Software traceability establishes associations between diverse software artifacts such as requirements, design, code, and test cases. Due to the non-trivial costs of manually creating and maintaining links, many researchers have proposed automated approaches based on information retrieval techniques. However, many globally distributed software projects produce software artifacts written in two or more languages. The use of intermingled languages reduces the efficacy of automated tracing solutions. In this paper, we first analyze and discuss patterns of intermingled language use across multiple projects, and then evaluate several different tracing algorithms including the Vector Space Model (VSM), Latent Semantic Indexing (LSI), Latent Dirichlet Allocation (LDA), and various models that combine mono- and cross-lingual word embeddings with the Generative Vector Space Model (GVSM). Based on an analysis of 14 Chinese-English projects, our results show that best performance is achieved using mono-lingual word embeddings integrated into GVSM with machine translation as a preprocessing step.
LinkRank: A Learning-to-Rank Framework for One-to-Many Issue-Commit Traceability
The Alan Turing Institute（艾伦·图灵研究所）；Department of Computer Science & Engineering, Indian Institute of Technology（印度理工学院计算机科学与工程系）；Department of Computer Science, Ashoka University（阿肖卡大学计算机系）
Large Language Models for Requirements Engineering: A Cross-Task Empirical Evaluation
University of Limerick（利默里克大学）；Trinity College Dublin (TCD)（都柏林三一学院）；Consiglio Nazionale delle Ricerche (CNR)（意大利国家研究委员会）；University of Padova（帕多瓦大学）；The Open University（开放大学）
Natural Language-Programming Language Software Traceability Link Recovery Needs More than Textual Similarity
School of Computer Science and Artificial Intelligence, Wuhan Textile University（计算机科学与人工智能学院，武汉纺织大学）；School of Computer Science, Wuhan University（计算机科学学院，武汉大学）；The University of Melbourne（墨尔本大学）；The University of Western Australia（西澳大学）
MVD: A Multi-Lingual Software Vulnerability Detection Framework
TikTok；CREST - Centre for Research on Engineering Software Technologies（CREST——工程软件技术研究中心）；The University of Adelaide（阿德莱德大学）；Cyber Security Cooperative Research Centre（网络安全合作研究中心）
A Construction-Phase Digital Twin Framework for Quality Assurance and Decision Support in Civil Infrastructure Projects
Intertek PSI；Bangladesh University of Engineering and Technology（孟加拉国工程与技术大学）；Pabna University of Science and Technology（帕布纳科学与技术大学）；University of Texas at Arlington（阿灵顿德克萨斯大学）
