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The paper presents the approach of selection general architecture pattern and design tactics for the software project. Proposed method is based on the satisfying required software quality attributes. The domain ontology is defined along with the main concepts and structure. Base software architectural patterns and main design tactics were analyzed and as a result the problem of building software architecture with required quality attributes has stated. As a solution, analytical model of selecting necessary tactics has presented. The general approach to select the best software architecture pattern and tactics is defined and described with the example of preventive maintenance systems.
At the current paper the analytical model and method of software architectural pattern and tactics selection for Internet of Things systems was presented. The meaning of IoT is generalized, vertical and horizontal classification of IoT systems has been provided with base quality attributes for such systems. Necessary software quality attributes were achieved by using base architectural pattern along with design tactics. Presented analytical model describes achievement of the software quality attributes with regards to project effort calculated with COCOMO II model. This approach allows to minimize effort calculation function and select suitable architectural patterns and design tactics on the earliest stages of the project. Usage of the presented methods potentially minimizes errors on the software architecture design stage, when only requirements and system prerequisites are available. As a result, the evaluation of one of the architectural patterns for IoT preventive maintenance system is presented. Proposed approach could be used on the earliest stages of the project for achieving the necessary quality attributes of the software and minimizing software cost as well as during prototype creation within strict time frame.
The SAP x Tech Banking InnoJam & BootCamp pilot seminar, organized by SAP, was held on the site of the National Research University "Higher School of Economics". Participants had to offer a solution for the task of accounting for client data in order to increase the effectiveness of risk management and increase the attractiveness of banking products. The banking sector, like many activities, may be at risk. The crisis of the banking system revealed significant shortcomings in risk management. Therefore, it is necessary to create a risk management structure for the bank to carry out effective activities.
One of the main questions in product life cycle management is how to create the comprehensive framework for autonomous, intelligent decision-making which integrates business and scheduling data. The key problem is to simulate human-like decision-making process to provide agile manufacturing process. Multiagent technologies play a key role in this problem and form an integration platform between human and manufacturing. Also developing distributed control system based on multiagent technologies encounters difficulties, due to ambiguous, vague, or missing information. In the area of intelligent manufacturing systems, there are a number of fuzzy scheduling models presented (Subramaniam et al. in Int J Adv Manuf Technol 16(10): 759–764, ; Srinoi et al. in Int J Prod Res 44 (11): 1–21, ). These frameworks only deal with manufacturing processes. The research presents multiagent framework that integrates design, manufacturing, and control process in fuzzy area using resource-based approach to agent’s interaction. This model is applicable to work with various manufacturing agents in conjunction with different design agents and control systems.
This book presents and discusses the most recent innovations, trends, results, experiences and concerns with regard to information systems. Individual chapters focus on IT for facility management, process management and applications, corporate information systems, design and manufacturing automation. The book includes new findings on software engineering, industrial internet, engineering cloud and advance BPM methods. It presents the latest research on intelligent information systems, computational intelligence methods in Information Systems and new trends in Business Process Management, making it a valuable resource for both researchers and practitioners looking to expand their information systems expertise.
With this paper authors present the formalized approach for managing IS-enabled organizational transformation based on the adaptation of House of Quality technic. The provided approach uses fuzzy sets and multi-criteria decision-making methods to quantify relations between business benefits and organizational change management measures in order to support designing rational set of organizational change management measures during information system implementation project under cost- and time-constraint conditions.
The main goal of this paper is to describe the integrated approach to product lifecycle management in the context of enterprise information system landscape. Product lifecycle management is a part of the common information area in the enterprise. In this work the analysis of enterprise interoperability problems was presented. To classify such problems and solution approaches we use a framework for enterprise interoperability, described by D. Chen at . The paper suggests reference architecture for product lifecycle management systems based on multi-agent concept. It promotes understanding of the interrelationships of different lifecycle stages for acquiring and manipulating concurrent engineering knowledge.
Nowadays hospitals face the problem of increasing quality and at the same time reducing costs of their services. Clinical pathways approach has established itself as an effective method of reorganization of medical practice in a process-oriented way. Since more than a decade, clinical pathways are being created and applied in hospitals in the USA, Australia, and European countries. Traditional text-based approach for documenting clinical pathways does not allow automatic analysis and makes the maintenance of the models inefficient. Recently, researchers started to apply generic modeling languages, such as UML activity diagrams, EPC or BPMN, as well as domain specific process modeling languages, in order to formalize the representation of clinical pathways. However, none of these languages sufficiently covers the requirements of clinical pathway models, and the choice of a suitable modeling technique remains a problem. In this paper, we propose a modeling methodology and a modeling tool for creating graphical semantically annotated models of clinical pathways. We take into account the characteristics and usage scenarios of clinical pathways and show, how the proposed approach addresses these requirements.