Integration Of Software Components Research Articles

Research data infrastructures in environmental sciences—Challenges and implementation approaches focusing on the integration of software components

AbstractResearch data infrastructures are quickly evolving and show a wide variety, for instance in the way they address user requirements and use cases as well as how they provide user‐required information through their software architecture. In this article, we discuss challenges and provide approaches to developing software architectures and software components for research data infrastructures in environmental sciences. Taking the GeoKur research project on harmonizing land use time series as the use case for curation and quality assurance of environmental research data, we designed, implemented, and tested approaches and software components with particular regard to data management planning as well as provenance and quality information management. We aim to illustrate how to better meet researchers’ needs and provide tightly interlinked software components.

CDMerge: Semantically Sound Merging of Class Diagrams for Software Component Integration.

CDMerge: Semantically Sound Merging of Class Diagrams for Software Component Integration.

ІНТЕГРАЦІЯ ЗМІСТУ НАВЧАННЯ ПРИРОДНИЧО-МАТЕМАТИЧНИХ ДИСЦИПЛІН ЗАСОБАМИ ХМАРНИХ ТЕХНОЛОГІЙ У ВІРТУАЛЬНОМУ СЕРЕДОВИЩІ ЗАКЛАДУ ВИЩОЇ ОСВІТИ ТЕХНІЧНОГО ПРОФІЛЮ

У статті викладено результати дослідження можливості підвищення ефективності освітнього процесу шляхом інтеграції змісту навчання у віртуальному освітньому середовищі закладів вищої освіти, створюваному з використанням хмарних технологій. Описано міждисциплінарну взаємодію навчальної інформації, розміщеної у віртуальних навчальних кабінетах. Акцентовано увагу на дидактичному аспекті освітньої інтеграції хмарних технологій та здійснено термінологічний аналіз близькоспоріднених понять (інтеграція хмарних технологій, інтеграція програмних компонентів тощо). Зазначено, що інтегративний підхід, спрямований на подолання ізольованості змісту навчання різних дисциплін, може бути ефективно зреалізований із застосуванням елементів хмарних технологій. Встановлено, що узгодження змісту професійної підготовки перш за все має бути втілене традиційними засобами на рівні кафедр одного навчального закладу і після цього перенесено у віртуальне хмарне середовище. Обґрунтовано авторську ідею щодо узгодження та міждисциплінарної взаємодії змісту навчання в межах кількох навчальних закладів, які здійснюють підготовку фахівців однієї спеціальності. Показано, що використання хмарних технологій стає єдино можливим засобом досягнення цієї мети. Визначено концептуальні засади узгодження змісту навчальних дисциплін шляхом його інтеграції у віртуальному середовищі. Інтеграція змісту передбачає використання пошукових систем і ефективно реалізується за допомогою хмарних технологій. Це розширює можливості віртуального середовища конкретного навчального закладу за рахунок уведення інтеграційного міждисциплінарного блоку, подолання ізольованості навчальних знань із різних дисциплін надає змогу викладачам швидко орієнтуватись у навчальному матеріалі суміжних дисциплін, сприяє реалізації проблемного підходу до професійного навчання, забезпечує студентам можливість обирати оптимальну траєкторію вивчення основних і вибіркових дисциплін, самостійно інтегрувати отримані знання та формувати нові зв’язки між ними за заданою проблематикою. Показано, як на практичному рівні конкретних технічних спеціальностей концептуальні засади інтеграції реалізуються в підходах, що враховують особливості кожної спеціальності.

