Projects

Large Language Model vs. Stack Overflow in Addressing Android Permission Related Challenges (MSC.-Thesis-Part2) 
• Built a script using OpenAI’s GPT-3.5 to generate responses for Stack Overflow’s Android permission related questions
• Performed qualitative analysis to find the alignment between ChatGPT-generated responses and accepted answers from Stack Overflow
• Performed MOSS analysis to find the syntactical similarities among GPT-3.5 generated responses and analyzed the consistency of GPT-3.5’s response

Investigating Software Developers’ Challenges for Android Permissions in Stack Overflow (MSc.-Thesis-Part1)
• Wrote a python script to mine Android permission-related from Stack Overflow and cleaned the data
• Categorized a multi-level hierarchy for challenges and community provided solutions by qualitative analysis

Exploring Technical Debt in Security Questions on Stack Overflow (MSC.) Fall, 2022
• Mined security related questions from Stack Overflow and cleaned the dataset
• Extracted the meta-data about developers of those questions

Exploratory Analysis on Github Security Discussion (MSC.) Fall, 2021
• Mined security related discussions from GitHub and cleaned the dataset
• Used topic modeling techniques LDA and LSA to find prominent topics

Empirical Study on Code Smells, Design Issues, and Vulnerabilities (MSC.) Fall, 2021
• Investigated the relationship among code smells, design issues, and vulnerabilities
• Mined security report from sync io and vulnerability description from National Vulnerability Database (NVD)
• Performed statistical tests such as Pearson coefficients, Fisher’s exact test, and Chi-square test

Vulnerability Prediction (MSC.) Fall, 2021
• Replicated a scientific paper on vulnerability prediction
• Built machine learning models and compared their results: Gaussian Naïve Bayes, Multi-nominal Naïve Bayes, SVM

 Robotics Project (BSC.) ‘EXPLORER-0100’ 2016 – 2017
• Wrote the scripts for different sensors (load, humidity, ph.) for the scientific task of the rover and worked in a group of 11 members

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