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Found 9 papers, 5 papers with code
ChatGPT Incorrectness Detection in Software Reviews
We find that they want to use ChatGPT for SE tasks like software library selection but often worry about the truthfulness of ChatGPT responses.
Contrastive Learning for API Aspect Analysis
For impact analysis, we performed empirical and developer study.
An Empirical Study of IoT Security Aspects at Sentence-Level in Developer Textual Discussions
We have two goals: (1) Develop a model that can automatically find security-related IoT discussions in SO, and (2) Study the model output to learn about IoT developer security-related challenges.
Are You Misinformed? A Study of Covid-Related Fake News in Bengali on Facebook
The best performing model is BERT, with an F1-score of 0. 97.
An Empirical Study of the Effectiveness of an Ensemble of Stand-alone Sentiment Detection Tools for Software Engineering Datasets
We report the results of an empirical study that we conducted to determine the feasibility of developing an ensemble engine by combining the polarity labels of stand-alone SE-specific sentiment detectors.
Quality Assurance Challenges for Machine Learning Software Applications During Software Development Life Cycle Phases
We developed a taxonomy of MLSA quality assurance issues by mapping the various ML adoption challenges across different phases of SDLC.
Mining API Usage Scenarios from Stack Overflow
Each task consists of a code example, the task description, and the reactions of developers towards the code example.
Software Engineering
Early Prediction for Merged vs Abandoned Code Changes in Modern Code Reviews
In our empirical study on the 146, 612 code changes from the three software projects, we find that (1) The new features like reviewer dimensions that are introduced in PredCR are the most informative.
A Benchmark Study of Machine Learning Models for Online Fake News Detection
In this research, we conducted a benchmark study to assess the performance of different applicable machine learning approaches on three different datasets where we accumulated the largest and most diversified one.
