Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection

Permanent URI for this collectionhttps://hdl.handle.net/11147/7148

Browse

Search Results

Now showing 1 - 10 of 25
  • Conference Object
    Citation - WoS: 2
    Citation - Scopus: 3
    Secure Iot Update Using Blockchain
    (IEEE, 2021) Kaptan, Melike; Tomur, Emrah; Ayav, Tolga; Erten, Yusuf Murat
    In this study a platform is devised to send automatic remote updates for embedded devices. In this scenario there are Original Equipment Manufacturers (OEMs), Software suppliers, blockchain nodes, Gateways and embedded devices. OEMs and software suppliers are there to keep their software on Inter Planetary File System (IPFS) and send the meta-data and hashes of their software to the blockchain nodes in order to keep this information distributed and ready to be requested and used. There are also gateways which are the members of the blockchain and the IPFS network. Gateways are responsible for asking for a specific update for specific devices from IPFS database using the meta-data kept on the blockchain, and they will send those hashed secure updates to the devices. In order to provide a traceable data keeping platform, gateway update operations are handled as transactions in a second blockchain network which is the clockchain of the gateways. The system was implemented as of the two separate blockchain networks and it has been shown that, despite the calculation overhead of the member devices, by separating the functions between the two blockchain networks a more reliable and secure platform can be achieved.
  • Conference Object
    Citation - WoS: 12
    Citation - Scopus: 20
    Loyalty Program Using Blockchain
    (IEEE, 2020) Sönmeztürk, Osman; Ayav, Tolga; Erten, Yusuf Murat
    The traditional loyalty systems usually offer people benefits in a specific sector. The users usually need to stay within the loyalty system for a long time and accumulate points in order to win rewards which may not be very interesting for them most of the time. Additionally, users usually do not prefer to share their personal information to join these loyalty systems due to privacy concerns. It has, therefore, been observed that the number of customers in the loyalty systems is decreasing day by day. To reduce these drawbacks a loyalty program which complies with ERC20 standards was proposed in this study using tokens based on the Ethereum blockchain. Using this new generation loyalty system, users can convert their earned tokens to Ether in the market and they can receive services or products with the accumulated tokens according to their interests from any supplier that has been contracted by the manufacturer. Additionally, users in the designed system do not need to carry many different cards, it is adequate to have only one Ethereum wallet. Furthermore, users do not need to share any personal data to join the loyalty system. Suppliers can also request Ether from the manufacturer for the tokens they have accumulated from the members of the loyalty system. The proposed loyalty system has been implemented and presented in this study.
  • Article
    Citation - WoS: 2
    Citation - Scopus: 1
    Mutant Selection by Using Fourier Expansion
    (Türkiye Klinikleri Journal of Medical Sciences, 2020) Takan, Savaş; Ayav, Tolga
    Mutation analysis is a widely used technique to evaluate the effectiveness of test cases in both hardware and software testing. The original model is mutated systematically under certain fault assumptions and test cases are checked against the mutants created to see whether the test cases can detect the faults or not. Mutation analysis is usually a computationally intensive task, particularly in finite state machine (FSM) testing due to a possibly huge amount of mutants. Random selection could be a practical reduction method under the assumption that each mutant is identical in terms of the probability of occurrence of its associating fault. The present study proposes a mutant selection method based on Fourier analysis of Boolean functions. Fourier helps to identify the most effective transitions on the output so that the mutants related to those transitions can be selected. Such mutants are considered more important since they are more likely to be killed. To evaluate the method, test cases are generated by the well-known W method, which has the capability of detecting every potential fault. The original and reduced sets of mutants are compared with respect to their importance values. Evaluations show that the mutants selected by the proposed technique are more effective, which reduces the cost of mutation analysis without sacrificing the performance of the mutation analysis.
  • Conference Object
    Osek/vdx Uyumlu Katı Gerçek-zamanlı İşletim Sistemleri için Zamanlama Mimarilerinin Değerlendirilmesi
    (IEEE, 2020) Saydam, Berkay; Ayav, Tolga
    Developing technology is reflected to the vehicles as well. But it brings the challenge of adding new functionalities to vehicles without compromising safety. The chips, which are used to provide the functionalities, are determined in the first step of ECU design. This decision will effect the remaining part of the development. Designing hardware and software together with testing phase is a long process in automotive industry. Changing the design of the hardware is quite costly after an ECU begins to be used in field. For these reasons, the selection of chips is directly related to cost and the functionality which should be provided to customer. Tasks, which fulfill desired functionality, provide a balance between performance and safety. These were evaluated for an OSEK/VDX certified OS and results are presented from the scheduling algorithms point of view. © 2020 IEEE.
