Software Engineering Development Research Articles

System engineering view on multi-agent technology for industrial applications: barriers and prospects

For over a quarter of a century, multi-agent systems have been considered as one of the most promising technologies for conceptualization, software development and implementation of Artificial Intelligence (AI) solutions. Not so widely but multi-agent technology is also considered as a way of designing complex adaptive systems based on bio-inspired principles of selforganization and evolution. However, in practice, the industry rarely uses multi-agent technology, despite the appearance of new classes of applications for which it is the perfect match, for example, smart cyber-physical systems with digital twins of controlled objects. The paper analyzes the recent anticipations and real achievements in the practical use of multi-agent systems at the industry level. It also identifies the engineering problems that currently impede the extensive industrial implementation of multi-agent systems and technologies as well as the ways to overcome them. Finally, prospects for development of these technologies are evaluated up to the level of industrial implementation.

The computer desktop image compression based on clustering algorithm

SummaryWith the rapid development of computer software and hardware technology and network technology, aiming at the limitations of the traditional image compression standards and the deficiencies of the existing computer desktop image compression methods. By analyzing the characteristics of computer desktop image, according to the characteristics of desktop compression, a compression scheme based on high efficiency video coding (HEVC) and color clustering is proposed, which divides blocks into text/graphics blocks, natural image blocks and mixed blocks based on the features of histogram information and texture information of blocks. In block division and classification, an adaptive dynamic block classification algorithm is proposed which is different from the traditional block partitioning. Compared with the traditional method, the new block classification algorithm can save the code stream and improve the classification accuracy.

A Process Model for Component-Based Model-Driven Software Development

Developing high quality, reliable and on time software systems is challenging due to the increasing size and complexity of these systems. Traditional software development approaches are not suitable for dealing with such challenges, so several approaches have been introduced to increase the productivity and reusability during the software development process. Two of these approaches are Component-Based Software Engineering (CBSE) and Model-Driven Software Development (MDD) which focus on reusing pre-developed code and using models throughout the development process respectively. There are many research studies that show the benefits of using software components and model-driven approaches. However, in many cases the development process is either ad-hoc or not well-defined. This paper proposes a new software development process model that merges CBSE and MDD principles to facilitate software development. The model is successfully tested by applying it to the development of an e-learning system as an exemplar case study.

Heart disease classification using data mining tools and machine learning techniques

Nowadays, in healthcare industry, data analysis can save lives by improving the medical diagnosis. And with the huge development in software engineering, different data mining tools are available for researchers, and used to conduct studies and experiments. For this, we have decided to compare six common data mining tools: Orange, Weka, RapidMiner, Knime, Matlab, and Scikit-Learn, using six machine learning techniques: Logistic Regression, Support Vector Machine, K Nearest Neighbors, Artificial Neural Network, Naive Bayes, and Random Forest by classifying heart disease. The dataset used in this study has 13 features, one target variable, and 303 instances in which 139 suffers from cardiovascular disease and 164 are healthy subjects. Three performance measures were used to compare the performance of the techniques in each tool: the accuracy, the sensitivity, and the specificity. The results showed that Matlab was the best performing tool, and Matlab’s Artificial Neural Network model was the best performing technique. We concluded this research by plotting the Receiver operating characteristic curve of Matlab and by giving several recommendations on which tool to choose taking into account the users experience in the field of data mining.

Conceptual design blueprint for the DiSSCo digitization infrastructure - DELIVERABLE D8.1

Conceptual design blueprint for the DiSSCo digitization infrastructure - DELIVERABLE D8.1

Troubled Worlds

The goal of this syllabus is to interrogate the material, and socioeconomic processes which underpin our everyday information work. In particular, we examine the relationships developing between contemporary information practices and what problematically gets configured as “nature”—that messy world of non-human entanglements that often exists beyond the purview of innovation work, whether digital software development or industrial engineering. Much recent work on the environmental conditions of computing has sought to break down technology-nature dualisms in order to expose the implication of information technology in broader social and material ecologies. Library and information professionals and researchers are well poised to deepen this inquiry by presenting alternative nature-technology epistemologies grounded in longstanding analyses of information resources and their consumption. The “Troubled Worlds” syllabus starts with a discussion of concerns most obviously germane to the work of most library and information science professionals: practices at the intersection of structuring information and computing. Building on this attention, we turn to humanistic approaches to thinking through the era of dominant human activities widely known as the “Anthropocene” by introducing poetic, artistic, and activist lenses. We explore how artistic objects representing an increasingly troubled natural world raise awareness of the challenges facing it, as well as how they may incorporate and reshape information for aesthetic ends. We then look to questions of disability justice and how it works in blended built and natural spaces as well as the many different ways in which bodies respond to the toxic environments produced by information technologies. We next consider the newer design approaches to library and information research, specifically asking how design perspectives on digital information objects get inscribed in the Anthropocene. Lastly, we consider paradigms of repair and making and analyze the different valences through which information researchers and professionals categorize and contextualize what is possible with them. This compilation does not provide a comprehensive review of the literature on the environment within the information fields. Instead, it extends this literature to promote experimental research and practice. The modules construct an interdisciplinary and provisional path through the related literature in a form that we hope may be continually adjusted, rearranged, and augmented.
 Pre-print first published online 03/15/2020

