Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Compiler error messages considered unhelpful: The landscape of text-based programming error message research
Diagnostic messages generated by compilers and interpreters such as syntax error
messages have been researched for over half of a century. Unfortunately, these messages …
messages have been researched for over half of a century. Unfortunately, these messages …
The effectiveness of supervised machine learning algorithms in predicting software refactoring
Refactoring is the process of changing the internal structure of software to improve its quality
without modifying its external behavior. Empirical studies have repeatedly shown that …
without modifying its external behavior. Empirical studies have repeatedly shown that …
Unifying the perspectives of nlp and software engineering: A survey on language models for code
Z Zhang, C Chen, B Liu, C Liao, Z Gong, H Yu… - arxiv preprint arxiv …, 2023 - arxiv.org
In this work we systematically review the recent advancements in software engineering with
language models, covering 70+ models, 40+ evaluation tasks, 180+ datasets, and 900 …
language models, covering 70+ models, 40+ evaluation tasks, 180+ datasets, and 900 …
A new era in software security: Towards self-healing software via large language models and formal verification
This paper introduces an innovative approach that combines Large Language Models
(LLMs) with Formal Verification strategies for automatic software vulnerability repair. Initially …
(LLMs) with Formal Verification strategies for automatic software vulnerability repair. Initially …
Modern code review: a case study at google
Employing lightweight, tool-based code review of code changes (aka modern code review)
has become the norm for a wide variety of open-source and industrial systems. In this paper …
has become the norm for a wide variety of open-source and industrial systems. In this paper …
[PDF][PDF] Hoppity: Learning graph transformations to detect and fix bugs in programs
We present a learning-based approach to detect and fix a broad range of bugs in Javascript
programs. We frame the problem in terms of learning a sequence of graph transformations …
programs. We frame the problem in terms of learning a sequence of graph transformations …
Lessons from building static analysis tools at google
Lessons from building static analysis tools at Google Page 1 58 COMMUNICATIONS OF THE
ACM | APRIL 2018 | VOL. 61 | NO. 4 Lessons from Building Static Analysis Tools at Google …
ACM | APRIL 2018 | VOL. 61 | NO. 4 Lessons from Building Static Analysis Tools at Google …
How often do single-statement bugs occur? the manysstubs4j dataset
Program repair is an important but difficult software engineering problem. One way to
achieve acceptable performance is to focus on classes of simple bugs, such as bugs with …
achieve acceptable performance is to focus on classes of simple bugs, such as bugs with …
What developers want and need from program analysis: an empirical study
Program Analysis has been a rich and fruitful field of research for many decades, and
countless high quality program analysis tools have been produced by academia. Though …
countless high quality program analysis tools have been produced by academia. Though …
How developers engage with static analysis tools in different contexts
Automatic static analysis tools (ASATs) are instruments that support code quality
assessment by automatically detecting defects and design issues. Despite their popularity …
assessment by automatically detecting defects and design issues. Despite their popularity …