… including Java and Python. • We build an open-sourced … details of APIBENCH, current
baselines and evaluation metrics in … -based API recommendation approach specially designed for …

… API recommendation tasks. Specifically, we utilized the existing benchmark APIBENCH-Q
and the newly constructed dataset … new approach named MACAR to enhance ChatGPT's API …

… as effective as on Java due to the inherent challenges of analyzing Python programs. In this
paper, we propose a new real-time API recommendation approach for Python called PyART (…

… APIBENCH-Q, we randomly select 500 questions with API … BIKER-Dataset comprises
33,000 Java-related questions … languages like Python, since our approach relies solely on …

… • we propose an API recommendation approach named … are based on the Java dataset
APIBench-Q provided by Peng et … , such as Python or C#, the recommendation performance may …

… , we use APIBench [38], a benchmark dataset for the API … For APIHelper [50], we re-implement
it using Python 3 and … that we use the API recommendation dataset for Java, and we …

… It analyzes the performance of existing approaches on Python-… For instance, a Java API
recommendation tool’s knowledge … a unified benchmark dataset for API recommendation is a …

… tasks, such as APIbench [27], facilitate the assessment of … We collect Java and Python
repositories from GitHub with over … We adopt a flexible approach by adding timestamps to each …

… ] dataset, which comprises 556 Java files and 544 Python files … tasks: API recommendation
on the APIBench-C dataset and … statistical methods to capture API usage patterns from API co-…

… Kaggle hosts other kinds of workloads (eg, Python (ie, .py) or … sufficient to have a useful
Pandas API benchmark. We also need to … of the Pandas API, which includes all the methods and …