Bilgisayar Mühendisliği Bölümü Yayın Koleksiyonu

Permanent URI for this collectionhttps://hdl.handle.net/20.500.12416/253

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  • Editorial
    Citation - WoS: 3
    Citation - Scopus: 4
    Improving Social Aspects of the Software Development Process: Games, Gamification and Related Approaches
    (Graz Univ Technolgoy, inst information Systems Computer Media-iicm, 2016) Yilmaz, Murat; Yılmaz, Murat; O'Connor, Rory V.; Mora, Manuel; O’Connor, Rory V.; Yazılım Mühendisliği
  • Article
    Citation - Scopus: 6
    Design Effort Estimation Using Complexity Metrics
    (2004) Salman, N.; Salman, Nael; Doǧru, A.; Bilgisayar Mühendisliği
    Component-oriented software development is a new trend and is becoming very popular these days. In addition to requiring a different development approach, the new orientation also requires a different metrics approach. A set of metrics for Component Oriented Software Engineering was first introduced in previous research. These metrics set were used to measure the quality of component-oriented software designs. The impact of these metrics on design effort is investigated in this paper. A statistical model is developed based on nine projects that carried out component-oriented software development. Design effort is expressed as a junction of a subset of the complexity metrics.
  • Conference Object
    Citation - WoS: 49
    Citation - Scopus: 66
    Software Engineering Education and Games: a Systematic Literature Review
    (Graz Univ Technolgoy, inst information Systems Computer Media-iicm, 2016) Kosa, Mehmet; Yılmaz, Murat; Yilmaz, Murat; O'Connor, Rory V.; Clarke, Paul M.; O’Connor, Rory V.; Yazılım Mühendisliği
    The trend in using games in elementary level education also spreads through higher education levels and specific domains such as engineering. Recently, researchers have shown an increased interest in the usage of games in software engineering. In this paper, we are presenting a systematic review and analysis of 350 papers regarding games in software engineering education that was published in the last fifteen years. After applying our inclusion criteria and manual inspection of these studies, we have ended up with 53 primary papers. Based on a systematic process, we reported and discussed our findings with possible future research directions. The main results of this study indicate that the studies are accumulated around 5 categories: Games that learners/students play, games that learners/students develop as projects, curriculum proposals, developing/coming up with new approaches, tools, frameworks or suggestions and others.
  • Article
    Citation - WoS: 7
    Citation - Scopus: 10
    A Literature Survey: Is It Necessary To Develop a New Software Development Methodology for Virtual Reality Projects
    (Graz Univ Technolgoy, inst information Systems Computer Media-iicm, 2017) Güleç, Ulaş; Gulec, Ulas; Yilmaz, Murat; Yılmaz, Murat; Isler, Veysi; Bilgisayar Mühendisliği; Yazılım Mühendisliği
    Software development is a complex human endeavour with high failure rates. Although a variety of software development methodologies have been proposed to improve the software development process, there is no universal model for all software development organizations. Virtual reality (VR) is an emerging trend especially for the gaming industry, which should prepare itself for VR development. The goal of this study is to explore potential software development activities and determine whether designing a new software development methodology for VR projects is an important topic for software development organizations working on VR software development. For this purpose, a literature survey has been completed and 71 academic studies have been examined in detail. This study shows that no work is being conducted in the field of developing a new methodology for VR projects. However, the study does show that there are similar endeavours in the field of human computer interaction (HCI), such as game development methodology.
  • Article
    Citation - WoS: 43
    Citation - Scopus: 53
    Gamification as a Disruptive Factor in Software Process Improvement Initiatives
    (Graz Univ Technolgoy, inst information Systems Computer Media-iicm, 2014) Herranz, Eduardo; Yılmaz, Murat; Colomo-Palacios, Ricardo; de Amescua Seco, Antonio; Yilmaz, Murat; Yazılım Mühendisliği
    For any Software Process Improvement (SPI) initiative to succeed human factors, in particular, motivation and commitment of the people involved should be kept in mind. In fact, Organizational Change Management (OCM) has been identified as an essential knowledge area for any SPI initiative. However, enough attention is still not given to the human factors and therefore, the high degree of failures in the SPI initiatives is directly linked to a lack of commitment and motivation. Gamification discipline allows us to define mechanisms that drive people's motivation and commitment towards the development of tasks in order to encourage and accelerate the acceptance of an SPI initiative. In this paper, a gamification framework oriented to both organization needs and software practitioners groups involved in an SPI initiative is defined. This framework tries to take advantage of the transverse nature of gamification in order to apply its Critical Success Factors (CSF) to the organizational change management of an SPI. Gamification framework guidelines have been validated by some qualitative methods. Results show some limitations that threaten the reliability of this validation. These require further empirical validation of a software organization.
