Bilgisayar Mühendisliği Bölümü

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Citation - Scopus: 0
A course flow model developed for software engineering course
(CEUR-WS, 2018) Yılmaz, M.; Güleç, U.
As in the rest of the world, many software projects in our country exceed the planned budget and time limits, and the user expectations are not fully met. One of the important reasons for this is the lack of work force that well-trained in software engineering domain. In this article, details of a course flow model and the results of the model for the CENG 396 Software Engineering course, which has been carried out in Çankaya University Department of Computer Engineering for the last four years, will be given. The aim of this study is to explain the lesson flow model which is designed to cultivate the appropriate software engineering and software engineers equipped to conditions in Turkey. In addition, the secondary aim is to share the results of the analysis of this study with other software engineer course instructors so that they can benefit from our experience and achievements.
Citation - WoS: 15
Citation - Scopus: 18
A Gamification Approach to Improve the Software Development Process by Exploring the Personality of Software Practitioners
(Springer-verlag Berlin, 2016) Yilmaz, Mert; Yılmaz, Murat; Yilmaz, Murat; O'Connor, Rory V.; Clarke, Paul; Yazılım Mühendisliği
Although there are various kinds of processes designed to manage the complexities of software development, it is still a challenging endeavor. Recently, a significant number of researchers have started to investigate social problems such as incompatibilities with respect to personality that is likely to be encountered in all stages of the software development process. However, there is no computer-based artifact to reveal the personality types of software practitioners. To bridge this gap, a virtual 3D assessment environment is developed with the ability to immerse individuals similar to a realistic model of the assessment. The interactive questionnaire is based on previous interactive personality assessment framework, which was specifically designed for software engineers. Based on the developed tool, a study was conducted on software practitioners. The data gathered via a survey study from software practitioners is analyzed to observe the difference between the results of paper-based and interactive versions of the same assessment. The analysis of this research states that there is a significant difference between the results of participant's survey scores. Overall, these results indicate that proposed tool is relevant to help software professionals to improve the software development process when personality types are in consideration.
Citation - Scopus: 6
A Machine-Based Personality Oriented Team Recommender for Software Development Organizations
(Springer Verlag, 2015) Yilmaz, M.; Yılmaz, Murat; Al-Taei, A.; O’Connor, R.V.; Yazılım Mühendisliği
Hiring the right person for the right job is always a challenging task in software development landscapes. To bridge this gap, software firms start using psychometric instruments for investigating the personality types of software practitioners. In our previous research, we have developed an MBTI-like instrument to reveal the personality types of software practitioners. This study aims to develop a personality-based team recommender mechanism to improve the effectiveness of software teams. The mechanism is based on predicting the possible patterns of teams using a machine-based classifier. The classifier is trained with empirical data (e.g. personality types, job roles), which was collected from 52 software practitioners working on five different software teams. 12 software practitioners were selected for the testing process who were recommended by the classifier to work for these teams. The preliminary results suggest that a personality-based team recommender system may provide an effective approach as compared with ad-hoc methods of team formation in software development organizations. Ultimately, the overall performance of the proposed classifier was 83.3%. These findings seem acceptable especially for tasks of suggestion where individuals might be able to fit in more than one team. © Springer International Publishing Switzerland 2015.
Citation - WoS: 12
Citation - Scopus: 17
A Systematic Investigation into the Use of Game Elements in the Context of Software Business Landscapes: A Systematic Literature Review
(Springer-verlag Berlin, 2017) Olgun, Serhan; Yılmaz, Murat; Yilmaz, Murat; Clarke, Paul M.; O'Connor, Rory V.; Yazılım Mühendisliği
The software development process is a set of socio-technical activities to produce software artifacts in which humans play a crucial role. Since it is a people centric activity, factors such as user motivation, engagement, communication and collaboration might constrain these activities. Therefore, software business organizations stand to benefit from adopting different tools and methods in order to overcome these obstacles and to improve their software business processes. Research has been made to increase software quality and enhance the software development process. Alongside these studies, innovative techniques and concepts are beneficial. As a solution, the notion of gamification (i.e. employing game elements in non-gaming contexts) has been introduced to enhance the software development process and overcome the challenges mostly related to human factors. However, the applicability of game elements in the context of software business landscapes is still a controversial issue and not totally proven as of yet. Numerous studies have been conducted to examine the benefits of gamification and how game elements affect the software development process. Thus, in this paper, a systematic literature review was conducted in order to investigate the application of game elements both in research and industrial levels of software development and as well as in software business landscapes.
