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Found 8 papers, 2 papers with code
CAT-LM: Training Language Models on Aligned Code And Tests
We also drastically increase the maximum sequence length of inputs to 8, 192 tokens, 4x more than typical code generation models, to ensure that the code context is available to the model when generating test code.
AI for Low-Code for AI
We task 20 developers with varying levels of AI expertise with implementing four ML pipelines using LowCoder, replacing the LowCoder_NL component with a simple keyword search in half the tasks.
SoftNER: Mining Knowledge Graphs From Cloud Incidents
We have deployed SoftNER at Microsoft, a major cloud service provider and have evaluated it on more than 2 months of cloud incidents.
Search4Code: Code Search Intent Classification Using Weak Supervision
We evaluate the approach against several baselines on a real-world dataset comprised of over 1 million queries mined from Bing web search engine and show that the CNN based model can achieve an accuracy of 77% and 76% for C# and Java respectively.
Neural Knowledge Extraction From Cloud Service Incidents
Prior work on incident management has been heavily focused on the challenges with incident triaging and de-duplication.
Product Insights: Analyzing Product Intents in Web Search
Web search engines are frequently used to access information about products.
Studying Ransomware Attacks Using Web Search Logs
Cyber attacks are increasingly becoming prevalent and causing significant damage to individuals, businesses and even countries.
Analyzing Web Search Behavior for Software Engineering Tasks
Subsequently, we propose a taxonomy of intents to identify the various contexts in which web search is used in software engineering.
