Large language models for software engineering: A systematic literature review

X Hou, Y Zhao, Y Liu, Z Yang, K Wang, L Li… - ACM Transactions on …, 2024 - dl.acm.org
Large Language Models (LLMs) have significantly impacted numerous domains, including
Software Engineering (SE). Many recent publications have explored LLMs applied to …

[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 …

Automatic code documentation generation using gpt-3

JY Khan, G Uddin - Proceedings of the 37th IEEE/ACM International …, 2022 - dl.acm.org
Source code documentation is an important artifact for efficient software development. Code
documentation could greatly benefit from automation since manual documentation is often …

An empirical study on deployment faults of deep learning based mobile applications

Z Chen, H Yao, Y Lou, Y Cao, Y Liu… - 2021 IEEE/ACM 43rd …, 2021 - ieeexplore.ieee.org
Deep learning (DL) is moving its step into a growing number of mobile software applications.
These software applications, named as DL based mobile applications (abbreviated as …

How to fight production incidents? an empirical study on a large-scale cloud service

S Ghosh, M Shetty, C Bansal, S Nath - … of the 13th Symposium on Cloud …, 2022 - dl.acm.org
Production incidents in today's large-scale cloud services can be extremely expensive in
terms of customer impacts and engineering resources required to mitigate them. Despite …

Practitioners' expectations on automated code comment generation

X Hu, X Xia, D Lo, Z Wan, Q Chen… - Proceedings of the 44th …, 2022 - dl.acm.org
Good comments are invaluable assets to software projects, as they help developers
understand and maintain projects. However, due to some poor commenting practices …

Self-admitted technical debt practices: a comparison between industry and open-source

F Zampetti, G Fucci, A Serebrenik… - Empirical Software …, 2021 - Springer
Self-admitted technical debt (SATD) consists of annotations, left by developers as comments
in the source code or elsewhere, as a reminder about pieces of software manifesting …

Ten quick tips for clinical electroencephalographic (EEG) data acquisition and signal processing

G Cisotto, D Chicco - PeerJ Computer Science, 2024 - peerj.com
Electroencephalography (EEG) is a medical engineering technique aimed at recording the
electric activity of the human brain. Brain signals derived from an EEG device can be …

Evaluating transfer learning for simplifying github readmes

H Gao, C Treude, M Zahedi - Proceedings of the 31st ACM Joint …, 2023 - dl.acm.org
Software documentation captures detailed knowledge about a software product, eg, code,
technologies, and design. It plays an important role in the coordination of development …

Evaluating the usability of differential privacy tools with data practitioners

IC Ngong, B Stenger, JP Near, Y Feng - Twentieth Symposium on …, 2024 - usenix.org
Differential privacy (DP) has become the gold standard in privacy-preserving data analytics,
but implementing it in realworld datasets and systems remains challenging. Recently …