Computer Engineering / Bilgisayar Mühendisliği
Permanent URI for this collectionhttps://hdl.handle.net/11147/10
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Conference Object 13. Ulusal Yazılım Mühendisliği Sempozyumu(Izmir Institute of Technology, 2019) Ayav, Tolga; Tekir, Selma; Erten, MuratThe 13th National Software Engineering Symposium (UYMS) of Turkey was held Izmir Institute of Technology on 23-25 September 2019. There has been a great interest in this year’s symposium, as in previous years. UYMS is a platform which helps bring together the software industry and the academicians working in this area. It is being organized since 2003 and it plays an important role in shaping the future of the software industry in Turkey. We would like to thank all the participants whose contributions led to the successful realization of this symposium. We would also like to express our belief that these contributions will lead to a better and more productive efforts in the field of software engineering. Along with the main area of UYMS, in the thematic areas of Software Test Engineering, Software Engineering for Health, Software Modeling, and Graduate Theses, a total of 77 papers were accepted this year. At least three referees reviewed each paper and the papers were evaluated based on these reviews. We thank all the program committee members who served as referees.Conference Object Citation - Scopus: 5Effort Estimation Methods for Erp Projects Based on Function Points: a Case Study(Association for Computing Machinery (ACM), 2017) Küçükateş Ömüral, Neslihan; Demirörs, OnurEnterprise Resource Planning (ERP) Systems evolve at a rapid pace based on customer and industry expectations. As a result, historic project data for these kinds of projects lose their value especially for analogy based estimation methods. In this rapidly evolving domain, function point based methods might provide a sound alternative for ERP effort estimation. This paper presents the results obtained by applying three methods published in the literature in which function points are used as an input for ERP effort estimation. The evaluation of these methods with respect to their measurement processes and estimation errors are presented; their advantages and disadvantages are discussed.
