.png){kind=icon}
返回
Natural Language Processing-Based Software Testing: A Systematic Literature Review
.png){kind=icon}
OA
AI
DOI：10.1109/ACCESS.2024.3407753.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
New approaches to software testing are required due to the rising complexity of today's software applications and the rapid growth of software engineering practices. Among these methods, one that has shown promise is the introduction of Natural Language Processing (NLP) tools to software testing practices. NLP has witnessed a rise in popularity within all IT fields, especially in software engineering, where its use has improved the way we extract information from textual data. The goal of this systematic literature review (SLR) is to provide an in-depth analysis of the present body of the literature on the expanding subject of NLP-based software testing. Through a repeatable process, that takes into account the quality of the research, we examined 24 papers extracted from Web of Science and Scopus databases to extract insights about the usage of NLP techniques in the field of software testing. Requirements analysis and test case generation popped up as the most hot topics in the field. We also explored NLP techniques, software testing types, machine/deep learning algorithms, and NLP tools and frameworks used in the studied body of literature. This study also stressed some recurrent open challenges that need further work in future research such as the generalization of the NLP algorithm across domains and languages and the ambiguity in the natural language requirements. Software testing professionals and researchers can get important insights from the findings of this SLR, which will help them comprehend the advantages and challenges of using NLP in software testing.
Keyword:
Software testing
Reviews
Natural language processing
Systematics
Software algorithms
Bibliographies
Test pattern generators
natural language processing (NLP)
systematic review
test case generation
期刊
IF:
3.6
论文数:
9.8W
被引数:
29.4W
机构
引用论文
Automatic Generation of Acceptance Test Cases From Use Case Specifications: An NLP-Based Approach
OAAI
OAAI分享收藏分享收藏An introduction to Deep Learning in Natural Language Processing: Models, techniques, and tools自然语言处理中的深度学习: 模型、技术和工具.png)
NEUROCOMPUTING
NEUROCOMPUTINGIF6.5
PREAI
分享收藏Advanced Crowdsourced Test Report Prioritization Based on Adaptive Strategy基于自适应策略的高级众包测试报告优先级排序IEEE ACCESSOAAI
IEEE ACCESSIF3.6
OAAI分享收藏Automatically Tagging the AAA Pattern in Unit Test Cases Using Machine Learning Models使用机器学习模型在单元测试用例中自动标记AAA模式
PREAI
分享收藏Subcellular Localization of Isocitrate Lyase in Nongreen Tissue Culture Cells异柠檬酸裂解酶在非绿色组织培养细胞中的亚细胞定位OAAI
OAAI分享收藏
查看更多内容