Kerem Nazlıel, Data Science Technology Selection: Development of a Decision-Making Approach

Recent developments in IT and Analytics have created a multitude of technologies for analytics professionals to use. This technology variety complicates the technology selection process. When improper technologies are selected, analytics teams face problems, inefficiencies, and technical debt. To solve this problem, this thesis proposes a systematic technology selection approach and tests it on a case study.

Date: 29.12.2022 / 14:00 Place: A-108

English

Suna Durmuş, Acceptance of Software Process Improvement Models in Small and Medium Sized Enterprises: Empirical Findings of IT Sector in Turkey

The software industry is playing a significant role in development of economies all over the world. It is mainly made up of small and medium software enterprises (SMEs). These companies aim to benefit from Software Process Improvements (SPI) to increase product quality and productivity. As SPI require organizational change and adaptation to new work practices; organizations have to handle with several challenges emerged from this change. The objective of this study is to identify the factors that influence the success and the acceptance of SPI models used in SMEs. Moreover, it is aimed to analyze the attitude of SME employees towards the SPI models in Turkey.

Date: 25.01.2023 / 14:00 Place: B-116

English

Salih Samet Akar, Development And Validation Of A Cloud Framework For A Small And Medium Enterprise In Defense Industry

With the widespread use of cloud computing in software development processes, many industries have started to use cloud computing. Within the scope of this study, a framework has been created to enable the use of cloud computing in the defense industry. While creating the framework, all the constraints required by the defense industry were complied with and the appropriate cloud structure was selected. At the end of the study, the use of the framework was confirmed by the defense industry employees.

Date: 19.01.2023 / 10:00 Place: ODTÜ Enformatik Enstitüsü

English

Berat Tuna Karlı, Attack Independent Perceptual Improvement of Adversarial Examples

This research aims to enhance the perceptual quality of adversarial attacks, regardless of the type of attack used. To achieve this, the study proposes an integration of two seperate attack independent techniques. The first technique, called Normalized Variance Weighting, applies a variance map to intensify the perturbations in high variance areas. The second technique, called the Minimization Method, minimizes the perceptual distance between the benign and adversarial example iteratively. Integrated Method, with the first method applied during the attack and the second method applied after the attack has quantifically the best visual quality.

Date: 23.12.2022 / 10:00 Place: A108

English

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