Zobrazeno 1 - 10
of 220
pro vyhledávání: '"BISSYANDÉ, TEGAWENDÉ F."'
Static analysis is sound in theory, but an implementation may unsoundly fail to analyze all of a program's code. Any such omission is a serious threat to the validity of the tool's output. Our work is the first to measure the prevalence of these omis
Externí odkaz:
http://arxiv.org/abs/2407.07804
Autor:
Chen, Daihang, Liu, Yonghui, Zhou, Mingyi, Zhao, Yanjie, Wang, Haoyu, Wang, Shuai, Chen, Xiao, Bissyandé, Tegawendé F., Klein, Jacques, Li, Li
When mobile meets LLMs, mobile app users deserve to have more intelligent usage experiences. For this to happen, we argue that there is a strong need to appl LLMs for the mobile ecosystem. We therefore provide a research roadmap for guiding our fello
Externí odkaz:
http://arxiv.org/abs/2407.06573
Autor:
Ouédraogo, Wendkûuni C., Kaboré, Kader, Tian, Haoye, Song, Yewei, Koyuncu, Anil, Klein, Jacques, Lo, David, Bissyandé, Tegawendé F.
Unit testing, crucial for identifying bugs in code modules like classes and methods, is often neglected by developers due to time constraints. Automated test generation techniques have emerged to address this, but often lack readability and require d
Externí odkaz:
http://arxiv.org/abs/2407.00225
Autor:
Yang, Boyang, Tian, Haoye, Pian, Weiguo, Yu, Haoran, Wang, Haitao, Klein, Jacques, Bissyandé, Tegawendé F., Jin, Shunfu
Program repair techniques offer cost-saving benefits for debugging within software development and programming education scenarios. With the proven effectiveness of Large Language Models (LLMs) in code-related tasks, researchers have explored their p
Externí odkaz:
http://arxiv.org/abs/2406.13972
Autor:
Yang, Boyang, Tian, Haoye, Ren, Jiadong, Zhang, Hongyu, Klein, Jacques, Bissyandé, Tegawendé F., Goues, Claire Le, Jin, Shunfu
Large language models (LLMs) have demonstrated remarkable capabilities on a broad spectrum of downstream tasks. Within the realm of software engineering, specialized tasks on code, such as program repair, present unique challenges, necessitating fine
Externí odkaz:
http://arxiv.org/abs/2404.12636
This paper revisits recent code similarity evaluation metrics, particularly focusing on the application of Abstract Syntax Tree (AST) editing distance in diverse programming languages. In particular, we explore the usefulness of these metrics and com
Externí odkaz:
http://arxiv.org/abs/2404.08817
Autor:
Philippy, Fred, Guo, Siwen, Haddadan, Shohreh, Lothritz, Cedric, Klein, Jacques, Bissyandé, Tegawendé F.
Soft Prompt Tuning (SPT) is a parameter-efficient method for adapting pre-trained language models (PLMs) to specific tasks by inserting learnable embeddings, or soft prompts, at the input layer of the PLM, without modifying its parameters. This paper
Externí odkaz:
http://arxiv.org/abs/2402.03782
Autor:
Tang, Daniel, Kim, Kisub, Song, Yewei, Lothritz, Cedric, Li, Bei, Ezzini, Saad, Tian, Haoye, Klein, Jacques, Bissyande, Tegawende F.
Code review, which aims at ensuring the overall quality and reliability of software, is a cornerstone of software development. Unfortunately, while crucial, Code review is a labor-intensive process that the research community is looking to automate.
Externí odkaz:
http://arxiv.org/abs/2402.02172
Autor:
Ouédraogo, Wendkûuni C., Plein, Laura, Kaboré, Kader, Habib, Andrew, Klein, Jacques, Lo, David, Bissyandé, Tegawendé F.
The quality of a software is highly dependent on the quality of the tests it is submitted to. Writing tests for bug detection is thus essential. However, it is time-consuming when done manually. Automating test cases generation has therefore been an
Externí odkaz:
http://arxiv.org/abs/2312.14898
Autor:
Li, Li, Gao, Xiang, Sun, Hailong, Hu, Chunming, Sun, Xiaoyu, Wang, Haoyu, Cai, Haipeng, Su, Ting, Luo, Xiapu, Bissyandé, Tegawendé F., Klein, Jacques, Grundy, John, Xie, Tao, Chen, Haibo, Wang, Huaimin
Mobile software engineering has been a hot research topic for decades. Our fellow researchers have proposed various approaches (with over 7,000 publications for Android alone) in this field that essentially contributed to the great success of the cur
Externí odkaz:
http://arxiv.org/abs/2311.01311