Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
Permanent URI for this collectionhttps://hdl.handle.net/11147/7148
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Conference Object Citation - Scopus: 8An Exploratory Case Study on Effort Estimation in Microservices(Institute of Electrical and Electronics Engineers Inc., 2023) Unlu,H.; Hacaloglu,T.; Omural,N.K.; Caliskanel,N.; Leblebici,O.; Demirors,O.Software project management plays an important role in producing high-quality software, and effort estimation can be considered as a backbone for successful project management. Size is a very significant attribute of software by being the only input to perform early effort estimation. Even though functional size measurement methods showed successful results in effort estimation of traditional data-centric architectures such as monoliths, they were not designed for today's architectures which are more service-based and decentralized such as microservices. In these new systems, the event concept is highly used specifically for communication among different services. By being motivated by this fact, in this study, we looked for more microservice-compatible ways of sizing microservices using events and developed a method accordingly. Then, we conducted an exploratory case study in an organization using agile methods and measured the size of 17 Product Backlog Items (PBIs) to assess how this proposed method can be useful in effort estimation in microservices. The implication from the case study is that despite performing a more accurate effort estimation using the proposed size measurement than COSMIC, we were unable to significantly outperform using the total number of events. However, our suggested approach demonstrated to us a different way to use software size in terms of events, namely, to determine the coupling complexity of the project. This finding can be beneficial specifically when evaluating the change requests. © 2023 IEEE.Article Citation - WoS: 6Citation - Scopus: 8Software 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