Analyzing the Effects of Bugs on Software Interfaces

Critical systems that integrate software components (e.g., from third-parties) need to address the risk of residual software defects in these components. Software fault injection is an experimental solution to gauge such risk. Many error models have been proposed for emulating faulty components, such as by injecting error codes and exceptions, or by corrupting data with bit-flips, boundary values, and random values. Even if these error models have been able to find breaches in fragile systems, it is unclear whether these errors are in fact representative of software faults. To pursue this open question, we propose a methodology to analyze how software faults in C/C++ software components turn into errors at components’ interfaces ( interface error propagation ), and present an experimental analysis on what, where, and when to inject interface errors. The results point out that the traditional error models, as used so far, do not accurately emulate software faults, but that richer interface errors need to be injected, by: injecting both fail-stop behaviors and data corruptions; targeting larger amounts of corrupted data structures; emulating silent data corruptions not signaled by the component; combining bit-flips, boundary values, and data perturbations.

MANAGEMENT INFORMATION SYSTEM FOR A WATER UTILITYIN ALBANIA

A MIS for the fVater Supply and Serverage Utility of Pogradec (1VSSP) was designed after carefully studying the current reporting routines and obligations within fVSSP and to external institutions. whereas financial reporting was found to be quite satisfactory the reporting of the technical departmeiits was considered insufficient. Therefore, detailed data acquisition routines were defined for the necessary availability of technical and service data on a monthly basis. For the design of the MIS a top-down approach was used. A set of 25 report forms were developed. The structure of the MIS is hierarchical so that reports on lower levels can be aggregated into higher level reports. The overall business performance is documented on a monthly basis by general performance indicators, financial performance indicators and service level performance indicators. The performance of the first quarter of 2004 was 24%, 40%, 48%, 78% and 29% respectively. Tliese numbers show considerable room for improvement. A stepwise implementation of the MIS was recommended to familiarise the maiiagement with the system and to allow necessary changes and appropriate adaptations due to practical reasons and in time: Establish an operational database, implement the MIS (pilot version), create management reports from basic data and gain experience, extend MIS according to growing demand and experience and integrate software components and systems within WSSP.

Toward automatic web service composition based on multilevel workflow orchestration and semantic web service discovery

Revolutionary development of service oriented architecture (SOA) fosters the integration of software components from different distributed platforms and facilitates modelling of web service composition. However, the existing four-stage framework used for automatic web service composition (AWSC), which has drawbacks and incompleteness in terms of dynamic change of user goals, adopting the functional properties for describing the behaviour of candidate services and implementing unified composition framework. To overcome these drawbacks, we propose a framework for automatic and dynamic service composition that requires adding advances of semantics to web services and modifying the existing four-stage framework. We provide a multilevel workflow orchestration using an enhanced five stage composition framework for achieving the dynamic change of user requests and scalability for automatic composition. This proposed framework can able to handle both functional and non-functional requirements through transformation techniques for providing a feasible composition solution. Furthermore, it provides a solution for the problem of discovering and selecting the most suitable service candidates using semantic web service discovery (SWSD) mechanism.

A methodological approach to the development of a technological platform for intelligent integrated energy system modelling

Modeling of intelligent integrated energy systems, which has a complex structure, is performed using specialized software, which is caused by the computational complexity of the models, methods and algorithms used. The paper lists the requirements for software for modeling intelligent integrated energy systems and concludes that it is necessary to develop a technological platform. A methodological approach to the development of a technological platform for modeling integrated energy systems is presented. The methodological approach includes the following components: principles of building a technological platform, architecture of a technological platform, and the structure of an ontology system, a method of automated integration of software components into a software system.

Toward automatic web service composition based on multilevel workflow orchestration and semantic web service discovery

Revolutionary development of service oriented architecture (SOA) fosters the integration of software components from different distributed platforms and facilitates modelling of web service composition. However, the existing four-stage framework used for automatic web service composition (AWSC), which has drawbacks and incompleteness in terms of dynamic change of user goals, adopting the functional properties for describing the behaviour of candidate services and implementing unified composition framework. To overcome these drawbacks, we propose a framework for automatic and dynamic service composition that requires adding advances of semantics to web services and modifying the existing four-stage framework. We provide a multilevel workflow orchestration using an enhanced five stage composition framework for achieving the dynamic change of user requests and scalability for automatic composition. This proposed framework can able to handle both functional and non-functional requirements through transformation techniques for providing a feasible composition solution. Furthermore, it provides a solution for the problem of discovering and selecting the most suitable service candidates using semantic web service discovery (SWSD) mechanism.

