Browsing by Author "Uysal, Murat Pasa"

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An empirical study in software engineering: the effects of project-based and project-supported methods on product and academic achievements
(2018) Uysal, Murat Pasa
The studies show that many software projects exceed the estimated budget and schedule every year, or they are canceled on account of failure, and thus, this causes the waste of resources expressed in billion dollars. Software engineering education is one of the research areas aiming to produce solutions to this important problem. However, it is seen that there is still a need for large amount of skilled and educated software engineers required for the industry, and this workforce gap is also in an increasing fashion. One of the main reasons is thought to be the traditional or teacher-centered methods that are widely adopted in universities. On the other hand, software product development as well as learning and teaching processes, include a series of activities, which require their applications with a range at different levels. Therefore, the instructional methods should be adopted, which primarily concern the knowledge and skills that need to be acquired by engineering students together with the requirements and attributes of software systems to be developed in courses. Project-Assisted Instruction (PAI) and Project-Based Learning (PBL) can be given as examples for this type of methods. Therefore, in this research, the PBL and PAI methods are used in teaching the Database Management Systems Course, and their effects on academic achievements, product and project performances are explored. It is possible to say that the study has two contributions to the engineering research domain. First, (a) it is a study that compares PAI and PBL in an experimental setting. Second, (b) it presents the guidelines and prescriptions for the application of these methods for the domains of computer and software engineering education based on empirical findings.
The Impact of Developed Energy Efficiency Model on Vessel Valuation
(2018) Koray, Murat; Sogut, M. Ziya; Uysal, Murat Pasa; Karakoc, T. Hikmet; 0000-0002-8349-9403; 0000-0002-9782-7885; 0000-0002-8349-9403; 0000-0001-8182-8667; GQQ-0222-2022; T-2601-2017; GQQ-0222-2022; AAA-1363-2021
An Integrated Research for Architecture-Based Energy Management in Sustainable Airports
(2017) Uysal, Murat Pasa; Sogut, M. Ziya; 0000-0002-8349-9403; 0000-0002-9782-7885; GQQ-0222-2022; T-2601-2017
Energy Management (EM) has become crucial and much more complicated for airports with the introduction of various energy sources, technologies and different comfort requirements. Regarding the aviation industry as one of the major sources of global warming and air pollution, this situation becomes highly critical. However, the review of literature on Energy Management Information Systems (EMIS) for airports shows that the proposed solutions are usually domain-specific, platform-depended and away from suggesting complete solutions and architectures. Therefore, the main argument of this study is that a holistic and integrated approach should be adopted for EM in airports and we claim the notion of sustainability through the use of Enterprise Architecture (EA)-based EM. In this paper, we present the results of a two-faced research study. Action Research (AR) and Design Science Research (DSR) methods are combined to adopt an integrated approach. At the first phase, an EA is developed and evaluated, and then, this is followed by the second phase with three cases to find the potential energy savings in Istanbul Airport. Along with the findings, the primary and secondary contributions of this research brought to the EM knowledge domain are presented. Consequently, there is an important potential for energy saving in the terminal buildings, which would be approximately 70% of the total airport energy consumption. There is also a nearly 250.000 $/year potential saving, and also 121397 $/year for the daylight time and period. This research can be seen as an initial attempt to the enhancement of sustainable airports, and therefore, it has showed the potential for using EAs as a means to improve EM in airports. We hope that this study may help researchers to obtain an overview of existing and possible approaches to sustainability through the use of EAs for EM practices. (C) 2017 Elsevier Ltd. All rights reserved.
Machine learning-enabled healthcare information systems in view of Industrial Information Integration Engineering
(2022) Uysal, Murat Pasa; 0000-0002-8349-9403
Recent studies on Machine learning (ML) and its industrial applications report that ML-enabled systems may be at a high risk of failure or they can easily fall short of business objectives. Cutting-edge developments in this field have increased complexity and also brought new challenges for enterprise information integration. This situation can even get worse when considering the vital importance of ML-enabled healthcare information systems (HEIS). Therefore, the main argument of this paper is that we need to adopt the principles of Industrial Information Integration Engineering (IIIE) for the design, development, and deployment processes of ML-enabled systems. A mixed research paradigm is adopted, and therefore, this study is conducted by following the guidelines and principles of Action Research, Design Science Research, and IIIE. The contributions of this study are two-fold: (a) to draw researchers' and practitioners' attention to the integration problems of ML-enabled systems and discuss them in view of IIIE, and (b) to propose an enterprise integration architecture for ML-enabled HEIS of a uni-versity hospital, which is designed and developed by following the guidelines and principles of IIIE.
Ontology Supported Enterprise Architecture Analysis
(2017) Uysal, Murat Pasa; Karakaya, Murat; 0000-0002-8349-9403; 0000-0002-9542-6965; GQQ-0222-2022; A-4952-2013
Today, processing integrated information within and between enterprises is increasingly becoming more and more critical, and so is the implementation and evaluation of an Enterprise Architecture (EA). The review of literature on EA evaluation shows several issues. However, the evaluation of EAs has not attracted sufficient attention, and thus, this research area has not been explored thoroughly yet. We believe that in order to ensure consistency, interoperability and computational inferences among EAs, a complete and holistic approach, rather than monolithic, should be developed. Therefore, in this study, we propose an ontology-supported process model for the evaluation of EAs, and present the implementation details. The main contributions of the present study are the improvements realized in the expressiveness, extensibility, and computable power of EAs, and their evaluation techniques. Although the proposed model requires gathering empirical evidences and investigating applications in concrete cases, the first implications of the proposed model indicates its validity and feasibility, and, hence, the initial results are promising for continuing future studies.
Smart manufacturing in intelligent digital mesh: Integration of enterprise architecture and software product line engineering
(2021) Uysal, Murat Pasa; Mergen, A. Erhan
Smart Manufacturing (SM) has substantial challenges, such as sharing data and integrating different systems or products into an intelligent, digital and interconnected manufacturing context. This situation naturally points to a contemporary paradigm, Intelligent Digital Mesh (IDM). Recent studies have presented the top ten state of the art technology trends called IDM, and they report forecasts about the technical developments for the future. However, the development of smart systems has been challenging, both for IDM and SM. Additionally, various sources of variability and complexities are inherent in these environments. One of them is the application of the development for SM. Except for the limited techniques; the review of literature cannot provide a comprehensive framework, which provides the integration of platform-, system- and enterprise-specific reusable solutions, while addressing the problems of mass customization and variability. Therefore, we conduct a two-phase mixed research, following the guidelines of the Design Science Research Method. The IDM, Enterprise Architecture (EA) and Software Product Line Engineering (SPLE) approaches are combined to produce a Smart Manufacturing Development Framework (SMDF). This study can be viewed as an attempt to enhance SM and information integration knowledge domains.