SQM 24/24: Neural Metrics [software quality crash course] [eng sub]

A lecture for BSc students in HSE University.

The slides are here: https://github.com/yegor256/sqm (in LaTeX and PDF)

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00:00 Вступление
01:52 Для чего был этот курс
22:22 2021. Neural Software Analysis
25:25 2016. Comparing and Experimenting Machine Learning Techniques for Code Smell Detection
27:39 2016. Deep Learning Code Fragments for Code Clone Detection
29:23 2017. Learning a Static Analyzer From Data
38:47 2013. Distributed Representations of Words and Phrases and Their Compositionality
41:57 2018. DeepBugs: A Learning Techniques Approach to Name-Based Bug Detection
45:07 2018. Detecting Code Smells Using Machine Learning Techniques: Are We There Yet?
50:58 2019. Code2vec: Learning Distributed Representation of Code
56:18 2023. SkipAnalysis With Large Language Models
59:33 2023. Assisting Static Analysis With Large Language Models: A ChatGPT Experiment
01:06:32 2023. Predicting Software Cohesion Metrics With Machine Learning Techniques
01:11:47 2024. Can Open-Source LLMs Detect Bugs in C++ Code?
01:16:40 Выводы по курсу

Видео SQM 24/24: Neural Metrics [software quality crash course] [eng sub] канала Yegor Bugayenko