A spark‐based big data analysis framework for real‐time sentiment prediction on streaming data

SummaryThere are many data sources that produce large volumes of data. The Big Data nature requires new distributed processing approaches to extract the valuable information. Real‐time sentiment analysis is one of the most demanding research areas that requires powerful Big Data analytics tools such as Spark. Prior literature survey work has shown that, though there are many conventional sentiment analysis researches, there are only few works realizing sentiment analysis in real time. One major point that affects the quality of real‐time sentiment analysis is the confidence of the generated data. In more clear terms, it is a valuable research question to determine whether the owner that generates sentiment is genuine or not. Since data generated by fake personalities may decrease accuracy of the outcome, a smart/intelligent service that can identify the source of data is one of the key points in the analysis. In this context, we include a fake account detection service to the proposed framework. Both sentiment analysis and fake account detection systems are trained and tested using Naïve Bayes model from Apache Spark's machine learning library. The developed system consists of four integrated software components, ie, (i) machine learning and streaming service for sentiment prediction, (ii) a Twitter streaming service to retrieve tweets, (iii) a Twitter fake account detection service to assess the owner of the retrieved tweet, and (iv) a real‐time reporting and dashboard component to visualize the results of sentiment analysis. The sentiment classification performances of the system for offline and real‐time modes are 86.77% and 80.93%, respectively.

REVIEW OF METRICS EXTRACTION TOOL USING UML

In the present consequence, whole world depends on software. It is a cost effective way is essential because all countries depend on complex computer based systems. So it is a big challenge of the developers and researchers to adopt latest technologies which convert a highly complex system design into a simple design. Intended for this purpose, developers inspire the design and construction of computer-based systems by using reusable software which is called as component. A component can be deployed, as they possess the qualities such as reusability, stability, proper communication, modularity, testability, and complexity. The reusable components on integration interoperate with each other resulting in an operational application which is developed with minimum effort and low maintenance cost. We used Component Based Software Development (CBSD) process, which is based on the basic concepts of Object Orientated Techniques where Unified Modelling Language (UML) shows an important role. Different quality factors of a component are measured with the help of metrics, and there are number of metrics proposed for components. In this paper we proposed a methodology of static metrics for integration of software components, complexity metrics for UML Component-based System Specification (CBSS) and interface complexity metrics in a component assembly. These metrics are derived using UML artifacts. We derived these metrics by developing a tool named “CAME” (Component Assembly Metrics Extractor) in NetBeans which parses through the XMI file (XML Meta Data Interchange) generated by UML tool and produces different component metrics through graphic user interface. These metrics will help the software developer in making the system more stable, better and efficient.

Implementation of a Cost-Effective Didactic Prototype for the Acquisition of Biomedical Signals

This paper presents the implementation of a cost-effective didactic prototype, which was designed as a tool for theoretical and practical learning in the biomedical instrumentation area for engineering students. The prototype provides integrated hardware and software components that allow online acquisition, processing, and visualization of electrocardiographic (ECG), electroencephalographic (EEG), electromyographic (EMG), and electrooculographic (EOG) signals, as well as measurements of bio-impedance from the skin. A control system using an Arduino Uno board and the PIC16F877A and PIC18F2550 microcontrollers was implemented. This control system allows selecting the type of module; the lead to be used in the ECG module; the input channel for the EEG, EMG, and EOG modules; and controlling the signal generator for the bioimpedance module. In addition, a graphical interface was developed in LabVIEW, in which all the acquired biomedical signals can be visualized in real time. It is highlighted as a novelty the modular implementation of the prototype, the incorporation of five modules in a single device and the graphical user-friendly interface. The final result is a low-cost device capable of processing and visualizing bioelectric signals through an interface in LabVIEW, which also allows the user to interact with each of the stages.