Development and Trend of Space Plug-and-Play Avionics

The rapid construction of satellite systems has become a priority development direction of space technology. Space plug-and-play avionics (SPA) technology has the characteristics of short development cycle, low cost, strong pertinence, and quick results, so it has become a hot research topic in various countries today. This paper comprehensively summarizes the technical system and development trend of SPA. Firstly, the SPA hardware architecture and its three generations evolution process is analyzed; then, the application of SPA technology, including the development of PnP series satellites, OSR-1 satellite, panel extension satellite is introduced; finally, the development trend of SPA technology, including coordinated development of hardware and software technologies, and transforming traditional satellite test methods is also put forward.

ÜLKELERİN GÜVENLİ OLMALARININ TAHMİNİNDE LOJİSTİK REGRESYON, YAPAY SİNİR AĞLARI VE MOORA YÖNTEMLERİNİN KARŞILAŞTIRILMASI

Son yıllarda yazılım ve donanım teknolojisindeki gelişmeler sayesinde araştırmalarda kullanılan veri kümeleri genişlemiş, yapay zeka teknolojilerinin devreye girmesi ile de öngörülerde kullanılan modeller daha geniş anlamlar içeren sonuçların elde edilmesine imkan sağlamıştır. Bu çalışmada her yıl ülkelerdeki suç oranlarını ortaya çıkarmak amacıyla hesaplanan suç endeksi kullanılarak 106 ülkeye ilişkin güvenilir olma durumları tahmin edilmiştir. Bu amaçla lojistik regresyon analizi, yapay sinir ağları ve sınıflandırma yöntemleri arasında olmamasına rağmen farklı bir bakış açısı sağlamak adına çok kriterli karar verme yöntemlerinden biri olan MOORA yöntemi kullanılmıştır. Çalışma sonucunda yapay sinir ağları yöntemi ile ülkelerin güvenilir olma durumlarına göre yapılan tahminlerin doğru sınıflandırma oranının diğer yöntemlere göre fazla olduğu tespit edilmiştir.

An approach to designing and developing an LMS framework appropriate for young pupils

The lifestyle of the new people generation, called in the scientific literature Generation Z, is closely related to the Internet, computer and information technology. Therefore, people and children belonging to this group can be viewed in terms of software technology as specific users who have high requirements regarding the functions and interface of the software applications, connectivity to social networks and instant communication via the Internet. This influenced not only on the teaching and learning methods but also on the software applications used in the learning process. In recent years, new theoretical teaching methods have emerged, and the number of electronic learning systems increased. However, students lack motivation for the learning process. This requires developing new conceptual models of training and learning software, tailored to the skills and preferences of the end-users. The young students up to 12 years of age: from kindergartens to preschools and primary schools are special users who have not been studied exhaustively. In order to present the problem related to the development of learning and training software thoroughly, the most commonly used standards and current trends, as well as the advantages and disadvantages of LMS platforms have been reviewed. Attention is drawn to the commonly used software design and development technologies. This is the reason to propose a strategy for developing a web-based e-learning management system according to the possibilities of young pupils as a specific user. Having in mind this strategy we described a software architecture, based on SCORM's specification, and we developed an LMS prototype. Its design was tailored to the skills of young children. The basic methodology used in the design and creation of the system we propose is user-centered design. The document is intended for developers, educators and scientists, studying child-computer interaction.

Object-Oriented Projects With the Creation of Classes for Mathematical Objects

The article discusses the current problems of software development technology based on an object-oriented programming approach

Crowd-intelligence-based software development method and practices

The evolution of Internet has produced profound impacts on software development technologies, operation forms, and service models. In particular, the underlying crowd intelligence mechanisms in large-scale crowd collaboration practices, such as open sourcing and crowdsourcing, have greatly inspired the software development. Thus, this study investigates the innovation and production models for such open-sourcing and crowdsourcing practices. Based on this analysis, we propose the crowd-intelligence-based software development mechanisms including crowd collaboration, open sharing, and continuous evaluation. Specifically, we study the basic environment, the mechanism model, and the key technologies of crowd collaboration. Based on these aspects, we comprehensively discuss the crowd-intelligence-based software development environment, the involved core factors, and our open-sourcing practice. Finally, we propose the great challenges to be addressed in the future, and hope these studies and discussions are helpful.

