Large language models for software engineering: A systematic literature review
Large Language Models (LLMs) have significantly impacted numerous domains, notably
including Software Engineering (SE). Nevertheless, a well-rounded understanding of the …
including Software Engineering (SE). Nevertheless, a well-rounded understanding of the …
Software testing with large language models: Survey, landscape, and vision
Pre-trained large language models (LLMs) have recently emerged as a breakthrough
technology in natural language processing and artificial intelligence, with the ability to …
technology in natural language processing and artificial intelligence, with the ability to …
Codamosa: Escaping coverage plateaus in test generation with pre-trained large language models
Search-based software testing (SBST) generates high-coverage test cases for programs
under test with a combination of test case generation and mutation. SBST's performance …
under test with a combination of test case generation and mutation. SBST's performance …
An empirical evaluation of using large language models for automated unit test generation
Unit tests play a key role in ensuring the correctness of software. However, manually
creating unit tests is a laborious task, motivating the need for automation. Large Language …
creating unit tests is a laborious task, motivating the need for automation. Large Language …
Retrieval-based prompt selection for code-related few-shot learning
Large language models trained on massive code corpora can generalize to new tasks
without the need for task-specific fine-tuning. In few-shot learning, these models take as …
without the need for task-specific fine-tuning. In few-shot learning, these models take as …
A survey of learning-based automated program repair
Automated program repair (APR) aims to fix software bugs automatically and plays a crucial
role in software development and maintenance. With the recent advances in deep learning …
role in software development and maintenance. With the recent advances in deep learning …
Gamma: Revisiting template-based automated program repair via mask prediction
Automated program repair (APR) aims to fix software bugs without manual debugging efforts
and plays a crucial role in software development and maintenance. Template-based APR …
and plays a crucial role in software development and maintenance. Template-based APR …
Make llm a testing expert: Bringing human-like interaction to mobile gui testing via functionality-aware decisions
Automated Graphical User Interface (GUI) testing plays a crucial role in ensuring app quality,
especially as mobile applications have become an integral part of our daily lives. Despite …
especially as mobile applications have become an integral part of our daily lives. Despite …
Large language models are few-shot summarizers: Multi-intent comment generation via in-context learning
Code comment generation aims at generating natural language descriptions for a code
snippet to facilitate developers' program comprehension activities. Despite being studied for …
snippet to facilitate developers' program comprehension activities. Despite being studied for …
A survey on large language models for software engineering
Software Engineering (SE) is the systematic design, development, and maintenance of
software applications, underpinning the digital infrastructure of our modern mainworld. Very …
software applications, underpinning the digital infrastructure of our modern mainworld. Very …