جستجوی استاد راهنمای دانشگاهی

Saba Alimadadiمشاهده پروفایل

استادیار

• Software Engineering
• Program Analysis
• Debugging
• +۷ مورد دیگر

Saba Alimadadi is an Assistant Professor in the School of Computing Science at Simon Fraser University, specializing in software engineering with focus on program analysis, debugging, and testing for dynamic languages including JavaScript, TypeScript, and Python. Her research develops practical tools to improve developer productivity through semi-automated comprehension and analysis techniques. Her research interests include: JavaScript program analysis for asynchronous code Debugging methodologies for web applications Testing techniques for dynamic languages Developer productivity tooling Code optimization for server-side JavaScript Dr. Alimadadi's publication record shows consistent contributions to top software engineering venues, with recent work focusing on asynchronous JavaScript analysis, code coverage criteria, and JavaScript application optimization. Her research bridges theoretical program analysis with practical tool development for real-world developer challenges. She serves on program committees for major conferences including ICSE (2021-2026), ASE (2019-2025), and ISSTA (2018-2025), and has held organizational roles such as SPLASH/ISSTA 2026 Poster/Demo/SRC Co-Chair and ASE 2022 Proceedings Chair. At Simon Fraser University, Dr. Alimadadi teaches CMPT 276: Introduction to Software Engineering and CMPT 982/479: Special Topics on Web Engineering, while actively recruiting graduate students for her research group.

Song Wangمشاهده پروفایل

دانشیار

• Software Engineering
• Artificial Intelligence
• Software Reliability
• +۵ مورد دیگر

Song Wang is an Associate Professor in the Department of Electrical Engineering and Computer Science at York University's Lassonde School of Engineering since May 2024. Previously, he served as an Assistant Professor at the same institution from July 2019 to May 2024. He earned his Ph.D. in Computer Engineering from the University of Waterloo in December 2018 under Prof. Lin Tan, an MS degree from the Chinese Academy of Sciences in June 2014 under Profs. Ye Yang and Wen Zhang, and BE and BHRM degrees from Sichuan University in June 2011. Dr. Wang's research focuses on the intersection of Software Engineering and Artificial Intelligence, with two main thrusts: 1) leveraging AI technologies to address software reliability challenges (AI for SE), and 2) developing software reliability techniques to improve AI infrastructure systems (SE for AI). His specific interests include software testing, program analysis, software reliability, and machine learning applications in software engineering. His research has led to tools that have detected hundreds of true bugs across various open-source projects. His recent publications reveal a strong focus on applying large language models to software engineering tasks, analyzing vulnerabilities in deep learning libraries, and developing techniques for software testing and reliability. The research spans multiple subfields including API testing, vulnerability detection, bias analysis in generated code, and automated assurance case generation. TOSEM Distinguished Reviewer Award 2023 APSEC'23 Distinguished Paper Award ACM SIGSOFT Distinguished Paper Award (ICPC 2022) ACM SIGSOFT Distinguished Paper Award (ICSE 2020) Best Paper Award at PROMISE 2019 Dr. Wang actively mentors students at all levels, currently supervising multiple PhD and MASc students. His research group has produced numerous publications in top-tier software engineering venues, including ICSE, FSE, ASE, and TOSEM. He also serves on the editorial board of ACM TOSEM and has been involved in organizing major conferences like ASE and CASCON.