Modeling Framework for Integrated, Model-based Development of Product-Service Systems

Product-service systems (PSS) are seen as the 21st-century solution for direct delivery of value to customers under the requirements of high availability, quality, and reduced risks. With mutual benefits for customers, manufacturers, service providers and often the environment, PSS represent a promising approach to sustainable development. This paper addresses the integrated development of product-service systems consisting of physical products/systems and services and proposes an integrated modeling framework that utilizes the Systems Modeling Language. A use case from Lenze, a German automation company, demonstrates the applicability of the integrated modeling framework in practice

A Framework to Predict the Quality of Answers with NonTextual

New types of document collections are being developed by various web services. The service providers keep track of non-textual features such as click counts. In this paper, we present a framework to use non-textual features to pre- dict the quality of documents. We also show our quality measure can be successfully incorporated into the language modeling-based retrieval model. We test our approach on a collection of question and answer pairs gathered from a community based question answering service where people ask and answer questions. Experimental results using our quality measure show a signi¯cant improvement over our baseline

Categories of Timed Stochastic Relations

AbstractStochastic behavior—the probabilistic evolution of a system in time—is essential to modeling the complexity of real-world systems. It enables realistic performance modeling, quality-of-service guarantees, and especially simulations for biological systems. Languages like the stochastic pi calculus have emerged as effective tools to describe and reason about systems exhibiting stochastic behavior. These languages essentially denote continuous-time stochastic processes, obtained through an operational semantics in a probabilistic transition system. In this paper we seek a more descriptive foundation for the semantics of stochastic behavior using categories and monads. We model a first-order imperative language with stochastic delay by identifying probabilistic choice and delay as separate effects, modeling each with a monad, and combining the monads to build a model for the stochastic language

A lightweight, industrially-validated instrument to measure user satisfaction and service quality experienced by the users of a UML modeling tool

The research community has delivered many comprehensive instruments to measure user satisfaction and service quality. However, they may be tedious to deploy in industrial settings, often leading to low response rates. Industrial organizations are thus looking for simpler and more cost effective ways to measure both user satisfaction and service quality. This paper presents and validates a lightweight 8-item instrument to measure the user satisfaction and the quality of service experienced by the users of a Unified Modeling Language tool. The instrument merges ease of use and service-related items. The analysis of the results of two surveys, conducted in a global high-tech corporation, indicates that the instrument has adequate reliability and validity. It is short, easy to use, and appropriate for both practical and research purposes. Future research is needed to validate the instrument in the context of other organizations and other classes of information systems

A Comparison of Different Topic Modeling Methods through a Real Case Study of Italian Customer Care

The paper deals with the analysis of conversation transcriptions between customers and agents in a call center of a customer care service. The objective is to support the analysis of text transcription of human-to-human conversations, to obtain reports on customer problems and complaints, and on the way an agent has solved them. The aim is to provide customer care service with a high level of efficiency and user satisfaction. To this aim, topic modeling is considered since it facilitates insightful analysis from large documents and datasets, such as a summarization of the main topics and topic characteristics. This paper presents a performance comparison of four topic modeling algorithms: (i) Latent Dirichlet Allocation (LDA); (ii) Non-negative Matrix Factorization (NMF); (iii) Neural-ProdLDA (Neural LDA) and Contextualized Topic Models (CTM). The comparison study is based on a database containing real conversation transcriptions in Italian Natural Language. Experimental results and different topic evaluation metrics are analyzed in this paper to determine the most suitable model for the case study. The gained knowledge can be exploited by practitioners to identify the optimal strategy and to perform and evaluate topic modeling on Italian natural language transcriptions of human-to-human conversations. This work can be an asset for grounding applications of topic modeling and can be inspiring for similar case studies in the domain of customer care quality

Business Process Simulation: Transformation of BPMN 2.0 to Discrete Event System Specification

Theoretical modeling is a complicated characteristic of a simulation study that straight affects the quality and effectiveness of simulation projects. This paper presents a model to model transformation from a conceptual modeling language to a simulation model specification. BPMN (Business Process Model and Notation) is worn for theoretical modeling and DEVS (Discrete Event System Specification) is elected for simulation model requirement. Simulation is a dynamic feature of MDSE and which explains the need of coherent M&S formalisms for simulation activities.Accordingly, this paper presents the simulation of service systems based on DEVS models. It defines a transformation approach of BPMN models into DEVS simulation models based on the metamodel approach, and describes the enrichment of obtained DEVS models through performance indicators (time and costs)

Controlled Components for Internet of Things As-A-Service

In order to facilitate developers willing to create future Internet of Things (IoT) services incorporating the nonfunctional aspects, we introduce an approach and an environment based on controlled components. Our approach allows developers to design an IoT "as-a-service", to build the service composition and to manage it. This is important, because the IoT allows us to observe and understand the real world in order to have decision-making information to act on reality. It is important to make sure that all these components work according to their mission, i.e. their Quality of Service (QoS) contract. Our environment provides the modeling, generates Architecture Description Language (ADL) formats, and uses them in the implementation phase on an open-source platform

Rancang Bangun Model Sistem Informasi Pelayanan Terpadu Satu Pintu untuk Meningkatkan Kualitas Pelayanan Sekolah

The service process in some schools is still running ineffectively, due to the aging process, such as the use of ledgers for archiving and recording of data that is managed, this requires a long time and a large cost, so it is deemed ineffective and inefficient. To overcome this problem, a computerized system is needed so that it can overcome the problem and be able to assist in speeding up the process, besides that it can improve the quality of service. This study proposes the design of a one-stop integrated service information system automatically using various methods including methods of data collection through the process of observation and interviews, current and expected analysis methods using pieces to evaluate performance and design methods using uml (unified modeling language) which includes usecase diagrams, squares diagrams and activity diagrams as tools to describe object-oriented programming languages and the use of mysql for database management, which in turn will produce a wellintegrated system. So this research can improve the quality of school services

The College Academic Service Decision Support System Uses Service Quality and Importance-Performance Analysis Methods

The impact of the Covid-19 pandemic that has hit the world affects human needs in utilizing technology to be able to solve the problems they face. Likewise, universities that want to improve the quality of academic services during a pandemic sometimes have problems with accuracy and speed in data processing when measuring the level of student satisfaction whose information will be used as support in making decisions to improve services. It is better to develop a computerized system that can replace all activities in the process of implementing the measurement of academic service quality from distributing questionnaires to getting the results of Service Quality (Servqual) and Importance-Performance Analysis (IPA) analysis using the Unified Modeling Language (UML) approach. The design of the decision support system used in this design, namely: Use Case Diagrams, Class Diagrams, Activity Diagrams, Sequence Diagrams and Deployment Diagrams. By using a computerized decision support system, the process of measuring the level of student satisfaction with academic services can be carried out quickly, precisely and accurately compared to using word processing and spreadsheet software and provides easy-to-understand information and suggestions for improvement. academic services based on the attributes of the questionnaire accurately using the Service Quality (Servqual) method on Gap 5 and Importance-Performance Analysis (IPA)