Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection

Permanent URI for this collectionhttps://hdl.handle.net/11147/7148

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  • Conference Object
    Software Product Line Testing Based on Event Sequence Graphs With Feature Expressions
    (Institute of Electrical and Electronics Engineers Inc., 2023) Kaya, D.O.; Tuglular, T.; Belli, F.
    Software Product Line testing is by its nature challenging, especially due to the exponential rise in the number of assets that need to be verified. Scalability and efficient verification, two challenges that model-based SPL testing must deal with, are discussed in this paper. An approach to automatically obtaining test suites for software product lines is proposed as a solution to these challenges. By exploiting Event Sequence Graphs with Feature Expressions, which concisely depict the Software Product Line behavior, the proposed approach automatically generates test sequences for different product configurations. The presented approach is applied to the illustrative case studies from the literature. © 2023 IEEE.
  • Conference Object
    Citation - WoS: 6
    Citation - Scopus: 6
    Mikroservis Mimarisinde Analiz ve Tasarım: Türkiye’den Bir İnceleme
    (IEEE, 2020) Bilgin, Burak; Ünlü, Hüseyin; Demirörs, Onur
    The demand for more flexible, responsive and reliable software applications and the availability of internet infrastructure to respond to this demand, led to a new generation of cloud-based web applications. As a result, cloud- based distributed web applications working together in a microservice-based architecture has gained popularity. The concept of microservice-based architecture is quite new and software organizations need to transform their culture to develop applications in this fashion. However, there is a lack of research studies in the literature that explores the common practices for the analysis and design of microservices. Thus, we performed a survey to explore the organizational choices on software analysis and design when working with microservices. In this paper, we present the results from Turkey. The results provide a snapshot of the software industry that utilizes microservices and suggests a set of challenges researchers can focus on in the area. © 2020 IEEE.
  • Conference Object
    Citation - Scopus: 1
    Measuring Change in Software Projects Through an Earned Value Lens
    (Springer Verlag, 2018) Efe, Pınar; Demirörs, Onur; Benetallah, Boualem
    Earned Value Management (EVM) is a common performance management tool for project management. EVM enables depicting the project progress in terms of scope, cost and schedule and provides future predictions based on trends and patterns. Even though EVM is widely used in various disciplines like manufacturing and construction, it is not common in software industry. One reason for this underutilization is the mismatch of an inherent nature of the software projects and the traditional EVM. Traditional EVM ignores change effort but it is predominant in software projects. We have developed cEVM as an extension to the traditional EVM to incorporate change and subsequent rework and evolution costs to measure earned value in software development projects more accurately. In this study, we focus on two applications of cEVM we performed to explore the usability of cEVM and to compare cEVM with traditional EVM. This paper discusses the results of the case studies as well as benefits and difficulties of cEVM.
  • Conference Object
    Citation - Scopus: 41
    Effort Estimation for Agile Software Development: Comparative Case Studies Using Cosmic Functional Size Measurement and Story Points
    (Association for Computing Machinery (ACM), 2017) Salmanoğlu, Murat; Hacaloğlu, Tuna; Demirörs, Onur
    Agile methodologies have gained significant popularity among software development organizations during the last decade. Although agile methodologies are regarded as minimizing formal processes, they still utilize an estimation methodology for proper management. Story point is the most common input for agile effort estimation. Story point is an arbitrary measure; it reflects experiences of project participants. On the other hand, functional size is an alternative measure used in practice as an input for effort estimation. In this research, we collect and present the outcomes of three case studies which compared the effectiveness of COSMIC-based and story point based effort estimation in agile context. On selected projects of these organizations, software functional size was measured with COSMIC functional size measurement methodology. Effort prediction models were formed by using COSMIC size and actual effort spent; and the models were tested in terms of their effectiveness. The results show controversial outcomes. For all the cases, COSMIC based estimation was more precise. Therefore, COSMIC is an appropriate measure to estimate the effort in organizations that adopt agile software development. It is also observed that COSMIC allowed for computing productivity which has less disperse distribution than the productivity computed with SP. The data is also provided to help other researchers conduct their own studies.