Citation - WoS: 2
Citation - Scopus: 0
Adopting Augmented Reality for the Purpose of Software Development Process Training and Improvement: An Exploration
(Springer international Publishing Ag, 2018) Ohri, Ipek; Yılmaz, Murat; Oge, Irem; Orkun, Bora; Yilmaz, Murat; Tuzun, Eray; Clarke, Paul; O'Connor, Rory V.; Yazılım Mühendisliği
Augmented reality (AR) is a technological field of study that bridges the physical and digital world together with a view to improving user experience. AR holds great potential to change the delivery of software services or software process improvement by utilizing a specific set of components. The purpose of this exploratory study is to propose an integration framework to support AR for improving the onboarding process, notably in introducing new hires to the development process while performing their daily tasks. In addition, it also aims to enhance the software development workflow process using AR. Similar to a GPS device that can guide you from point A to point B, our goal is to create software artifacts like navigation components where software teams may benefit from digitally enhanced working conditions provided using AR. After conducting a review in the literature, we confirmed that there is lack of studies about the combination of augmented reality with software engineering disciplines for onboarding. In this paper, we formalized our approach based on the benefits of AR. Ultimately; we propose an AR-based preliminary model for improving the software development process.
Citation - Scopus: 6
An Exploration of Individual Personality Types in Software Development
(Springer Verlag, 2014) Yilmaz, M.; Yılmaz, Murat; O'Connor, R.V.; Clarke, P.; Yazılım Mühendisliği
Previous research - using conventional psychometric questionnaires - has highlighted the importance of aligning compatible personality types in software development teams. However, there does not exist a dedicated, robust questionnaire instrument for revealing the pertinent personality types for software development practitioners. This study analyzes the validity and reliability of a 70-item (context dependent) personality-profiling questionnaire particularly developed to assess personality types of software practitioners. A systematic process of validation, using an iterative approach to questionnaire development, was employed. The questions were developed both with a qualitative analysis of interview data, and based on the opinions of expert reviewers who revised the items through a set of examination. To investigate how stable the questions and reproducible the results, we measured test-retest reliability of the instrument, yielding satisfactory results. The present study provided evidence for the construct validity of the instrument. Ultimately, an initial comparison of the results delivered by the instrument demonstrated positive correlations with the findings acquired with well-known personality assessment instrument, i.e. the big five personality questionnaire. © Springer-Verlag Berlin Heidelberg 2014.
Citation - Scopus: 0
An industrial case study to improve the onboaring process in software management
(CEUR-WS, 2017) Yilmaz, M.; Güleç, U.; O'Connor, R.V.; Clarke, P.; Tüzün, E.
In this study, we investigate expert information about software process known to experienced software developers and study how this is to be transferred to the newly recruited software developers. By this means, the developers who are recruited to a software project should understand better the software development organization and especially its social structure more effectively. Through this work, along with structural and algorithmic improvements of the software product, problems related to adaptation to team culture, adaptation to company culture, and adaptation to software development tools used are also investigated. This study aims to find the requirements in the market so that the recruitment processes can be explored using serious game mechanics. With the help of an industrial case study, we question the applicability a serious game for recruitment in the industry by improving the on-boarding process which has been identified as a problem for many software companies.