Development of an educational game based on IoT

Internet of Things (IoT) in combination with game based learning offers new possibilities to improve teaching and learning. Thispaper presents an example of using the IoT in education through the creation of an educational interactive game. An educational gamebased on the IoT has been developed. The developed system aims to motivate students to acquire and enhance knowledge in the field of IoT.The system is composed of a mobile application that serves as a controller for students, an administrative tool in the form of a webapplication used by the teachers, a set of assignments implemented within a smart educational environment, and a collection of web servicesused for integration of software components. The system is integrated with Moodle learning management system. The evaluation has beenconducted at the Faculty of organizational sciences, University of Belgrade, during the Summer school in Internet of Things. A group ofseven students played the game, solved the knowledge test, and gave their opinions on usefulness, ease of use, ease of learning andsatisfaction with the developed system. Results show that the game has a positive effect on students’ knowledge and attitudes, and thereforeis suitable for application within a blended learning environment.

A Programming Model for Hybrid Collaborative Adaptive Systems

Hybrid Diversity-aware Collective Adaptive Systems (HDA-CAS) are a new generation of socio-technical systems where both human and machine peers collectively participate in complex cognitive and physical tasks. These systems are characterized by the fundamental properties of hybridity and collectiveness, hiding from users the complexities associated with managing the collaboration and coordination of human-machine teams. The SmartSociety platform is a set of integrated software components that jointly provide a number of advanced HDA-CAS functionalities. As part of the CAS initiative, we have developed a programming model and Java APIs that make the use of those functionalities easy and accessible to application developers. In this paper we present the SmartSociety programming model elements, including the principal contributions - Collectives and Collective-based Tasks. We describe and discuss their functionality, implementation and runtime environment. Finally, we qualitatively evaluate the programming model and the language constructs with respect to the desired HDA-CAS properties.

Risk Reduction Activities Identification in Software Component Integration for Component Based Software Development (CBSD)

Risk Reduction Activities Identification in Software Component Integration for Component Based Software Development (CBSD)

QoS Based Approach for Web Service Recommendation

Web services are important integrated software components for the support of interoperable machine to machine communication over internet. Web services have been widely used for building services oriented applications in industry in recent years. On internet publically available web services are widely increased in recent years. For the web services users it is very hard to select a proper web services among a large amount of services available on internet. Improper selection of web services may cause many problems (e.g., ill- suited performance) to the resulting applications. In this paper we proposed Collaborative Filtering (CF), we propose an innovative CF algorithm for Q-o-S-based web service recommendation. we provide a personalized map for browsing the recommendation results. The map explicitly shows the QoS relationships of the recommended web services as well as the basic structure of the QoS space by using map metaphor such as dots, areas, and spatial arrangement.

Service-provider intelligent humanoid robot using TCP/IP and CORBA

Ubiquitous and traditional service-provider platforms and frameworks are non-flexible and standardized. But ubiquitous environments are dynamic and variable. New service-provider platforms should be capable of handling such changing conditions. Specifically, a flexible and reliable network framework that adapts to various service components is necessary. Towards achieving this goal, this paper proposes a network-based intelligent humanoid robot (NBIHR) consisting of intelligent software components. The framework of an NBIHR requires reliable and stable network connection with real-time response between software components. In the developed service platform, intelligent software components work on the resources that are distributed in the network, and the NBIHR uses the results from the resources. In this way, the NBIHR is able to provide high-quality and intelligent service to users. In this framework, TCP/IP-based interface and middleware CORBA (Common Object Request Broker Architecture) are designed to integrate software components into an NBIHR system. The performance of the developed system is studied to demonstrate its effectiveness.

