[HTML][HTML] A decade of code comment quality assessment: A systematic literature review

P Rani, A Blasi, N Stulova, S Panichella, A Gorla… - Journal of Systems and …, 2023 - Elsevier
Code comments are important artifacts in software systems and play a paramount role in
many software engineering (SE) tasks related to maintenance and program comprehension …

Machine learning-based test selection for simulation-based testing of self-driving cars software

C Birchler, S Khatiri, B Bosshard, A Gambi… - Empirical Software …, 2023 - Springer
Simulation platforms facilitate the development of emerging Cyber-Physical Systems (CPS)
like self-driving cars (SDC) because they are more efficient and less dangerous than field …

On the significance of category prediction for code-comment synchronization

Z Yang, JW Keung, X Yu, Y Xiao, Z Jin… - ACM Transactions on …, 2023 - dl.acm.org
Software comments sometimes are not promptly updated in sync when the associated code
is changed. The inconsistency between code and comments may mislead the developers …

Automated identification and qualitative characterization of safety concerns reported in uav software platforms

A Di Sorbo, F Zampetti, A Visaggio, M Di Penta… - ACM Transactions on …, 2023 - dl.acm.org
Unmanned Aerial Vehicles (UAVs) are nowadays used in a variety of applications. Given the
cyber-physical nature of UAVs, software defects in these systems can cause issues with …

The NLBSE'24 Tool Competition

R Kallis, G Colavito, A Al-Kaswan… - Proceedings of the …, 2024 - dl.acm.org
We report on the organization and results of the tool competition of the third International
Workshop on Natural Language-based Software Engineering (NLBSE'24). As in prior …

SBFT tool competition 2024-python test case generation track

N Erni, M Al-Ameen, C Birchler… - Proceedings of the 17th …, 2024 - dl.acm.org
Test case generation (TCG) for Python poses distinctive challenges due to the language's
dynamic nature and the absence of strict type information. Previous research has …

An Exploratory Study on Machine Learning Model Management

J Latendresse, S Abedu, A Abdellatif… - ACM Transactions on …, 2024 - dl.acm.org
Effective model management is crucial for ensuring performance and reliability in Machine
Learning (ML) systems, given the dynamic nature of data and operational environments …

Enhancing source code classification effectiveness via prompt learning incorporating knowledge features

Y Ma, S Luo, YM Shang, Y Zhang, Z Li - Scientific Reports, 2024 - nature.com
Researchers have investigated the potential of leveraging pre-trained language models,
such as CodeBERT, to enhance source code-related tasks. Previous methodologies have …

SpiderScan: Practical Detection of Malicious NPM Packages Based on Graph-Based Behavior Modeling and Matching

Y Huang, R Wang, W Zheng, Z Zhou, S Wu… - Proceedings of the 39th …, 2024 - dl.acm.org
Open source software (OSS) supply chains have been attractive targets for attacks. One of
the significant, popular attacks is realized by malicious packages on package registries …

Do CONTRIBUTING Files Provide Information about OSS Newcomers' Onboarding Barriers?

F Fronchetti, DC Shepherd, I Wiese, C Treude… - Proceedings of the 31st …, 2023 - dl.acm.org
Effectively onboarding newcomers is essential for the success of open source projects.
These projects often provide onboarding guidelines in their'CONTRIBUTING'files (eg …