  • Conference Object
    Yazılım Yapısal Kapsama Analizinde Testlerin Önceliklendirilmesi
    (CEUR Workshop Proceedings, 2015) Ayav, Tolga
    Bu çalışma değiştirilmiş koşul/karar kapsama stratejisince türetilmiş test girişlerinin önceliklendirilmesi için bir teknik sunmaktadır. Teknik Fourier analizine dayanmaktadır ve testlerin hata ortaya çıkarma potansiyellerine göre sıralanabilmesini hedeflemektedir. Bu sayede yazılımın yüksek öncelikli testlerden başlayarak düşüğe doğru sınanması veya test kümesinin yüksek öncelikli testleri kapsayacak şekilde daraltılması mümkün olabilecektir.
  • Conference Object
    Sonlu Durum Makinelerinin Fourier Analizi Tabanlı Sınanması
    (CEUR Workshop Proceedings, 2018) Takan, Savaş; Ayav, Tolga
    Sonlu durum makinesi (FSM), devre ve yazılım testlerinde yaygın kullanıma sahip bir modelleme tekniğidir. FSM'lerin testi için literatürde çeşitli yöntemler bulunmakla birlikte, modellerin büyümesi sonucu test kümesinin büyüklüğü, hata yakalama oranı ve test üretim süresi gibi konularda yüksek başarıma sahip alternatif test yöntemlerine ihtiyaç bulunmaktadır. Bu çalışma ikili fonksiyonların Fourier analizine dayanan yeni bir test oluşturma yöntemi önermektedir. İlk sonuçlar, fonksiyonun frekans bileşenlerinden yararlanarak oluşturulan test takımının daha yüksek bir performansa sahip olduğunu göstermektedir. Önerilen yöntem, karakteristiği, maliyeti ve hata yakalama oranı üzerinden literatürden seçilen iki yöntemle karşılaştırılmıştır.
  • Article
    Citation - WoS: 26
    Citation - Scopus: 30
    Ensuring Performance and Provider Profit Through Data Replication in Cloud Systems
    (Springer Verlag, 2017) Tos, Uras; Mokadem, Riad; Hameurlain, Abdelkader; Ayav, Tolga; Bora, Şebnem
    Cloud computing is a relatively recent computing paradigm that is often the answer for dealing with large amounts of data. Tenants expect the cloud providers to keep supplying an agreed upon quality of service, while cloud providers aim to increase profits as it is a key ingredient of any economic enterprise. In this paper, we propose a data replication strategy for cloud systems that satisfies the response time objective for executing queries while simultaneously enables the provider to return a profit from each execution. The proposed strategy estimates the response time of the queries and performs data replication in a way that the execution of any particular query is still estimated to be profitable for the provider. We show with simulations that how the proposed strategy fulfills these two criteria.
  • Conference Object
    Citation - WoS: 17
    Citation - Scopus: 30
    A Performance and Profit Oriented Data Replication Strategy for Cloud Systems
    (Institute of Electrical and Electronics Engineers Inc., 2017) Tos, Uras; Mokadem, Riad; Hameurlain, Abdelkader; Ayav, Tolga; Bora, Şebnem
    In today's world, tenants of cloud systems expect timely responses to queries that process ever-increasing sizes of data. However, most cloud providers offer their services without any performance guarantees to their tenants. In this paper we propose a data replication strategy that aims to satisfy performance guarantees for the tenant while ensuring profitability of the cloud provider. Our strategy estimates the response time of the queries, as well as the expenditures that affect the profitability of the cloud provider. The decision of whether to perform replication is determined by the fulfillment of these two criteria. Validity of the proposed strategy is provided by means of a simulation study.
  • Article
    Citation - WoS: 4
    Citation - Scopus: 8
    Prioritizing Mcdc Test Cases by Spectral Analysis of Boolean Functions
    (John Wiley and Sons Inc., 2017) Ayav, Tolga
    Test case prioritization aims at scheduling test cases in an order that improves some performance goal. One performance goal is a measure of how quickly faults are detected. Such prioritization can be performed by exploiting the Fault Exposing Potential (FEP) parameters associated to the test cases. FEP is usually approximated by mutation analysis under certain fault assumptions. Although this technique is effective, it could be relatively expensive compared to the other prioritization techniques. This study proposes a cost-effective FEP approximation for prioritizing Modified Condition Decision Coverage (MCDC) test cases. A strict negative correlation between the FEP of a MCDC test case and the influence value of the associated input condition allows to order the test cases easily without the need of an extensive mutation analysis. The method is entirely based on mathematics and it provides useful insight into how spectral analysis of Boolean functions can benefit software testing.
  • Conference Object
    Birleşimsel Devreler için Fourier Analizi Tabanlı Otomatik Test Örüntüsü Oluşturma
    (IEEE, 2015) Ayav, Tolga
    Fourier analysis of boolean functions has attracted great attention from computer scientists in the last decade but it still has few application areas. This work presents a Fourier analysis-based automatic test pattern generation method for combinational circuits.