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Article Education With Experience: Assessment of a Co-Op Model in Undergraduate Engineering Programs in Computing(Ieee Computer Soc, 2023) Nazlioglu, Selma; Turhan, Cigdem; Yazici, AliA major concern among graduates of computing departments is the discrepancy between the expectations of software companies and the competencies provided by the academic departments. This ongoing problem makes co-op education inevitable, as it combines industrial experience with traditional education.Conference Object Citation - WoS: 2Citation - Scopus: 14Exploring Collaboration Patterns Among Global Software Development Teams(Ieee Computer Soc, 2009) Serce, Fatma Cemile; Alpaslan, Ferda-Nur; Swigger, Kathleen; Brazile, Robert; Dafoulas, George; Lopez, Victor; Schumacker, RandyThis study examines communication behaviors in global software student teams. The authors of the paper characterize the types of communication behaviors that occur when student teams are engaged in a software development project. The authors present findings from a one-semester study that examined factors contributing to successful distributed programming interactions among students enrolled at the University of Atilim (Turkey), Universidad Tecnologica de Panama, University of North Texas, and Middlesex University (UK). Using content and cluster analyses techniques, we identified distinct patterns of collaboration and examined how these patterns were associated with task, culture, GPA, and performance of collaborative teams. Our results suggest that communication patterns among global software learners may be related to task type, culture and GPA. It is hoped that these findings will lead to the development of new strategies for improving communication among global software teams.Conference Object Citation - WoS: 4A Comparison of Team Performance Measures for Global Software Development Student Teams(Ieee Computer Soc, 2009) Swigger, Kathleen; Serce, Fatma Cemile; Alpaslan, Ferda Nur; Brazile, Robert; Dafoulas, George; Lopez, VictorOne of the most difficult tasks for global software development researchers is quantifying the performance of groups and students who participate in these distributed projects [30]. There has been much debate about which factors better correlate with team performance and which best describe a successful team. The purpose of this paper is to compare the different approaches that have been used to evaluate the performance of global software learners and show how these techniques can affect research results. Using data from student groups engaged in global software development projects for the past year, the authors apply a number of different assessment methods and show their effects on different performance indicators. Our study suggests that the selection of appropriate measures to evaluate team performance can dramatically affect how one identifies successful teams.Conference Object Citation - Scopus: 3English to Turkish example-based Machine Translation with Synchronous SSTC(Ieee Computer Soc, 2008) Alp, N. Deniz; Turhan, CigdemExample Based Machine Translation (EBMT) is a corpus-based method which is based on using previously translated text. In this project, English to Turkish EBMT system has been developed which uses the Synchronous SSTC for the representation of the sentences in the parallel corpora. This method proves to be effective especially in structurally different languages such as English and Turkish.Article Citation - WoS: 16What We Know About Software Test Maturity and Test Process Improvement(Ieee Computer Soc, 2018) Garousi, Vahid; Felderer, Michael; Hacaloglu, Tuna[No Abstract Available]Conference Object Citation - Scopus: 1A Novel Use of Reinforcement Learning for Elevated Click-Through Rate in Online Advertising(Ieee Computer Soc, 2023) Haider, Umair; Yildiz, BeytullahEfficiently predicting Click-through Rate (CTR) is crucial for the success of online advertising. Traditional methods often struggle to adapt to the dynamic nature of user preferences and the evolving relevance of advertisements. In this study, we propose a novel Reinforcement Learning (RL) approach for CTR prediction, leveraging OpenAI Gym and the Thompson Sampling algorithm. Our approach dynamically estimates CTR, cleverly adapting to the ever-changing landscape of user preferences and advertisement relevance. Results showcase the exceptional performance of Thompson Sampling in CTR prediction, sur-passing other RL methods with a remarkable 10% higher confidence level. This emphasizes the significant potential of our RL approach in optimizing the selection of online advertisements.Conference Object Citation - WoS: 12Citation - Scopus: 17An Object Oriented Complexity Metric Based on Cognitive Weights(Ieee Computer Soc, 2007) Misra, SanjayComplexity in general is defined as "the degree to which a system or component has a design or implementation that is difficult to understand and verify". Complexity metrics are used to predict critical information about reliability and maintainability of software systems. Object oriented software development requires a different approach to software metrics. In this paper, an attempt has been made to propose a metric for an object oriented code, which calculates the complexity of a class at method level. The proposed measure considers the internal architecture of the class, subclass, and member functions, while other proposed metrics for object oriented programming do not. An attempt has also been made to evaluate and validate the proposed measure in terms of Weyuker's properties and against the principles of measurement theory. It has been found that seven of nine Weyuker's properties have been satisfied by the proposed measure. It also satisfies most of the parameters required by the measurement theory perspective, hence establishes as a well-structured one.Conference Object Citation - WoS: 6Citation - Scopus: 10Modified set of Weyuker's properties(Ieee Computer Soc, 2006) Misra, SanjayWeyuker properties have been suggested as a guiding tool in identification of a good and comprehensive complexity measure by several researchers. However, some of the Weyukers properties are useless and evaluations of any complexity measure by these properties are meaningless. In this paper, an attempt has been made to analyze Weyuker's properties and propose a new set of properties to evaluate complexity measures.Conference Object Citation - WoS: 14Citation - Scopus: 21Cognitive Program Complexity Measure(Ieee Computer Soc, 2007) Misra, SanjayIn cognitive informatics, the functional complexity of software depends on three factors: internal architecture, input, and output. In the earlier proposed metrics based on cognitive informatics, these above factors are not fully considered. This paper proposes an improved cognitive complexity measure. Accordingly, new formula is developed to calculate the cognitive complexity. An attempt has also been made to evaluate and validate the proposed measure through Weyuker's properties and a practical framework It has been found that seven of nine Weyuker's properties have been satisfied by the proposed cognitive complexity measure. It also satisfies most of the parameters required by the practical framework hence establishes as a well-structured one. Finally, a comparative study with similar measures has been made to prove its robustness.Conference Object Citation - WoS: 1Gezgin & Gezgin-2(Ieee Computer Soc, 2006) Ismailoglu, N.; Benderli, O.; Yesil, S.; Sever, R.; Okcan, B.; Sengul, O.; Oktem, RusenGEZGIN and GEZGIN-2 are real-time multispectral image processing subsystems developedfor BILSAT-1 and RASAT satellites respectively, the first two earth observing small satellites of Turkey. Main functionality of these subsystems is to compress in real-time multi-spectral images received concurrently from imagers, using JPEG2000 Image Compression algorithm. The compression features are controlled through user-supplied parameters uploaded in-orbit, so that the compression rate could be adapted to bandwidth, image quality and other mission requirements. GEZGIN employs both reconfigurable hardware and a DSP processor for image processing, where as the more advanced GEZGIN-2 contains full integration of the JPEG2000 processing path plus other image pre-processing features on reconfigurable hardware, hence offering increased performance and full re-configurability in orbit. Both systems demonstrate space-tailored architectures for implementing image processing functions where adaptability becomes the crucial issue determining robustness, flexibility and survivability of the system.
