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Automatic Requirement Dependency Extraction Based on Integrated Active Learning Strategies

文献类型：期刊论文

作者Hui Guan1,2;  Guorong Cai1;  Hang Xu1
刊名Machine Intelligence Research
出版日期2024
卷号21期号:5页码:993-1010
关键词Requirement dependency dependency extraction dependency features integrated active learning strategies coefficient of variation
ISSN号2731-538X
DOI10.1007/s11633-023-1420-1
英文摘要Since requirement dependency extraction is a cognitively challenging and error-prone task, this paper proposes an automatic requirement dependency extraction method based on integrated active learning strategies. In this paper, the coefficient of variation method was used to determine the corresponding weight of the impact factors from three different angles: uncertainty probability, text similarity difference degree and active learning variant prediction divergence degree. By combining the three factors with the proposed calculation formula to measure the information value of dependency pairs, the top dependency pairs with the highest comprehensive evaluation value are selected as the optimal samples. As the optimal samples are continuously added into the initial training set, the performance of the active learning model using different dependency features for requirement dependency extraction is rapidly improved. Therefore, compared with other active learning strategies, a higher evaluation measure of requirement dependency extraction can be achieved by using the same number of samples. Finally, the proposed method using the PV-DM dependency feature improves the weight-F1 by 2.71%, the weight-recall by 2.45%, and the weight-precision by 2.64% in comparison with other strategies, saving approximately 46% of the labelled data compared with the machine learning approach.
源URL[http://ir.ia.ac.cn/handle/173211/59427]  
专题自动化研究所_学术期刊_International Journal of Automation and Computing
作者单位1.Department of Computer Science and Technology, Shenyang University of Chemical Technology, Shenyang 110142, China
2.Key Laboratory of Industrial Intelligence Technology on Chemical Process, Shenyang 110142, China
推荐引用方式
GB/T 7714		 Hui Guan, Guorong Cai, Hang Xu. Automatic Requirement Dependency Extraction Based on Integrated Active Learning Strategies[J]. Machine Intelligence Research,2024,21(5):993-1010.
APA Hui Guan, Guorong Cai,& Hang Xu.(2024).Automatic Requirement Dependency Extraction Based on Integrated Active Learning Strategies.Machine Intelligence Research,21(5),993-1010.
MLA Hui Guan,et al."Automatic Requirement Dependency Extraction Based on Integrated Active Learning Strategies".Machine Intelligence Research 21.5(2024):993-1010.

入库方式： OAI收割

来源：自动化研究所

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