Computer Engineering / Bilgisayar Mühendisliği

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  • Conference Object
    Cosmic Light Vs Cosmic Classic Manual: Case Studies in Functional Size Measurement
    (CEUR Workshop Proceedings, 2020) Hacaloğlu, Tuna; Ünlü, Hüseyin; Demirörs, Onur; Abran, Alain
    Functional size has been used in software engineering for more than 40 years. When measured early in the software development life cycle, it can serve as direct input for effort estimation. The COSMIC Functional Size Measurement (FSM) method developed by the Common Software Measurement Consortium (COSMIC) is the latest ISO-compliant functional sizing method. A streamlined manual titled ''Software Development Velocity with COSMIC Function Points'' summarizes the measurement process and shortens the learning time. The aim of this study is to compare the classic COSMIC FSM manual and this new “light” manual in terms of accuracy of the resulting FSM applied to case studies. The findings show that use of the light manual results in accurate measurement. In addition, there were no significant time differences between the two. With respect to the variations in COSMIC Function Points (CFP) values in the two case studies, they three causes were identified: the Object of Interest (OOI) concept and corresponding data groups, details regarding Functional Process Independence, and Error/Confirmation messages related to the scope of the information included in the manuals. Copyright © 2020 for this paper by its authors.
  • Conference Object
    Challenges and Working Solutions in Agile Adaptation: Experiences From the Industry
    (CEUR Workshop Proceedings, 2020) Özcan Top, Özden; Demirörs, Onur; McCaffery, Fergal
    Challenges in agile adaptation is inevitable in software development projects and have to be dealt with by software practitioners. The pathway to excellence in agility requires experience of challenges, failure of process scenarios; and the discovery of working solutions by software development teams. The major purpose of this study is to highlight both the challenges organizations faced when implementing agile techniques and the solutions adopted that proved successful. In order to specify these challenges and working solutions, we performed a multiple case study by using the Software Agility Assessment Reference Model (AgilityMod). In this paper, we describe two cases that achieve the highest levels of agility among eight cases and describe their experiences in achieving a good adaptation through the challenges that they faced and the solutions that were found for these challenges. Additionally, we provide two challenges that have not been resolved yet and are subject to further discussions. Copyright © 2020 for this paper by its authors.
  • 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
    Citation - Scopus: 2
    A Comparative Study of Modularity-Based Community Detection Methods for Online Social Networks
    (CEUR Workshop Proceedings, 2018) Karataş, Arzum; Şahin, Serap
    Digital data represent our daily activities and tendencies. One of its main source is Online Social Networks (OSN) such as Facebook, YouTube etc. OSN are generating continuously high volume of data and define a dynamic virtual environment. This environment is mostly represented by graphs. Analysis of OSN data (i.e.,extracting any kind of relations and tendencies) defines valuable information for economic, socio-cultural and politic decisions. Community detection is important to analyze and understand underlying structure and tendencies of OSNs. When this information can be analysed successfully, software engineering tools and decision support systems can produce more successful results for end users. In this study, we present a survey of selected outstanding modularity-based static community detection algorithms and do comparative analysis among them in terms of modularity, running time and accuracy. We use different real-world OSN test beds selected from SNAP dataset collection such as Facebook Ego network, Facebook Pages network (Facebook gemsec), LiveJournal, Orkut and YouTube networks.
  • Conference Object
    Citation - Scopus: 6
    Gender Prediction From Tweets With Convolutional Neural Networks: Notebook for Pan at Clef 2018
    (CEUR Workshop Proceedings, 2018) Sezerer, Erhan; Polatbilek, Ozan; Sevgili, Özge; Tekir, Selma
    This paper presents a system1 developed for the author profiling task of PAN at CLEF 2018. The system utilizes style-based features to predict the gender information from the given tweets of each user. These features are automatically extracted by Convolutional Neural Networks (CNN). The system mainly depends on the idea that the informativeness of each tweet is not the same in terms of the gender of a user. Thus, the attention mechanism is included to the CNN outputs in order to discriminate the tweets carrying more information. Our architecture was able to obtain competitive results on three languages provided by the PAN 2018 author profiling challenge with an average accuracy of 75.1% on local runs and 70.23% on the submission run.
  • Conference Object
    Doğruluk Problemi için Veri Kümesi Hazırlanması
    (CEUR Workshop Proceedings, 2018) Karabayır, Arif Kürşat; Tek, Ozan Onur; Çınar, Özgür Fırat; Tekir, Selma
    Internet has become one of the most important information sources. With the advent of Internet, the ease of access and sharing of information have caused the emergence of conflicting information. The increase in conflicting information makes it a challenge to find the truth out of it. This problem is named as the veracity problem. The algorithms that were developed in response to this problem accept structured data as in¬ put. Thus, to be able to use these algorithms on Internet, there is a need to transform the unstructured data on the Internet into a structured form. This need is hard to fulfill in a domain-independent and automatic way considering the variety on Internet. In this work; structured data preparation to test the effectiveness of the truth-finder algorithms is experienced. The process of transforming the unstructured data on the Internet into a structured form is described in steps to contribute its generalization in a domain-independent way. As a result of this process, a new quotes data set is constructed and a truth-finder algorithm is tested on this dataset by giving some comments on it.
