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20202023
most citedLarge Language Models for Software Engineering: A Systematic Literature Review

119 citations · 134 across the 8 of their papers we have counts for

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5 papers · 1 filter

cs.SE2023★ 119 cited

Large Language Models for Software Engineering: A Systematic Literature Review

Xinyi Hou, Yanjie Zhao, Yue Liu +7

Large Language Models (LLMs) have significantly impacted numerous domains, including Software Engineering (SE). Many recent publications have explored LLMs applied to various SE ta…

cs.SE2023★ 3 cited

Characterizing and Detecting WebAssembly Runtime Bugs

Yixuan Zhang, Shangtong Cao, Haoyu Wang +6

WebAssembly (abbreviated WASM) has emerged as a promising language of the Web and also been used for a wide spectrum of software applications such as mobile applications and deskto…

cs.SE2021★ 2 cited

Rise of Distributed Deep Learning Training in the Big Model Era: From a Software Engineering Perspective

Xuanzhe Liu, Diandian Gu, Zhenpeng Chen +5

Deep learning (DL) has become a key component of modern software. In the "big model" era, the rich features of DL-based software substantially rely on powerful DL models, e.g., BER…

cs.SE2021★ 2 cited

A Systematic Assessment on Android Third-party Library Detection Tools

Xian Zhan, Tianming Liu, Yepang Liu +4

Third-party libraries (TPLs) have become a significant part of the Android ecosystem. Developers can employ various TPLs to facilitate their app development. Unfortunately, the pop…

cs.SE2020

A3Ident: A Two-phased Approach to Identify the Leading Authors of Android Apps

Wei Wang, Guozhu Meng, Haoyu Wang +3

Authorship identification is the process of identifying and classifying authors through given codes. Authorship identification can be used in a wide range of software domains, e.g.…