IMPLEMENTASI MULTI USER OPERATING SYSTEM (OS) DENGAN CCBOOT

The development of hardware and software technology has caused cybercafe and computer labs to raise the level of the operating system installed on their hardware. The Windows 7 operating system that is usually paired with PC devices is not compatible because there is no software update available for the Windows 7 version. At present, the operating system used is WINDOWS 10, but businesses have difficulty implementing or installing WINDOWS 10 on the device. they. One application that is used to facilitate the use of WINDOWS 10 is CCBoot. This research was conducted by directly applying the use of WINDOWS 10 on a Personal Computer (PC) device with an additional CCboot application. From the results of this study will be concluded whether the implementation of a diskless system with CCBoot can optimize the use of hardware.

IoT and Machine Learning - A Technological Combination for Smart Application

With the rapid developments in hardware, software and communication technologies, a new era of internet connected sensory devices has begun which provides a link between physical and cyber worlds. It is estimated that by 2020 internet connected devices being used will be between 25 and 50 billion. Internet connected devices referred as Internet of Things. IoT provides a huge range of services and applications covering all the domains ranging from infra-structure, retail, transportation and personal health care. Fughua etal. (2015) poised that IoT has empowered the development in internet protocols and communication technologies. In IoT applications, intelligent processing and analysis of big data act as key for their development. Data science technologies help to find new pattern and new insights from data to make IoT applications more intelligent. Data science with IoT is mainly used in various sectors dealing with volume, velocity and pattern recognition. Because of predictive analysis of machine learning, software becomes able to predict incoming desired and undesired events. Therefore, machine learning system is not only recognizing the abnormal behaviour but also help to understand and establish long term trends.A continue correction and supervision is required for effectiveness and efficiency in data analysis. This paper is having two sections- pertaining the different applications of IoT where machine learning helps to make the intelligent system and futuristic scope of IoT and machine learning and how these two technologies help in development of communication devices. This paper will provide the answers to questions such as what is the taxonomy of machine learning that can be adopted in IoT, how can machine learning be applied to IoT applications.

Intelligent urban ecological suitability system based on pattern recognition

Today, with the rapid development of urbanization, the ecological and environmental problems of the city have become increasingly serious and have become the focus of the world. The most important issue facing the majority of ecological workers is how to apply the theory of ecology to solve today’s problems. The various environmental problems faced in urban life and the sustainable development of the city’s ecological civilization. How ecological planning is used to coordinate the relationship between people and the natural environment and natural resources is increasingly gaining attention and expanding the range and scope of its applications. However, as an ecological suitability analysis based on ecological planning, many analytical methods and systems are still being explored and developed due to the geographical complexity and factor diversity involved. In recent years, with the rapid development of computer hardware and software technology, pattern recognition has received more and more attention, pattern recognition and image processing technology has become more and more perfect, and has been successfully applied in more and more fields. This thesis begins to focus on the urban ecological suitability content based on pattern recognition technology and image processing. The main contents of this thesis include: introducing the background of urban ecological suitability and the status quo of ecological suitability analysis and existing research methods. According to the structure of the urban ecosystem and the national standards for the construction of ecological systems and ecological cities, an indicator system for ecological suitability evaluation is established. A pattern recognition system and common pattern recognition and image processing methods are introduced. Based on some common evaluation methods and models, the pattern recognition technology theory and image processing technology are introduced into the urban ecological suitability analysis. Based on the image system theory and vector projection principle, the ecological suitability analysis is established. Associated projection model. The model considers the evaluation sample and the quality standards at each level as vectors, and respectively projects the same vector ideal. Based on establishing the ecological suitability evaluation index system and standards, the ecological suitability was evaluated by using the model.

