Computer Engineering / Bilgisayar Mühendisliği

Permanent URI for this collectionhttps://hdl.handle.net/11147/10

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Now showing 1 - 7 of 7
  • Conference Object
    Citation - Scopus: 1
    A Survey on Cosmic Students Estimation Challenge
    (CEUR-WS, 2022) Hacaloğlu, Tuna; Say, Bilge; Ünlü, Hüseyin; Küçükateş Ömüral, Neslihan; Demirörs, Onur
    Software project management is a significant software engineering practice that is highly related to achieving software-specific project goals. This study aims to share students’ perceptions of incorporating an international software estimation challenge called “COSMIC Students’ Estimation Challenge” into a software project management course. For this aim, students were taught the COSMIC Functional Size Measurement method and entered the competition. After the competition, a questionnaire asking for the students’ opinions was collected. The objective of the research is to get an insight into to what extent incorporating this type of competition activity -a challenge- can contribute to students’ learning perceptions. In the long run, the findings can contribute to creating a foresight about making the necessary curriculum arrangements to form a more up-to-date and dynamic education plan by including the methods applied in the software industry in Software Engineering education. The results suggest that this kind of competition experience and preparation is helpful for students to learn the COSMIC method.
  • Conference Object
    Citation - WoS: 3
    Citation - Scopus: 4
    Mikroservisler için İşgücü Kestirimi: Bir Durum Çalışması
    (IEEE, 2021) Ünlü, Hüseyin; Hacaloğlu, Tuna; Leblebici, Onur; Demirörs, Onur
    Software size measurement is critical as an input to perform important project management processes such as effort, cost and schedule estimation. Functional size measurement (FSM) methods are beneficial in terms of being applicable in the early phases of the software life cycle over functional requirements and providing a systematic and repeatable method. However, in agile organizations, it can be challenging to seperate measurement components of FSM methods from requirements in the early phases as the documentation is kept to a minimum compared to traditional methods such as the Waterfall Model and is detailed as the project steps. In addition, the existing FSM methods are not fully compatible with today's architectural structures, which are from being data-driven and to evolve into a behaviour-oriented structure. In this study, we performed a case study which includes a project developed with agile methods and using microservice-based architecture to compare the effectiveness of COSMIC FSM and event-based software size measurement. For this purpose, we measured the size of the project and created effort estimation models based on two methods. The measurers had difficulty in applying both methods due to the limited detail level of the requirements in the project. However, the event-based method was found to estimate effort with less error than the COSMIC FSM method.
  • Conference Object
    Citation - WoS: 4
    Citation - Scopus: 9
    Isbsg Veri Seti Kullanılarak Yazılım Efor Kestirimi: Çoklu Durum Çalışmaları
    (IEEE, 2021) Ünlü, Hüseyin; Yalçın, Ali Görkem; Öztürk, Dilek; Akkaya, Güliz; Kalecik, Mert; Ekici, Nazım Umut; Orhan, Oğuzhan; Çiftçi, Okan; Yumlu, Selen; Demirörs, Onur
    Efor kestirimi yazılım projelerinin planlanmasında temel aktivitelerden biridir. Objektif, tekrarlanabilir efor kestirimleri genelde iki ana girdiye ihtiyaç duyar: yazılım büyüklüğü ve efor verisi. Yazılımın büyüklüğü fonksiyonel büyüklük olarak ölçüldüğünde projenin gereksinimlerinin tanımlı olmasından sonra her aşamasında ölçülebilir. Ancak, organizasyonlarda geçmiş projelere ait efor verisine her zaman ulaşmak mümkün olamamaktadır. Bu durumda yeni projeler için geçmiş verilerden yola çıkarak efor kestirim modelleri oluşturmak güç olabilir. Uluslararası Yazılım Kıyaslama Standartları Grubu (International Software Benchmarking Standards Group – ISBSG) veri seti dünya çapında birçok organizasyon tarafından sağlanan yazılım büyüklüğü ve efor bilgisi içeren çok sayıda proje bilgisi içerir. Bu veri seti organizasyonlarda efor kestirimi için kullanılabilir. Bu çalışmada, ISBSG veri setinin sektördeki organizasyonlara ait projelerin efor kestiriminde yararlı olup olmadığını araştırmak amacıyla lisansüstü öğrencileri ile çoklu durum çalışması yapılmıştır. Öğrenciler, çalıştıkları organizasyona ait bir projeyi öncelikle COSMIC İşlevsel Büyüklük Ölçüm yöntemi ile ölçmüş, sonrasında da ISBSG veri setini kullanarak efor kestirim modeli oluşturmuş ve projenin efor tahminini gerçekleştirmiştir. Çalışma sonuçları, efor verisi bulunamayan durumlarda ISBSG kullanarak tutarlı bir efor kestirim modelini oluşturmanın mümkün olduğunu göstermektedir.
  • 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
    Citation - WoS: 1
    Citation - Scopus: 3
    Automated Estimation of Functional Size From Code
    (IEEE, 2020) Özen, Özgesu; Özsoy, Bora; Aktılav, Busenur; Güleç, Eren Can; Demirörs, Onur
    Determination of the size of a software project is challenging as well as crucial for both self-employed software developers and corporate businesses. That's why it is subjected to a lot of academic studies where it is discussed how to determine the size more accurately. Functional Size Measurement (FSM) is one the most popular measurement techniques for a software from the point of the delivered functionality. However, the aspects of know-how, the cost, time, and manual operation creates difficulties to apply FSM techniques. This study aims to solve these issues by automating the measurement process to approximate the functional size of a project using the COSMIC Functional Size Measurement. The end product of this study is called 'Cosmic APP' that utilizes the sequence diagram of a software after reverse engineering it from the given code using a third-party tool called 'SequenceDiagram'. The working principles, the estimation process, and the obtained results of 'Cosmic APP' are described thoroughly in this paper. © 2020 IEEE.
  • Conference Object
    Citation - WoS: 15
    Citation - Scopus: 20
    Measureability of Functional Size in Agile Software Projects: Multiple Case Studies With Cosmic Fsm
    (IEEE, 2019) Hacaloğlu, Tuna; Demirörs, Onur
    Functional size measurement (FSM) has been used in software engineering for decades as a main driver for estimation and significant input for other various project management activities throughout the project life span. To apply FSM accurately at the early stages of software development process, especially for estimation purposes, functional user requirements need to be available in detail as required by the adopted FSM method. However, in agile software development, requirement specifications, in general, are kept minimal. For this reason, the adjustment of the requirements to the necessary granularity level has been articulated as one of the barriers preventing the diffusion of FSM practices among agile teams. In this paper, we take a closer look at this problem in order to investigate the usability of FSM and to reveal FSM related challenges empirically through case studies on real agile projects from different software organizations. This study also provides a snapshot of agile organizations in terms of requirement specification and estimation related practices. © 2019 IEEE.
  • 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.