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Article Citation - WoS: 11Citation - Scopus: 13Challenges in Agile Software Maintenance for Local and Global Development: an Empirical Assessment(Mdpi, 2023) Almashhadani, Mohammed; Mishra, Alok; Yazici, Ali; Younas, MuhammadAgile methods have gained wide popularity recently due to their characteristics in software development. Despite the success of agile methods in the software maintenance process, several challenges have been reported. In this study, we investigate the challenges that measure the impact of agile methods in software maintenance in terms of quality factors. A survey was conducted to collect data from agile practitioners to establish their opinions about existing challenges. As a result of the statistical analysis of the data from the survey, it has been observed that there are moderately effective challenges in manageability, scalability, communication, collaboration, and transparency. Further research is required to validate software maintenance challenges in agile methods.Article Citation - WoS: 16Citation - Scopus: 17Organizational Software Piracy: an Empirical Assessment(Taylor & Francis Ltd, 2007) Mishra, Alok; Akman, Ibrahim; Yazici, AliApplication of Information Technology (IT) has had a significant impact on all aspects of business. Due to technology, the ease with which software can be pirated is increasing and is leading to increased concern for copyright protection. This paper reviews and discusses software piracy issues from a global perspective and reports the findings of a survey concerning the impact of sectors like government, private and academic in Turkey. Although software piracy has long been attracting the interest of academics, no quantitative research has ever been realized in this field in the country. Elsewhere also, most of the software piracy-related studies are from individuals' perspectives and are limited to students, academics, cost, and attitudes. Very few have reported findings related to IT professionals and organizations. The survey was conducted among IT managers of large-scale organizations from different sectors such as the government, private and academic community. Based on the survey of 162 IT managers, the results indicated that sectors have significant impact on software piracy to some extent.Article Citation - WoS: 2Citation - Scopus: 8It Service Management (itsm) Education and Research: Global View(Tempus Publications, 2015) Yazici, Ali; Mishra, Alok; Kontogiorgis, Paul; Software EngineeringThis article provides an overview of Information Technology Service Management (ITSM) and investigates the education and research activities in this discipline from a global perspective. The objectives of the study are to inform the training organizations (e.g., universities, training institutes) on the current status of the educational activities in ITSM at undergraduate and graduate levels; and to guide the researchers by providing quantitative data on the research activities conducted in the field. In the educational arena, the statistical data showed that, stand-alone undergraduate/graduate programs are becoming popular among the high school graduates with elevated expectations of the market place, in addition to the appreciation of the IT service management area by the IT sector and the public. The results of the research findings provide guidelines for curriculum developers in the design and implementation of courses for the de facto interdisciplinary ITSM degree/certificate training programs and motivate and guide the researchers by providing the most recent quantitative data on the ITSM field. It is one of the first studies to provide education and research trends in ITSM area. The present study adds to this important stream of emerging research area and contributes by advancing the understanding of ITSM education and research issues. This paper advances the current state of knowledge on ITSM education and explores recent research trends in this area which is becoming standard towards providing quality IT services in enterprises.Conference Object Citation - Scopus: 2Big Data on Cloud for Government Agencies: Benefits, Challenges, and Solutions(Assoc Computing Machinery, 2018) Rashed, Alaa Hussain; Karakaya, Ziya; Yazici, AliBig Data and Cloud computing are the most important technologies that give the opportunity for government agencies to gain a competitive advantage and improve their organizations. On one hand, Big Data implementation requires investing a significant amount of money in hardware, software, and workforce. On the other hand, Cloud Computing offers an unlimited, scalable and on-demand pool of resources which provide the ability to adopt Big Data technology without wasting on the financial resources of the organization and make the implementation of Big Data faster and easier. The aim of this study is to conduct a systematic literature review in order to collect data to identify the benefits and challenges of Big Data on Cloud for government agencies and to make a clear understanding of how combining Big Data and Cloud Computing help to overcome some of these challenges. The last objective of this study is to identify the solutions for related challenges of Big Data. Four research questions were designed to determine the information that is related to the objectives of this study. Data is collected using literature review method and the results are deduced from there.