An advanced technique to predict time-dependent corrosion damage of onshore, offshore, nearshore and ship structures: Part I = generalisation

A reliable and cost-effective technique for the development of corrosion damage model is introduced to predict nonlinear time-dependent corrosion wastage of steel structures. A detailed explanation on how to propose a generalised mathematical formulation of the corrosion model is investigated in this paper (Part I), and verification and application of the developed method are covered in the following paper (Part II) by adopting corrosion data of a ship’s ballast tank structure. In this study, probabilistic approaches including statistical analysis were applied to select the best fit probability density function (PDF) for the measured corrosion data. The sub-parameters of selected PDF, e.g., the largest extreme value distribution consisting of scale, and shape parameters, can be formulated as a function of time using curve fitting method. The proposed technique to formulate the refined time-dependent corrosion wastage model (TDCWM) will be useful for engineers as it provides an easy and accurate prediction of the 1) starting time of corrosion, 2) remaining life of the structure, and 3) nonlinear corrosion damage amount over time. In addition, the obtained outcome can be utilised for the development of simplified engineering software shown in Appendix B.

Enabling the Reuse of Software Development Assets Through a Taxonomy for User Stories

Context - Agile Software Development (ASD) and Reuse-Driven Software Engineering (RDSE) are well-accepted strategies to improve the efficiency of software processes. A challenge to integrate both approaches is that ASD relies mostly on tacit knowledge, hampering the reuse of software development assets. An opportunity to enable RDSE for ASD is by improving the traceability between user stories (USs), the most used notation to register product requirements in ASD. Having enough link semantics between USs could enable defining similarity between them and, consequently, promote RDSE for ASD. However, this is an open challenge. Objective - To propose a taxonomy for adding link semantics between USs, focusing on easing the task of identifying similar ones. Such links, with support of traceability tools, enable the reuse of USs and their related assets. Method : We constructed a taxonomy for types of US focusing on Web Information Systems. The taxonomy is used to classify the US, given two facets: module and operation. Such information is used to infer the similarity between USs using link rules. We developed the taxonomy based on an empirical analysis of five product backlogs, containing a total of 118 USs. Afterward, we validated the taxonomy in terms of its potential to enable the reuse of US-related assets. First, we executed an offline validation by applying it to classify 530 USs from 26 already ended projects. Finally, we applied the taxonomy in a case study with two ongoing projects (59 USs). Results : The proposed taxonomy for USs is composed of two sub-facets, namely, module and operation, which have, respectively, three and 18 terms. In terms of coverage, for the offline study and case study, we classified 90.17% of the USs with the proposed taxonomy. For the case study, we classified all the USs analyzed. Conclusion : We concluded that it is possible to use our approach to compare USs and, consequently, retrieve their related assets. Our results regarding its practical utility have shown that users considered the taxonomy a useful approach to ease the process of assessing the similarity between user stories.

An advanced technique to predict time-dependent corrosion damage of onshore, offshore, nearshore and ship structures: Part II = Application to the ship’s ballast tank

In this study (Part II), the empirical formulation of corrosion model of a ship’s ballast tank was developed to predict nonlinear time-dependent corrosion wastage based on the advanced data processing technique proposed by Part I. The detail on how to propose generalised mathematical formulation of corrosion model was precisely documented in the previous paper (Part I). The statistical scatter of corrosion data at any exposure time was investigated by the refined method and formulated based on a 2-parameter Weibull distribution which selected the best fit PDF. Throughout the nine (9) steps, empirical formulation of the ship’s seawater ballast tank was successfully proposed and four (4) key step results were also obtained. The proposed method in Part I was verified and confirmed by this application of seawater ballast tank, thus making it possible to predict accurate behaviours of nonlinear time-dependent corrosion. Developed procedures and obtained corrosion damage model for ship’s seawater ballast tank can be used for development of engineering software.

Analysis of technology selection problems for software development

The developers have quite a wide selection of technologies for implementing software for securing information systems. The complexity of such systems also grows with the selection. The practical value of the system is to use it when deciding on the choice of information systems software development technology.

Increasing the reliability of information management systems for complex objects

This article describes one of the possible approaches to the implementation of a set of mechanisms and tools for assessing and monitoring software safety based on static and dynamic analysis of programs, which provides an effective check of the operating and developed software. To solve this problem, it is proposed to use mathematical models of program circuits, modern software development technologies and methods of software analysis.

IT Jobs in the Era of Digital Transformation : Big Data Analytics

The era of digital transformation (or the fourth industrial revolution) has been triggered by the rapid development of software (SW) technologies. In this era, several studies suspected rapid changes in job structures occurring around the world. Thus, there is a growing need for acquiring the skill sets required for the future. However, there are no specific studies on how existing jobs are changing. To cope with this ambiguity of job changes, this paper aims to investigate how the current job structure is changing in response to digital transformation. To identify the dynamic nature of job change over time, we conducted an analysis based on job posting data. As a result, nine job occupations and fifteen jobs were found.