas, the dot NET-based tools only process RDF ontologies. Finally, the experiments enabled to learn that the dot NET-based platforms have limited memories size as they failed to load and query larges ontologies compared to open-source environments.

The objective of this paper is to compare opensource CFD (Computational Fluid Dynamics) software for the aerodynamic analysis of a mini-UAV (Unmanned Aerial Vehicle). When low cost analysis is necessary, open-source applications seem to be the best choice; however, the quality of the open-source software may vary. Hence, this paper includes leading candidate open-source CFD software - SU2, OpenFOAM, and Code_Saturne. PyFR and HiFiLES will be analyzed in future work. The first part of this paper shows the geometry of two mini-UAVs used for the aerodynamic analysis. In the second section, the free software is summarized and described, including the open-source CFD applications. Although this analysis is focused on small subsonic UAVs, the software can also be applicable to other categories of aircraft (e.g., gliders, large supersonic airplanes, and MAVs); however, accuracy may be different from this research. Finally, the results of the aerodynamic analysis are recorded, evaluated, and discussed.

We empirically examine the relationship between software design modularity and software quality in open source software (OSS) development projects. Conventional wisdom suggests that degree of software modularity affects software quality. An analysis of 203 software releases in 46 OSS projects hosted on SourceForge.net lends support for a more complex relationship between software modularity and software quality than conventional wisdom suggests. We find that software modularity is associated with reduced software complexity, an increased number of static software bugs, and a mixed relationship with the percentage of bugs closed. We do not find empirical evidence supporting any relationship between modularity and other measures of customer satisfaction. In addition to empirically testing the relationship between modularity and quality, we introduce new measures of software modularity and software quality. Implications are developed for the theory of modularity and the practice of software development.

The research topic focuses on the characterization of software quality considering the main software elements such as people, process and product. Many attributes (size, language, testing techniques etc.) probably could have an effect on the quality of software. In this thesis we aim to understand the impact of attributes of three P's (people, product, process) on the quality of software by empirical means. Software quality can be interpreted in many ways, such as customer satisfaction, stability and defects etc. In this thesis we adopt ‘defect density' as a quality measure. Therefore the research focus on the empirical evidences of the impact of attributes of the three P's on the software defect density. For this reason empirical research methods (systematic literature reviews, case studies, and interviews) are utilized to collect empirical evidence. Each of this research method helps to extract the empirical evidences of the object under study and for data analysis statistical methods are used. Considering the product attributes, we have studied the size, language, development mode, age, complexity, module structure, module dependency, and module quality and their impact on project quality. Considering the process attributes, we have studied the process maturity and structure, and their impact on the project quality. Considering the people attributes, we have studied the experience and capability, and their impact on the project quality. Moreover, in the process category, we have studied the impact of one testing approach called ‘exploratory testing' and its impact on the quality of software. Exploratory testing is a widely used software-testing practice and means simultaneous learning, test design, and test execution. We have analyzed the exploratory testing weaknesses, and proposed a hybrid testing approach in an attempt to improve the quality. Concerning the product attributes, we found that there exist a significant difference of quality between open and close source projects, java and C projects, and large and small projects. Very small and defect free modules have impact on the software quality. Different complexity metrics have different impact on the software quality considering the size. Product complexity as defined in Table 53 has partial impact on the software quality. However software age and module dependencies are not factor to characterize the software quality. Concerning the people attributes, we found that platform experience, application experience and language and tool experience have significant impact on the software quality. Regarding the capability we found that programmer capability has partial impact on the software quality where as analyst capability has no impact on the software quality. Concerning process attributes we found that there is no difference of quality between the project developed under CMMI and those that are not developed under CMMI. Regarding the CMMI levels there is difference of software quality particularly between CMMI level 1 and CMMI level 3. Comparing different process types we found that hybrid projects are of better quality than waterfall projects. Process maturity defined by (SEI-CMM) has partial impact on the software quality. Concerning exploratory testing, we found that exploratory testing weaknesses induce the testing technical debt therefore a process is defined in conjunction with the scripted testing in an attempt to reduce the associated technical debt of exploratory testing. The findings are useful for both researchers and practitioners to evaluate their projects

Design for CubeSat-based dust and radiation studies at Europa

As an answer to the disabled community’s odyssey to gain access to adaptable, modular, multilingual, cheap and sustainable Augmentative and Alternative Communication (AAC) products, we propose the use of the ITHACA framework. It is a software environment for building component-based AAC applications, grounded on the Design for All principles and a hybrid--- community and commercial ---Open Source development model. ITHACA addresses the developers, the vendors, as well as the people who use AAC. We introduce a new viewpoint on the AAC product design-develop-distribute lifecycle, and a novel way to search-select-modify-maintain the AAC aid. ITHACA provides programmers with a set of tools and reusable Open Source code for building AAC software components. It also facilitates AAC product vendors to put together sophisticated applications using the available on the Web, independently premanufactured, free or commercial software parts. Furthermore, it provides people who use AAC with a variety of compatible AAC software products which incorporate multimodal, user-tailored interfaces that can fulfill their changing needs. The ITHACA architecture and the proposed fusion of past and current approaches, trends and technologies are explained. ITHACA has been successfully applied by implementing a family of AAC products, based on interchangeable components. Several ready to use ITHACA-based components, including on-screen keyboards, Text-to-Speech, symbol selection sets, e-chatting, emailing, and scanning-based input, as well as four complete communication aids addressing different user cases have been developed. This demonstration showed good acceptance of the ITHACA applications and substantial improvement of the end users’ communication skills. Developers’ experience on working in ITHACA’s Open Source projects was also positively evaluated. More importantly, the potential contribution of the component-based framework and Open Source development model combination to the AAC community emerged.

