Ruiyin Li

FasterPy: An LLM-based Code Execution Efficiency Optimization Framework

Yue Wu, Minghao Han, Ruiyin Li, Peng Liang et autres

Code often suffers from performance bugs. These bugs necessitate the research and practice of code optimization. Traditional rule-based methods rely on manually designing and maintaining rules for specific performance bugs (e.g., redundant loops, repeated computations), making them labor-intensive and limited in applicability. …

FasterPy: An LLM-based Code Execution Efficiency Optimization Framework

Yue Wu, Minghao Han, Ruiyin Li, Peng Liang et autres

Code often suffers from performance bugs. These bugs necessitate the research and practice of code optimization. Traditional rule-based methods rely on manually designing and maintaining rules for specific performance bugs (e.g., redundant loops, repeated computations), making them labor-intensive and limited in applicability. …

us, cn, nz, mk, au (code pays fourni par la source)

Using LLMs in Generating Design Rationale for Software Architecture Decisions

Xiyu Zhou, Ruiyin Li, Peng Liang, Beiqi Zhang et autres

Design Rationale (DR) for software architecture decisions refers to the reasoning underlying architectural choices, which provides valuable insights into the different phases of the architecting process throughout software development. However, in practice, DR is often inadequately documented due to a lack of …

cn, au (code pays fourni par la source)

Designing LLM-based Multi-Agent Systems for Software Engineering Tasks: Quality Attributes, Design Patterns and Rationale

Yangxiao Cai, Ruiyin Li, Peng Liang, Mojtaba Shahin et autres

As the complexity of Software Engineering (SE) tasks continues to escalate, Multi-Agent Systems (MASs) have emerged as a focal point of research and practice due to their autonomy and scalability. Furthermore, through leveraging the reasoning and planning capabilities of Large Language Models …

Decision Models for Selecting Architecture Patterns and Strategies in Quantum Software Systems

Mst Shamima Aktar, Peng Liang, Muhammad Waseem, Amjed Tahir et autres

Quantum software is an emerging class of software systems, services, and applications that leverage the principles of quantum mechanics through programmable quantum bits (qubits) and quantum gates to perform computations that offer advantages for certain classes of problems. Quantum software architecture enables …

Knowledge-Based Multi-Agent Framework for Automated Software Architecture Design

Yiran Zhang, Ruiyin Li, Peng Liang, Weisong Sun et autres

Architecture design is a critical step in software development. However, creating a high-quality architecture is often costly due to the significant need for human expertise and manual effort. Recently, agents built upon Large Language Models (LLMs) have achieved remarkable success in various …

sg, cn (code pays fourni par la source)

Unveiling the Role of ChatGPT in Software Development: Insights from Developer-ChatGPT Interactions on GitHub

Ruiyin Li, Peng Liang, Yifei Wang, Yangxiao Cai et autres

The advent of Large Language Models (LLMs) has introduced a new paradigm in Software Engineering (SE), with generative AI tools like ChatGPT gaining widespread adoption among developers. While ChatGPT's potential has been extensively discussed, empirical evidence about how developers actually use LLMs' …

Using LLMs in Generating Design Rationale for Software Architecture Decisions

Xiyu Zhou, Ruiyin Li, Peng Liang, Beiqi Zhang et autres

Design Rationale (DR) for software architecture decisions refers to the reasoning underlying architectural choices, which provides valuable insights into the different phases of the architecting process throughout software development. However, in practice, DR is often inadequately documented due to a lack of …

Knowledge-Based Multi-Agent Framework for Automated Software Architecture Design

Yiran Zhang, Ruiyin Li, Peng Liang, Weisong Sun et autres

Architecture design is a critical step in software development. However, creating a high-quality architecture is often costly due to the significant need for human expertise and manual effort. Recently, agents built upon Large Language Models (LLMs) have achieved remarkable success in various …

Understanding, Analysis, and Handling of Software Architecture Erosion

Ruiyin Li

Architecture erosion reflects the tendency of an implemented architecture of a software system to gradually diverge from the intended architecture.Empirical evidence from numerous studies has demonstrated that architecture erosion significantly impacts various aspects of software development, maintenance, and evolution.This is because, architecture …

Warnings: Violation symptoms indicating architecture erosion

Ruiyin Li, Peng Liang, Paris Avgeriou

Context: As a software system evolves, its architecture tends to degrade, and gradually impedes software maintenance and evolution activities and negatively impacts the quality attributes of the system. The main root cause behind architecture erosion phenomenon derives from violation symptoms (i.e., various …

nl, cn (code pays fourni par la source)

Towards Automated Identification of Violation Symptoms of Architecture Erosion

Ruiyin Li, Peng Liang, Paris Avgeriou

Architecture erosion harms software maintenance when implementation deviates from intended architecture. Early detection of violation symptoms is essential, and code review comments provide a promising textual source for automated identification. This paper investigates automatic detection of architecture violation symptoms from code reviews …