Citation - WoS: 24
Citation - Scopus: 34
An Investigation of Software Development Process Terminology
(Springer-verlag Berlin, 2016) Clarke, Paul; Mesquida, Antoni-Lluis; Ekert, Damjan; Ekstrom, J. J.; Gornostaja, Tatjana; Jovanovic, Milos; Yilmaz, Murat
The practice of software development has evolved considerably in recent decades, with new programming technologies, the affordability of hardware, pervasive internet access and mobile computing all contributing to the emergence of new software development processes. The newer process initiatives, which include those which are sometimes referred to as agile or lean methods, have brought with them new terms, which sometimes reflect the introduction of novel concepts. Other times, new terms correspond to long established concepts that have been repackaged. The net position is that we have a proliferation of language and term usage in the software development process domain, a problem which has implications for assessors and assessment frameworks, and for the broader community. In this paper, we explore this problem, finding that it is worthy of further research. Plus, we identify a technique suited to addressing this concern: the establishment of a canonical software process ontological model.
Citation - WoS: 8
Citation - Scopus: 15
Applying Blockchain to Improve the Integrity of the Software Development Process
(Springer international Publishing Ag, 2019) Yılmaz, Murat; Yilmaz, Murat; Tasel, Serdar; Güleç, Ulaş; Tuzun, Eray; Gulec, Ulas; O'Connor, Rory V.; Clarke, Paul M.; 55346; Yazılım Mühendisliği; Bilgisayar Mühendisliği
Software development is a complex endeavor that encompasses application and implementation layers with functional (refers to what is done) and non-functional (how is done) aspects. The efforts to scale agile software development practices are not wholly able to address issues such as integrity, which is a crucial non-functional aspect of the software development process. However, if we consider most software failures are Byzantine failures (i.e., where components may fail and there is imperfect information on which a component has failed.) that might impair the operation but do not completely disable the production line. In this paper, we assume software practitioners who cause defects as Byzantine participants and claim that most software failures can be mitigated by viewing software development as the Byzantine Generals Problem. Consequently, we propose a test-driven incentive mechanism based on a blockchain concept to orchestrate the software development process where production is controlled by a similar infrastructure based on the working principles of blockchain. We discuss the model that integrates blockchain with the software development process, and provide some recommendations for future work to address the issues while orchestrating software production.
Citation - Scopus: 0
Augmented reality based continuous onboarding framework
(CEUR-WS, 2018) Ohri, İ.; Öge, İ.; Orkun, B.; Yılmaz, M.; Tüzün, E.
Having an efficient and effective onboarding process for a newcoing employee is a very important factor for the following work performance. For this reason, the orientation process is a process that should be well assessed both in terms of company and employees. Based on the fact that using virtual objects in the real environment enhances the efficiency in learning new things, in this project, the onboarding process is managed by augmented reality (AR) technology. One of the main objectives of the project is guiding the software engineers effectively with the help of augmented reality by providing them interactive communication between their colleagues and the projects.
Citation - WoS: 1
Citation - Scopus: 4
Automatic detection of mitochondria from electron microscope tomography images: a curve fitting approach
(Spie-int Soc Optical Engineering, 2014) Taşel, Faris Serdar; Tasel, Serdar F.; Hassanpour, Reza; Hassanpour, Reza; Mumcuoglu, Erkan U.; Perkins, Guy; Martone, Maryann; Yazılım Mühendisliği; Bilgisayar Mühendisliği
Mitochondria are sub-cellular components which are mainly responsible for synthesis of adenosine tri-phosphate (ATP) and involved in the regulation of several cellular activities such as apoptosis. The relation between some common diseases of aging and morphological structure of mitochondria is gaining strength by an increasing number of studies. Electron microscope tomography (EMT) provides high-resolution images of the 3D structure and internal arrangement of mitochondria. Studies that aim to reveal the correlation between mitochondrial structure and its function require the aid of special software tools for manual segmentation of mitochondria from EMT images. Automated detection and segmentation of mitochondria is a challenging problem due to the variety of mitochondrial structures, the presence of noise, artifacts and other sub-cellular structures. Segmentation methods reported in the literature require human interaction to initialize the algorithms. In our previous study, we focused on 2D detection and segmentation of mitochondria using an ellipse detection method. In this study, we propose a new approach for automatic detection of mitochondria from EMT images. First, a preprocessing step was applied in order to reduce the effect of non-mitochondrial sub-cellular structures. Then, a curve fitting approach was presented using a Hessian-based ridge detector to extract membrane-like structures and a curve-growing scheme Finally, an automatic algorithm was employed to detect mitochondria which are represented by a subset of the detected curves. The results show that the proposed method is more robust in detection of mitochondria in consecutive EMT slices as compared with our previous automatic method.
