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Within software product lines (SPL) similar software products are created based on common features. We applied this versatile approach to cross-platform app development by extending the domain-specific language (DSL) of an established model-driven development framework. The goal was to support the formulation of coherent building blocks of business use cases, referred to as workflow elements. While...
The growth in volume, variety, and velocity of data has created new challenges and opportunities for healthcare contexts. Although Business Analytics (BA) technologies, techniques and tools are becoming recognised to improve the ability to analyse multi-spectral healthcare data, in and of themselves they are not sufficient to realise the full potential and benefits possible which can lead to optimal...
The usage of the internet consists of several fields e.g. business, social, government, education, and so on. In business, the internet is needed to connect producers with consumers. Consumers do not need to come to a place to buy some goods. Transactions can be done at home using an internet connection. One of the usage of Internet technology is a web service. The emerging of this technology as there...
Big data are generated from a variety of sources having different representation forms and formats, it raises a research question as how important data relevant to a business context can be captured and analyzed more accurately to represent deep and relevant business insight. There is a number of existing big data analytic methods available in the literature that consider contextual information such...
This paper introduces a concept for the classification of social media posts using twitter as an example. Thereby tweets are classified solely based on their metadata. We hereby use findings of network analysis and determine the strategic position, activity and reputation of a twitter user in order to classify his tweets into SPAM or HAM. Furthermore the next step of development for this concept,...
There are several professional, academic and business channels catering to the information needs of professionals. In this paper we have presented a contextual recommendation system that gathers documents from these channels on behalf of a user and recommends the most relevant documents from the collection based on the current work-context of the user. Starting with an initial context, the system...
One of the challenges confronted by teachers in the context of teaching English as a Second Language (ESL) is to enhance second language learning by using technology based cognitive and socio cognitive approaches. Supportively various research studies have proved that technology plays a major role in supporting the learners in a number of ways in the process of which they become self-directed and...
The concept of O2O caught great interests from operators and researchers. Although O2O brings great opportunity to the market, the chaos and lack of credit make big problems to the thrive of O2O. The context and preference clustering model is proposed in this paper to study the affection of both customer context and service preference. The proposed model aims to realize a clustering method for both...
The rapid development of the Internet and e-commerce has accumulated numerous data about products, services and customers, which contains meaningful information that recommender system can utilize to realize a more accurate recommendation. In daily life, it is nature for users to seek suggestion from a friend and the more professional and intimated the friend is, the more impact the suggestion has...
Clinical safety checklists receive much research attention since they can reduce medical errors and improve patient safety. Computerized checklist support systems are also being developed actively. Such systems should individualize checklists based on information from the patient's medical record while also considering the context of the clinical workflows. Unfortunately, the form definitions, database...
The competition inherent to globalisation has led enterprises to gather in nests of specialised business providers with the purpose of building better applications and provide more complete solutions. This, added to the improvements on the Information and Communications Technologies (ICT), led to a paradigm shift from product-centrism to service-centrism and to the need to communicate and interoperate...
Efficient and flexible server provisioning is one of the most important criteria in measuring quality of cloud service. In order to save time and mitigate risk, images are set up as templates. And to provision a server, the cloud service provider replicates a selected image and then customize it to fulfill the server request. Therefore image set-up is vital to the efficiency and flexibility of cloud...
In this paper, we focus on the exception handling mechanism of CA-CCML (Context-aware Cooperative Composition Modeling Language). First, according to level of exception generation, we divide Web service exceptions into three broad categories by levels of exception generation, which are Service invocation level exception, Syntax level exception and Semantic level exception. Then we make detail classification...
Mining frequent patterns is a crucial task in data mining. Most of the existing frequent pattern mining methods find the complete set of frequent patterns from a given dataset. However, in real-life scenarios we often need to predict the future frequent patterns for different tasks such as business policy making, web page recommendation, stock-market behavior and road traffic analysis. Predicting...
This paper synthesises cognitive engineering and productivity improvement literature to develop a new task based framework for problem solving in complex work environments. We represent decision making as a process flow where cognitive capacity represents the process constraint. We propose efficiency principles that can extend scientific management to knowledge work.
While fans of classical music were found to be underrepresented on social media and music streaming platforms, they constitute an important target group for music recommender systems. We therefore focus on this group of listeners and investigate a wide range of recommendation approaches and variants for the task of music artist recommendation. Within the group of classical music listeners, we further...
Similar with definition of ‘service’, the term ‘service engineering’ (SE) can be broadly defined based on the context and the referring domain. This paper explores the evolutionary definition of SE, with later emphasis on IT/IS perspective. The paper begin with general definition of service and service engineering before elaborating IT perspectives on IT. A review on service orientation, Service Oriented...
The paper presents considerations on the concept of big data. The aim of the paper is to confront the attempts of defining big data with its common understanding by different groups of users. In this research the group of respondents are students of Warsaw University of Economics. The authors advocate that the student's opinion and attitude to big data can be important regarding the fact that they...
This case study compares two different technologies - model-driven development (MDD) and aspect-oriented programming (AOP) - both trying to avoid redundant code, but with very different approaches. A real industrial software system, the OpenSOA platform, which had already applied a model-driven XML/XSL-T approach, is used as the basis for implementation and comparison. For evaluation purpose, we have...
Our experience with email-based marketing campaigns (or short: “Microservices”) showed that they are an intersecting set of a) projects and processes and b) technology and creativity. Their properties of fixed due date, fixed scope and at the same time fixed duration render classical management methodologies unfeasible. The same applies to the supporting enterprise infrastructure architecture, where...
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