A Process Algebraic Approach to Resource-Parameterized Timing Analysis of Automotive Software Architectures

Modern automotive software components are often first developed by different suppliers and then integrated under limited resources by a manufacturer. The integration of software components under various resource configurations is prone to timing errors because the components are resources independently designed by the supplier and viewed by the manufacturer as black boxes during the integration stage, so that imposing resource constraints/requirements on their behavior is a challenge. This paper introduces an engineering awareness environment for the analysis of automotive systems with respect to two perspectives: 1) time-aware design models that correspond to the supplier perspective; and 2) resource-aware design models imposed by the manufacturer during integration. To this end, first we propose two timed behavioral models, a time-constrained model ( $\mathsf{TcM}$ ) and a resource-constrained model ( $\mathsf{RcM}$ ) that are extended from a functional model ( $\mathsf{FM}$ ). A timing analysis of applications can hence be conducted incrementally by adopting the separation of concerns principle coming from the model-driven architectures (MDAs). Second, given a basic application component description of AUTomotive Open System Architecture with timing properties, we specify how to define the behavior of the basic components as process terms using a process algebra, algebra of communicating shared resources with value passing (ACSR-VP), in order to exploit the description capability of the language for both timing aspects and resource-constrained aspects of a system. As a result, a timed behavioral model of a system can be seamlessly refined by various resource configurations, and both platform-independent and platform-dependent timing properties of real-time systems can be analyzed in a consistent and efficient manner.

Location and Qos based Web Service Recommender System

Web services are the components usually called as integrated software components which support the interoperable machine-to-machine interaction over any network. In today‟s world, the availability of web services is increasing actively. A recommender system is presented that helps the users to select services with good Quality-of-Service (QoS) performance. This recommender system extracts the information from two parameters called location and QoS values. The basic idea is to predict Web service QoS values and recommend the best one for users based on historical Web service QoS records. Firstly, Locations are clustered using Euclidean distance and then the similarity of users of that particular location is calculated. Likewise, Web services are clustered based on the similarity and then prediction is done based on the clusters formed. After Clustering, the missing data is being predicted using the Pearson correlation of nearest neighboring approach. Prediction is done from both service perspective and user perspective. Once missing data is obtained, services are ready to be recommended. Lastly, users are recommended with services which are being used by them in the history with better QoS values. QoS values (throughput and response time) help in finding best services to be utilized by the user. The system is evaluated using MAE, which is majorly used to evaluate the predicted values. General Terms Item based collaborative filtering techniques; User based collaborative filtering techniques.

Combining personal diaries with territorial intelligence to empower diabetic patients

Information is today recognized as a major source of benefit, for those who are able to properly create and manage it. With the advent of new computing, storing and networking technologies, transforming data into useful, ‘marketable’ information has become a major goal for companies, organizations and governments. The healthcare domain makes no exception. Governments and healthcare companies are paying increasing attention to patient-centered care and to its positive effects on business metrics, such as finances, quality, safety, satisfaction and market share. Appropriate information sharing and communication are then recognized to be one of the key factors for patient-centered care. In this paper, we propose an infrastructure for defining new processes to support a fruitful exchange of strategic information at the local level, which could encourage local dynamics and improve the relationships between ultimate users and the territory and vice versa. This is particularly relevant in the healthcare domain, so we have developed a mobile application to provide diabetic patients with personalized services based on a technology with a low level invasive impact, through the experimentation of new process models meant to share information and integrate software components. Such a special-purpose application is meant to improve care experience of diabetic patients while creating public value for services. This is achieved by a profitable combination of territorial knowledge with personal data and events available and processed on smartphones.

7R Data Value Framework for Open Data in Practice: Fusepool

Based on existing literature, this article makes a case for open (government) data as supporting political efficiency, socio-economic innovation and administrative efficiency, but also finds a lack of measurable impact. It attributes the lack of impact to shortcomings regarding data access (must be efficient) and data usefulness (must be effective). To address these shortcomings, seven key activities that add value to data are identified and are combined into the 7R Data Value Framework, which is an applied methodology for linked data to systematically address both technical and social shortcomings. The 7R Data Value Framework is then applied to the international Fusepool project that develops a set of integrated software components to ease the publishing of open data based on linked data and associated best practices. Real-life applications for the Dutch Parliament and the Libraries of Free University of Berlin are presented, followed by a concluding discussion.