Citation - Scopus: 0
Bilgisayar Mühendisliği Bitirme Projeleri için Düşünülmüş Bir Süreç Yönetim Modeli
(CEUR-WS, 2016) Yilmaz, M.; Güleç, Ulaş; Taşel, S.; Güleç, U.; Sopaoǧlu, U.; Bilgisayar Mühendisliği
Citation - WoS: 10
Citation - Scopus: 13
Cengo: A Web-Based Serious Game To Increase the Programming Knowledge Levels of Computer Engineering Students
(Springer international Publishing Ag, 2019) Güleç, Ulaş; Gulec, Ulas; Yilmaz, Murat; Yılmaz, Murat; Yalcin, Alihan Dogus; O'Connor, Rory V.; Clarke, Paul M.; Bilgisayar Mühendisliği; Yazılım Mühendisliği
In recent years there has been an increased use of serious games to help increase the level of knowledge and experience of individuals working in different domains. In particular serious games for educational purposes have been used in many domains including software engineering and computer science [1]. Hence, this study proposes a quantitative research approach to increase the programming knowledge levels of the first-year undergraduate students at computer engineering departments. For this aim, a responsive web platform was developed to teach the syntax and logic of the C programming language by using game elements. This environment provided students with an ability to independently investigate the C programming language continuously since the platform is always accessible. To better understand the effectiveness of the designed environment, 10 first-year computer engineering students were selected as a pilot experimental group. According to the results obtained from the user tests, this game can be used as an educational tool, which supports the traditional training methods, to increase the knowledge levels of students about the syntax and logic of the C programming language.
Citation - WoS: 0
Citation - Scopus: 0
Classification of Linked Data Sources Using Semantic Scoring
(Ieice-inst Electronics information Communication Engineers, 2018) Yumusak, Semih; Doğdu, Erdoğan; Dogdu, Erdogan; Kodaz, Halife; 142876; Bilgisayar Mühendisliği
Linked data sets are created using semantic Web technologies and they are usually big and the number of such datasets is growing. The query execution is therefore costly, and knowing the content of data in such datasets should help in targeted querying. Our aim in this paper is to classify linked data sets by their knowledge content. Earlier projects such as LOD Cloud, LODStats, and SPARQLES analyze linked data sources in terms of content, availability and infrastructure. In these projects, linked data sets are classified and tagged principally using VoID vocabulary and analyzed according to their content, availability and infrastructure. Although all linked data sources listed in these projects appear to be classified or tagged, there are a limited number of studies on automated tagging and classification of newly arriving linked data sets. Here, we focus on automated classification of linked data sets using semantic scoring methods. We have collected the SPARQL endpoints of 1,328 unique linked datasets from Datahub, LOD Cloud, LODStats, SPARQLES, and SpEnD projects. We have then queried textual descriptions of resources in these data sets using their rdfs: comment and rdfs: label property values. We analyzed these texts in a similar manner with document analysis techniques by assuming every SPARQL endpoint as a separate document. In this regard, we have used WordNet semantic relations library combined with an adapted term frequency-inverted document frequency (tfidf) analysis on the words and their semantic neighbours. In WordNet database, we have extracted information about comment/label objects in linked data sources by using hypernym, hyponym, homonym, meronym, region, topic and usage semantic relations. We obtained some significant results on hypernym and topic semantic relations; we can find words that identify data sets and this can be used in automatic classification and tagging of linked data sources. By using these words, we experimented different classifiers with different scoring methods, which results in better classification accuracy results.