  • Article
    Citation - WoS: 13
    Citation - Scopus: 15
    The Diagnosis of Developmental Dysplasia of the Hip From Hip Ultrasonography Images With Deep Learning Methods
    (Lippincott Williams & Wilkins, 2023) Ureten, Kemal; Tokdemir, Gul; Tolunay, Tolga; Ciceklidag, Murat; Atik, Osman Sahap; Atalar, Hakan
    Background:Hip ultrasonography is very important in the early diagnosis of developmental dysplasia of the hip. The application of deep learning-based medical image analysis to computer-aided diagnosis has the potential to provide decision-making support to clinicians and improve the accuracy and efficiency of various diagnostic and treatment processes. This has encouraged new research and development efforts in computer-aided diagnosis. The aim of this study was to evaluate hip sonograms using computer-assisted deep-learning methods. Methods:The study included 376 sonograms evaluated as normal according to the Graf method, 541 images with dysplasia and 365 images with incorrect probe position. To classify the developmental hip dysplasia ultrasound images, transfer learning was applied with pretrained VGG-16, ResNet-101, MobileNetV2 and GoogLeNet networks. The performances of the networks were evaluated with the performance parameters of accuracy, sensitivity, specificity, precision, F1 score, and AUC (area under the ROC curve). Results:The accuracy, sensitivity, specificity, precision, F1 score, and AUC results obtained by testing the VGG-16, ResNet-101, MobileNetV2, and GoogLeNet models showed performance >80%. With the pretrained VGG-19 model, 93%, 93.5%, 96.7%, 92.3%, 92.6%, and 0.99 accuracy, sensitivity, specificity, precision, F1 score, and AUC results were obtained, respectively. Conclusion:In this study, in addition to the ultrasonography images of dysplastic and healthy hips, images were also included of probe malpositioning, and these images were able to be successfully evaluated with deep learning methods. On the sonograms, which provided criteria appropriate for evaluation, successful differentiation could be made of healthy hips and dysplastic hips.
  • Article
    Citation - Scopus: 2
    Automatic Detection of Spina Bifida Occulta With Deep Learning Methods From Plain Pelvic Radiographs
    (Springer Science and Business Media Deutschland GmbH, 2023) Üreten, K.; Maraş, Y.; Maraş, H.H.; Gök, K.; Atalar, E.; Çayhan, V.; Duran, S.
    Purpose: Spina bifida occulta (SBO), which is the most common congenital spinal deformity, is often seen in the lower lumbar spine and sacrum. In this study, it is aimed to develop a computer-aided diagnosis method that will help clinicians in the diagnosis of spina bifida occulta from plain pelvic radiographs with deep learning methods and transfer learning method. Materials and methods: The You Only Look Once (YOLO) algorithm was used for object detection, and classification was made by applying transfer learning with a pre-trained VGG-19, ResNet-101, MobileNetV2, and GoogLeNet networks. Our dataset consisted of 206 normal lumbosacral radiographs and 160 SBO lumbosacral radiographs. The performance of the models was evaluated by metrics such as accuracy, sensitivity, specificity, precision, F1 score, and area under the ROC curve (AUC) results. Results: In the detection of SBO, 85.5%, 80.8%, 89.7%, 87.5%, 84%, and 0.92 accuracy, sensitivity, specificity, precision, F1 score, and AUC results were obtained with the pre-trained VGG-19 model, respectively. The pre-trained VGG-19 model performed better than the others. Conclusion: Successful results were obtained in this study performed to the diagnosis of SBO with deep learning methods. A model that will assist physicians in the diagnosis of SBO can be developed with new studies to be conducted with a large number of spinal radiographs. © 2023, The Author(s), under exclusive licence to The Brazilian Society of Biomedical Engineering.
  • Conference Object
    An Experimental Study on Decomposition: Process First or Structure First?
    (2019) Çetinkaya, Anıl; Suloğlu, Selma; Kaya, M. Çağrı; Karamanlıoğlu, Alper; Tokdemir, Gül; Doğru, Ali H.
    This article explores the answer to the question of considering the process or the structure dimensions earlier, in software development where decomposition is a preferred technique for top-down model construction. In this research, an experimental study was conducted to observe which software modeling practice is more convenient: process or structural modeling, for the beginning. The study was conducted in different courses that include software modeling where students work within groups to model a system with predefined requirements. The students used Business Process Modeling Notation and Component-Oriented Software Engineering Modeling Language modeling tools. Observations based on the results are analyzed and discussed. The results seem to prioritize the process dimension.
  • Article
    Surface modification by 1 keV ion impact: molecular dynamics study of an Ar+-Ni(100) collision system
    (IOP Publishing Ltd, 2008) Özdoğan, Cem; Atis, Murat; Güvenç, Ziya B.
    An Ar+-Ni(1 0 0) collision system at 1 keV impact energy was investigated by using realistic isoenergetic molecular dynamics (MD) simulations. The sputtering process upon Ar+ ion impact and damage to the Ni(1 0 0) surface are examined in detail. Studying of high bombarding energy regions leads to the necessity of larger and thick enough slabs, otherwise incoming ions can easily pass through the slab; as a result, investigated physical properties may not be revealed. In addition the simulation time should be long enough to observe and to calculate a reliable macroscopic property such as sputtering yield that is addressed in this study. In order to preserve the total energy in the simulation at this collision energy a small time-step (0.1 fs) is used. We have made use of our developed linear scaling parallel MD program to overcome these demands. The Ni(1 0 0) slab is formed by 63700 atoms (122 angstrom x 122 angstrom x 44 angstrom) and the total observation time for each collision event is about 2.25 ps. Several properties such as penetration depths, angular and energy distributions of the reflected Ar and sputtered Ni atoms as well as dissociation time, embedded, scattering, sputtering patterns and geometries of the sputtered clusters are also reported, and the calculated sputtering yield is found to be in good agreement with the available experimental results.
  • Article
    Citation - Scopus: 3
    Oscillation for a Nonlinear Dynamic System on Time Scales
    (2011) Mert, R.; Erbe, L.
    We study the oscillation properties of a system of two first-order nonlinear equations on time scales. This form includes the classical Emden-Fowler differential and difference equations and many of its extensions. We generalize some well-known results of Atkinson, Belohorec, Waltman, Hooker, Patula and others and also describe the relation to solutions of a delay-dynamic system. © 2011 Taylor & Francis.