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.Editorial Foreword(CEUR-WS, 2017) Yazici, Ali; Oǧuztüzün, HalitArticle Citation - WoS: 33Citation - Scopus: 45Software Product Quality Metrics: a Systematic Mapping Study(Ieee-inst Electrical Electronics Engineers inc, 2021) Colakoglu, Fatima Nur; Yazici, Ali; Mishra, AlokIn the current competitive world, producing quality products has become a prominent factor to succeed in business. In this respect, defining and following the software product quality metrics (SPQM) to detect the current quality situation and continuous improvement of systems have gained tremendous importance. Therefore, it is necessary to review the present studies in this area to allow for the analysis of the situation at hand, as well as to enable us to make predictions regarding the future research areas. The present research aims to analyze the active research areas and trends on this topic appearing in the literature during the last decade. A Systematic Mapping (SM) study was carried out on 70 articles and conference papers published between 2009 and 2019 on SPQM as indicated in their titles and abstract. The result is presented through graphics, explanations, and the mind mapping method. The outputs include the trend map between the years 2009 and 2019, knowledge about this area and measurement tools, issues determined to be open to development in this area, and conformity between conference papers, articles and internationally valid quality models. This study may serve as a foundation for future studies that aim to contribute to the development in this crucial field. Future SM studies might focus on this subject for measuring the quality of network performance and new technologies such as Artificial Intelligence (AI), Internet of things (IoT), Cloud of Things (CoT), Machine Learning, and Robotics.Conference Object Citation - WoS: 1Citation - Scopus: 4Smart Contract Upgradability: a Structured and Natural Approach(Institute of Electrical and Electronics Engineers Inc., 2024) Culha, Davut; Yazici, AliSoftware maintenance is crucial as technology rapidly evolves, requiring software to meet new demands and correct errors. Smart contracts, immutable programs on blockchains like Ethereum, face challenges despite their immutability, often needing updates for errors or new features. Smart contracts are upgraded using different patterns, which are not natural because most of them implement upgrades using low-level operations that deviate from their intended use. In other words, these patterns are not natural because upgrades are done by implementing workarounds. Moreover, smart contracts are also susceptible to security vulnerabilities because they may hold large amounts of money. In this paper, upgradability of smart contracts is considered a necessity. For this purpose, a more structured method is proposed by adding high-level features and combining inheritance properties of object-oriented languages. A key component of this method is the gotoContract variable, which allows for the redirection of function calls to upgraded contracts. The proposed method provides a complete upgrade of data and functions in smart contracts. It aims to minimize the effects of upgrades on end users of the smart contracts. Additionally, this natural way of upgrading will help mitigate security risks in the smart contracts by providing a high-level approach to upgrade.Article Citation - WoS: 1Citation - Scopus: 2Software Evolution in Turkey(Univ Osijek, Tech Fac, 2016) Mishra, Alok; Yazici, Ali; Cetin, SemihAccording to a recent Gartner report, Turkey is now to be considered in one of the world's outsourcing destinations since it has secured its place in the list of top 30 countries for Information Technology ( IT), and offshore services. In the last decade, the country has made excellent progress in the software sector, and this is reflected in the rise of its exports to many countries. In this article, we present an overview of advancement of Turkey's software sector, including current trends in software process, testing, quality, and the adoption of agile methods along with techno parks and incentives provided by the government.Conference Object Citation - WoS: 4Citation - Scopus: 3Systematic Mapping Study on Performance Scalability in Big Data on Cloud Using Vm and Container(Springer-verlag Berlin, 2016) Gokhan, Cansu; Karakaya, Ziya; Yazici, AliIn recent years, big data and cloud computing have gained importance in IT and business. These two technologies are becoming complementing in a way that the former requires large amount of storage and computation power, which are the key enabler technologies of Big Data; the latter, cloud computing, brings the opportunity to scale on-demand computation power and provides massive quantities of storage space. Until recently, the only technique used in computation resource utilization was based on the hypervisor, which is used to create the virtual machine. Nowadays, another technique, which claims better resource utilization, called "container" is becoming popular. This technique is otherwise known as "lightweight virtualization" since it creates completely isolated virtual environments on top of underlying operating systems. The main objective of this study is to clarify the research area concerned with performance issues using VM and container in big data on cloud, and to give a direction for future research.