Citation - WoS: 2
Citation - Scopus: 2
Clinical Decision Support Systems: From the Perspective of Small and Imbalanced Data Set
(Ios Press, 2019) Par, Oznur Esra; Sever, Hayri; Akcapinar Sezer, Ebru; Sever, Hayri; 11916; Bilgisayar Mühendisliği
Clinical decision support systems are data analysis software that supports health professionals' decision - making the process to reach their ultimate outcome, taking into account patient information. However, the need for decision support systems cannot be denied because of most activities in the field of health care within the decision-making process. Decision support systems used for diagnosis are designed based on disease due to the complexity of diseases, symptoms, and disease-symptoms relationships. In the design and implementation of clinical decision support systems, mathematical modeling, pattern recognition and statistical analysis techniques of large databases and data mining techniques such as classification are also widely used. Classification of data is difficult in case of the small and / or imbalanced data set and this problem directly affects the classification performance. Small and/or imbalance dataset has become a major problem in data mining because classification algorithms are developed based on the assumption that the data sets are balanced and large enough. Most of the algorithms ignore or misclassify examples of the minority class, focus on the majority class. Most health data are small and imbalanced by nature. Learning from imbalanced and small data sets is an important and unsettled problem. Within the scope of the study, the publicly accessible data set, hepatitis was oversampled by distance-based data generation methods. The oversampled data sets were classified by using four different machine learning algorithms. Considering the classification scores of four different machine learning algorithms (Artificial Neural Networks, Support Vector Machines, Naive Bayes and Decision Tree), optimal synthetic data generation rate is recommended.
Citation - Scopus: 6
Designing Games for Improving the Software Development Process
(Springer Verlag, 2015) Kosa, M.; Yılmaz, Murat; Yilmaz, M.; Yazılım Mühendisliği
With the proliferation of relevant technologies that enables interactive social engagements, games became a strong driving power for next generation social environments. One of the reason for this is that there is an engaging nature in both digital and non-digital games, which is also suitable for creating serious kind of interactions such as teaching, training, learning, etc. Recently, researchers have started developing games or game-like applications in particular domains such as education, management, medicine. Although there are loads of empirical studies about game-based learning in general, scholars from information systems, computer science and software engineering domains have only a few attempts to develop and use the specific properties of games in their context-dependent environments. This workshop paper takes a look at some of these efforts and discusses about the pros and cons of such approaches. It is also argued that using well-designed, validated and pertinent non-digital games could be beneficial for improving the software development process. In particular, such approaches can be transformed into useful tools for teaching information systems and software engineering undergraduate or post-graduate students the fundamentals of information systems and software engineering. © Springer International Publishing Switzerland 2015.
Citation - Scopus: 1
Distributed Query Processing and Reasoning over Linked Big Data
(Springer Science and Business Media Deutschland GmbH, 2022) Mohammed, H.H.; Doğdu, E.; Choupani, R.; Zarbega, T.S.A.; 21259
The enormous amount of structured and unstructured data on the web and the need to extract and derive useful knowledge from this big data make Semantic Web and Big Data Technology explorations of paramount importance. Open semantic web data created using standard protocols (RDF, RDFS, OWL) consists of billions of records in the form of data collections called “linked data”. With the ever-increasing linked big data on the Web, it is imperative to process this data with powerful and scalable techniques in distributed processing environments such as MapReduce. There are several distributed RDF processing systems, including SemaGrow, FedX, SPLENDID, PigSPARQL, SHARD, SPARQLGX, that are developed over the years. However, there is a need for computational and qualitative comparison of the differences and similarities among these systems. In this paper, we extend a previous comparative analysis to a diverse study with respect to qualitative and quantitative analysis views, through an experimental approach for these distributed RDF systems. We examine each of the selected RDF query systems with respect to the implementation setup, system architecture, underlying framework, and data storage. We use two widely used RDF benchmark datasets, FedBench and LUBM. Furthermore, we evaluate and examine their performances in terms of query execution time, thus, analyzing how those different types of large-scale distributed query engines, support long-running queries over federated data sources and the query processing times for different queries. The results of the experiments in this study show that SemaGrow distributed system performs more efficiently compared to FedX and Splendid, even though in smaller queries the former performs slower. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
Citation - Scopus: 4
Dynamic binary location based multi-watermark embedding algorithm in DWT
(Asian Research Publishing Network, 2015) Hussein, A.J.; Yuksel, S.; Elbasi, E.
