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Conference Object Citation - Scopus: 42Effort Estimation for Agile Software Development: Comparative Case Studies Using Cosmic Functional Size Measurement and Story Points(Association for Computing Machinery, 2017) Salmanoglu,M.; Hacaloglu,T.; Demirors,O.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. © 2017 Association for Computing Machinery.Article Citation - Scopus: 6Exploring the Landscape of E-Government Maturity Models: Insights From Systematic Mapping Study and Comparative Analysis(Association for Computing Machinery, 2024) Okan,A.A.e-Government Maturity Models are essential tools for governments to assess and improve their e-government capabilities, performance, and impact. This article offers a pioneering systematic mapping study and comparative analysis of e-Government Maturity Models proposed between 2010 and 2022, marking a significant stride in the realm of e-government research. The review focuses on these recent models and compares their approaches, frameworks, and dimensions. Previous comparison research studies conducted before 2010 are also reviewed to provide an inclusive context for understanding the evolution and advancement of e-government maturity models. The study is the first to systematically map and compare e-Government Maturity Models proposed in recent years, also comparing with the previous decade.Employing a mixed-methods approach, this article meticulously dissects and contrasts various models, shedding light on the evolution, strengths, and weaknesses of e-government maturity frameworks over more than a decade. The research contributes to the literature by revealing underlying discrepancies in current models and proposing a synthesized perspective that integrates technological advancements and administrative strategies, providing insights into opportunities for future research and practice. The findings of the study can be used to develop a new generation of e-government maturity models that are more comprehensive and relevant to the current needs of governments. © 2024 Copyright held by the owner/author(s). Publication rights licensed to ACM.
