WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

Permanent URI for this collectionhttps://hdl.handle.net/11147/7150

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Subject: search.filters.subject.Size measurement

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  • Article
    Citation - WoS: 6
    Citation - Scopus: 8
    Software Size Measurement: Bridging Research and Practice
    (IEEE Computer Society, 2024) Hacaloglu,T.; Unlu,H.; Yildiz,A.; Demirors,O.
    Despite the availability of software size measures with proven effectiveness, structured characteristics, and reliability, practitioners often favor subjective estimation approaches like story points due to perceived ease and flexibility. Amid ongoing industry transformations driven by artificial intelligence, distributed architectures, and agile practices, innovative approaches to software size measurement are crucial to aligning research solutions with evolving industry demands. This study investigates the limited adoption of functional size measurement methods in the software development industry despite their research-backed success. By gathering insights from firms experienced in size measurement, the research aims to uncover industry expectations and facilitate the translation of theoretical methodologies into practical applications. This effort seeks to overcome barriers and promote the integration of novel concepts into the software development landscape. IEEE
  • 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.