In order to achieve a good imperceptibility and robustness, using 4-level DWT algorithm based on dynamic binary host image location and embedding two watermark logos in different DWT levels are proposed for copyright protection and authenticity. In the propounded watermarking algorithm, 5-level DWT is applied to host image to obtain the fifth low frequency sub band (LL5), and examination the dynamic binary location value of selected location for embedding purpose in five different locations in host image using the same algorithm process. Our experimental results demonstrate that our algorithm scheme is imperceptible and robust against several image processing attacks, and watermarked image quality evaluating by calculation of SNR, PSNR, RMSE, and MAE. © 2005 - 2015 JATIT & LLS. All rights reserved.
Citation - WoS: 21
Citation - Scopus: 27
Effective Social Productivity Measurements during Software Development: An Empirical Study
(World Scientific Publ Co Pte Ltd, 2016) Yilmaz, Murat; Yılmaz, Murat; O'Connor, Rory V.; Clarke, Paul; Yazılım Mühendisliği
Much of contemporary scientific discussion regarding factors that influence software development productivity is undertaken in various domains where there is an insuflcient empirical basis for exploring socio-technical factors of productivity that are specific to a software development organization. The purpose of the study is to characterize the multidimensional nature of software development productivity and its social aspects as a set of latent constructs (i.e. variables that are not directly observed) for a medium-sized software company. To this end, we designed an exploratory in-depthfield study based on the hypothesized productivity constructs, which were modeled by a set of factors identified from literature reviews, and later refined by industrial focus groups. In order to demonstrate the applicability of our approach, we conducted confirmatory factor analysis with the data attained from a questionnaire with 216 participants. To investigate factors of influence further, we analyzed the impact of selected team-based variables over the latent constructs of productivity. Taken together, our findings confirm that such an approach can be used to explore the quantifiable influence of socio-technical factors that would affect productivity of a particular software development organization. Ultimately, the resulting model provides guidance to explore the comparative importance of a set of firm-specific factors that may help to improve the productivity of the organization.
Citation - WoS: 4
Citation - Scopus: 5
Examining reward mechanisms for effective usage of application lifecycle management tools
(Springer-verlag Berlin, 2017) Usfekes, Cagdas; Yılmaz, Murat; Yilmaz, Murat; Tuzun, Eray; Clarke, Paul M.; O'Connor, Rory V.; Yazılım Mühendisliği
Application lifecycle management (ALM) highlights the rules of the road for the entire software ecosystems' lifecycle. Successful ALM enables clarity around the entire delivery effort, from defining requirements to deploying the software product. One of the challenges in software engineering today is to orchestrate ALM tools to a set of software projects effectively. In particular, it is challenging for software practitioners to continuously fully engage with the tasks that are assigned to them. The goal of this study is to address such situations using a game theoretic approach by utilizing a reward mechanism, which we intent to test in a medium-sized software development organization. Based on a set of game elements, this study proposes an auction mechanism to address human resource allocation and task optimization issues, and consequently tackle the potential problem of software practitioners' engagement.

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