Computer Engineering / Bilgisayar Mühendisliği
Permanent URI for this collectionhttps://hdl.handle.net/11147/10
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Conference Object Citation - WoS: 2Citation - Scopus: 3Impact of Variations in Synthetic Training Data on Fingerprint Classification(IEEE, 2019) İrtem, Pelin; İrtem, Emre; Erdoğmuş, NesliCreating and labeling data can be extremely time consuming and labor intensive. For this reason, lack of sufficiently large datasets for training deep structures is often noted as a major obstacle and instead, synthetic data generation is proposed. With their high acquisition and labeling complexity, this also applies to fingerprints. In the literature, a number of synthetic fingerprint generation systems have been proposed, but mostly for algorithm evaluation purposes. In this paper, we aim to analyze the use of synthetic fingerprint data with different levels of degradation for training deep neural networks. Fingerprint classification problem is selected as a case-study and the experiments are conducted on a public domain database, NIST SD4. A positive correlation between the synthetic data variation and the classification rate is observed while achieving state-of-the-art results.Editorial Message From Tain Symposium Organizing Committee(Institute of Electrical and Electronics Engineers Inc., 2015) Tuğlular, Tuğkan; Cai, Y.; Dustdar, S.; Yamazaki, K.It is a pleasure to welcome you to COMPSAC 2015 Symposium on Technologies and Applications of the Internet (TAIN). This year, first time in its history, COMPSAC is organized as a series of symposiums under the main theme of “Mobile and Cloud Systems – Challenges and Applications”. TAIN Symposium providing a forum to share latest innovations on Internet technologies and applications perfectly matches with the main theme. Topics of interest for TAIN include all types of networks with their architectures and applications as well as their management, performance, and security. Moreover, TAIN Symposium addresses Internet of things (IoT), machine-to-machine (M2M) and peer-to-peer (P2P) communications, content distribution networks (CDN) and also emerging network technologies such as software defined networks (SDN). A vast array of challenges for Internet technologies and applications and proposals for solutions will be discussed in TAIN Symposium.Conference Object Yazılım Yapısal Kapsama Analizinde Testlerin Önceliklendirilmesi(CEUR Workshop Proceedings, 2015) Ayav, TolgaBu 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 Sayısal Devrelerin Model Kontrol Tabanlı Testi(CEUR-WS, 2015) Takan, SavaşBu tezin amacı yazılım mühendisliği alanında yaygınca kullanılan bir test yöntemi olan model doğrulama tabanlı test yönteminin, devrelerin gecikme hata testinin denetlenmesi işlemine uygulamaktır. Devre gecikme hatası devrelerin istenilen zamanda istenilen işlevin yerine getirilmemesinden kaynaklanmaktadır. Bu metodolojide, öncelikle devre bir zamanlı otomata olarak modellenir ve böylece devrenin zamansal karakteristikleri ortaya çıkarılır. Ardından model sürekli olarak belirli varsayımlar çerçevesinde gecikme hataları oluşması için mutasyona uğratılır ve tüm mutant modeller verilen niteliklere göre model doğrulayıcı tarafından kontrol edilir. Test giriş dizisi, model doğrulayıcı tarafından geri döndürülen karşıt örneklerden oluşur. Aşağıda metodolojinin kısa özeti verilmiştir.Conference Object Citation - Scopus: 3Integrated Approach for Privacy Preserving Itemset Mining(Springer, 2012) Yıldız, Barış; Ergenç, BelginIn this work, we propose an integrated itemset hiding algorithm that eliminates the need of pre-mining and post-mining and uses a simple heuristic in selecting the itemset and the item in itemset for distortion. Base algorithm (matrix-apriori) works without candidate generation so efficiency is increased. Performance evaluation demonstrates (1) the side effect (lost itemsets) and time while increasing the number of sensitive itemsets and support of itemset and (2) speed up by integrating the post mining. © 2012 Springer Science+Business Media, LLC.Conference Object A Roadmap for Semantifying Recommender Systems Using Preference Management(Springer, 2010) Tapucu, Dilek; Tekbacak, Fatih; Ünalır, Murat Osman; Kasap, SedaThe work developed in this paper presents an innovative solution in the field of recommender systems. Our aim is to create integration architecture for improving recommendation effectiveness that obtains user preferences found implicitly in domain knowledge. This approach is divided into four steps. The first step is based on semantifying domain knowledge. In this step, domain ontology will be analyzed. The second step is to define an innovative hybrid recommendation algorithm based upon collaborative filtering and content filtering. The third step is based on preference modeling approach. And