  • Conference Object
    Citation - Scopus: 4
    Survey: Running and Comparing Stream Clustering Algorithms
    (CEUR Workshop Proceedings, 2018) Ahmed, Rowanda D.; Dalkılıç, Gökhan; Erten, Murat
    Recently, clustering data streams have become an incredibly important research area for knowledge discovery as applications produce more and more unstoppable streaming data. In this paper we introduce clustering, streams and data streaming clustering algorithms, as well as discussions of the most important stream clustering algorithms, considering their structure. As an additional contribution of our work and differently from review and survey papers in stream clustering, we offer the practical part of the most known stream clustering algorithms, namely: (i) CluStream; (ii) DenStream; (iii) D-Stream; and (iv) ClusTree, showing their experimental results along with some performance metrics computation of for each, depending on MOA framework.
  • Conference Object
    Özellik Yönelimli Ürün Konfigürasyonlarının Olay Sıra Çizgeleri ile Doğrulanması
    (CEUR Workshop Proceedings, 2018) Tuğlular, Tuğkan; Belli, Fevzi; Öztürk, Dilek
    This study attempts to suggest an approach to systematically test potentially very large number of product variants in feature-oriented software. Feature-oriented software forms a popular concept to efficiently realize software reuse. Developing feature-oriented software is well accepted to accomplish software reuse in an efficient way. Developing product variants by exploiting software reuse requires verification of these variants by exploiting test reuse. However, the reuse of tests in the verification of variants is an underworked topic. In this study, we propose a model-based approach to top-down testing of feature-oriented software that does not have dependency or conflict between features. In the case study, event sequence graphs (ESGs) are used to model the software under consideration and then to generate test cases for positive and negative testing. The generated tests are executed via SahiPro web test automation tool, of which scripts are also automatically generated from ESGs.
  • Conference Object
    Citation - Scopus: 7
    Challenges of Using Software Size in Agile Software Development: a Systematic Literature Review
    (CEUR Workshop Proceedings, 2018) Hacaloğlu, Tuna; Demirörs, Onur
    Software size is a fundamental measure for software management. Size is used for a variety of purposes, such as benchmarking, normalization, and portfolio measurement, and it is frequently considered as the sole input of estimation. Estimations can be produced for various reasons; e.g., to predict effort, cost and duration of software development projects. There are different types of software size measures. Particularly in projects where agile methodologies are adopted, measurement becomes a significant challenge as it is perceived as a non-value-added task and records of tasks such as requirements identification are not always consistent. The difficulties of applying traditional size measurement techniques in agile contexts, however, do not diminish the need, and new methods and techniques are introduced to improve the manageability of the agile projects. In this paper, we discuss estimation and measurement approaches in relation with ―software size in agile contexts. Based on this review, we present the perceptions of software size and related challenges, such as misinterpretation of size, difficulties in implementation, and acceptability of the measurement processes. We anticipate that providing a baseline for the state of software size measures in agile contexts and presenting related challenges, particularly in terms of its acceptability by practitioners can shed light on the development of new techniques.
  • Conference Object
    Saydam Artıklı Çalıştırma için Vekil Tasarım Örüntüsü Kullanımı
    (CEUR Workshop Proceedings, 2018) Öz, Dündar; Öz, Sinan; Öz, Işıl
    In this study, we propose a transparent model for reliable execution of object-oriented software. We design a generic object-oriented programming tool for redundant software execution to provide the desired level of reliability against transient hardware faults. To achieve this, we utilize the Proxy design pattern which is one of the well-known GoF design patterns that are formed to make software systems exible and easy to maintain. Proxy design pattern provides a controlled access and a transparent mechanism for adding new functionalities to an existing object when accessing it. Combining the instruments of dynamic proxy and annotations in Java programming language, we present, Redundant- Caller, a generic, transparent, and con gurable tool for redundant execution and majority voting. Our tool takes any object and creates a dynamic proxy for it which executes the methods of the object multiple times in separate threads, and performs majority voting on the background, requiring minimum amount of change in the original user code. Thanks to annotations, users can con gure the redundant execution scheme methodwise. Our experiments demonstrate that our tool provides a signi cant level of reliability to any object-oriented software with a reasonable amount of performance degradation through multithreaded execution.