This paper argues that, from the perspective of interactive prototyping and experience, the hardware technology based on open source and thinking, can promote further development of interaction design research. The purpose of this paper is to explore the design methodology considering interactive prototype design process and experiencing process, and provide theoretical and technical support for the design of interactive products, with open source resources as the platform and task method. The results show that the open source code can be obtained in a variety of formats, and can be freely and easily modified to solve the design problems encountered by individuals or teams, to support the design goals. Through open source resources everyone can get electronic components and a variety of materials, as well as infrastructure and standardization of the production process. So that a number of design elements and open source code can be iterated quickly, having everyone maximize using open source resources efficiency. The design of interactive prototype is based on Arduino/Max6/MSP experiment method and emotional experience method. After the initial design and prototyping, the design concept can be realized. A design route combining usability and ease of use could be established which can be used in the field of industrial design engineering.

An integrated system based on wireless sensor networks for patient monitoring, localization and tracking

A quality degradation effect of proprietary code has been observed as a consequence of maintenance. This quality degradation effect, called entropy, is a cause for higher maintenance costs. In the Open Source context, the quality of code is a fundamental tenet of open software developers. As a consequence, the quality degradation principle measured by entropy cannot be assumed to be valid. The goal of the paper is to analyze the entropy of Open Source applications by measuring the evolution of maintenance costs over time. Analyses are based on cost data collected from a sample of 1251 Open Source application versions, compared with the costs estimated with a traditional model for proprietary software. Findings indicate that Open Source applications are less subject to entropy, have lower maintenance costs and also a lower need for maintenance interventions aimed at restoring quality. Finally, results show that a lower entropy is favored by greater functional simplicity.

This study presents the results of experimental evaluations of an ontology-based frequently asked question retrieval system in the domain of HIV and AIDS. The main purpose of the system is to provide answers to questions on HIV/AIDS using ontology. To evaluate the effectiveness of the frequently asked question retrieval system, we conducted two experiments. The first experiment focused on the evaluation of the quality of the ontology we developed using the OQuaRE evaluation framework which is based on software quality metrics and metrics designed for ontology quality evaluation. The second experiment focused on evaluating the effectiveness of the ontology in retrieving relevant answers. For this we used an open-source information retrieval platform, Terrier, with retrieval models BM25 and PL2. For the measurement of performance, we used the measures mean average precision, mean reciprocal rank, and precision at 5. The results suggest that frequently asked question retrieval with ontology is more effective than frequently asked question retrieval without ontology in the domain of HIV/AIDS.

In these recent years, several metaheuristic optimization algorithms have been developed to solve complex real-world problems. However, according to the no free lunch theorem, there is no metaheuristic algorithm which has the best suited for solving all optimization problems. Therefore, developing new metaheuristic algorithms is an open problem. Two major categories of metaheuristics are swarm intelligence and evolutionary algorithms. Both of them have their own advantages. In this paper, we present a naturally swarm and evolutionary algorithm in which its particles have memory, collaboration, information sharing, and competition inherited from one specific analogy. So, it has the advantages of both swarm and evolutionary algorithms without complications of hybridizing them. We formulate a new metaheuristic optimization algorithm called open source development model algorithm (ODMA) inspired by open source development model and communities, in such a way that each potential solution is considered as a software, and by evolution of the softwares, better solutions of the function that should be optimized are searched. The main operations of the algorithm include employing features and methods of leading softwares, evolution of leading softwares based on their history and forking from leading softwares. After a detailed formulation and explanation of its implementation, the algorithm is evaluated by $$17$$17 well-known benchmark functions, and the results are compared with PSO, ICA, and GA. The results show that ODMA outperforms GA, PSO, and ICA in terms of finding the global optimum and convergence.

Open Source Platforms — Connected Car Becomes A Joint Project

In this paper, we discuss the potential of applying interaction techniques to manipulate GEO satellite data. The proposed study shows the potential of Meteosat Second Generation (MSG) data in refining the mesoscale analyses incorporating HCI techniques, as natural interaction resources. Moreover the software tools used to develop the interaction layer,is based on open source codes. Open source codes are also used for geolocation and geographical information systems, written for the transformation of MSG data into input files. This feature have demonstrated a great flexibility and ease of use. The study open up an avenue for successive validation and refinement of the analyses together with their improved implementation for operational nowcasting and very short range forecasting applications.

Making pharmacokinetics useful