in the fourth step preference model and recommendation algorithm will be integrated. Finally, this work will be realized on Netflix movie data source. © 2011 Springer Science+Business Media B.V.Conference Object Citation - WoS: 2Citation - Scopus: 2Dynamic Itemset Mining Under Multiple Support Thresholds(IOS Press, 2016) Abuzayed, Nourhan; Ergenç Bostanoğlu, Belgin; Ergenç, BelginHandling dynamic aspect of databases and multiple support threshold requirements of items are two important challenges of frequent itemset mining algorithms. Existing dynamic itemset mining algorithms are devised for single support threshold whereas multiple support threshold algorithms assume that the databases are static. This paper focuses on dynamic update problem of frequent itemsets under MIS (Multiple Item Support) thresholds and introduces Dynamic MIS algorithm. It is i) tree based and scans the database once, ii) considers multiple support thresholds, and iii) handles increments of additions, additions with new items and deletions. Proposed algorithm is compared to CFP-Growth++ and findings are; in dynamic database 1) Dynamic MIS performs better than CFP-Growth++ since it runs only on increments and 2) Dynamic MIS can achieve speed-up up to 56 times against CFP-Growth++.Conference Object Citation - WoS: 3Citation - Scopus: 6Spl-At Gherkin: a Gherkin Extension for Feature Oriented Testing of Software Product Lines(IEEE, 2019) Tuğlular, Tuğkan; Şensülün, SecanAs cloud platforms turn into software product lines (SPLs), testing products composed of customer selected features becomes more and more important. In this paper, we propose a feature-oriented testing approach for platform-based SPLs through a novel extension to Gherkin called SPL-AT Gherkin and a novel automatic test method generation technique, which utilizes TestNG framework. We demonstrate the applicability of the proposed approach by a case study.Conference Object Citation - WoS: 5Citation - Scopus: 5Featured Event Sequence Graphs for Model-Based Incremental Testing of Software Product Lines(IEEE, 2019) Tuğlular, Tuğkan; Beyazıt, Mutlu; Öztürk, DilekThe goal of software product lines (SPLs) is rapid development of high-quality software products in a specific domain with cost minimization. To assure quality of software products from SPLs, products need to be tested systematically. However, testing every product variant in isolation is generally not feasible for large number of product variants. An approach to deal with this issue is to use incremental testing, where test artifacts that are developed for one product are reused for another product which can be obtained by incrementally adding features to the prior product. We propose a novel model-based test generation approach for products developed using SPL that follows incremental testing paradigm. First, we introduce Featured Event Sequence Graphs (FESGs), an extension of ESGs, that provide necessary definitions and operations to support commonalities and variabilities in SPLs with respect to test models. Then we propose a test generation technique for the product variants of an SPL, which starts from any product. The proposed technique with FESGs avoids redundant test generation for each product from SPL. We compare our technique with in-isolation testing approach by a case study.Article Model-Based Selective Layer-Centric Testing(Information Processing Society of Japan, 2018) Belli, Fevzi; Güler Dinçer, Nevin; Linschulte, Michael; Tuğlular, TuğkanModel-based testing of large systems usually requires decomposition of the model into hierarchical submodels for generating test sequences, which fulfills the goals of module testing, but not those of system testing. System testing requires test sequences be generated from a fully resolved model, which necessitates refining the toplevel model, that is, by replacing its elements with submodels they represent. If the depth of model hierarchy is high, the number of test sequences along with their length increases resulting in high test costs. For solving this conflict, a novel approach is introduced that generates test sequences based on the top-level model and replaces elements of these sequences by corresponding, optimized test sequences generated by the submodels. To compensate the shortcoming at test accuracy, the present approach selects components that have lowering impact on the overall system reliability. The objective is to increase the reliabilities of these critical components by intensive testing and appropriate correction which, as a consequence, also increases the overall reliability at less test effort without losing accuracy. An empirical study based on a large web-based commercial system is performed to validate the approach and analyze its characteristics, and to discuss its strengths and weaknesses. © 2018 Information Processing Society of Japan.