User story-based automatic test case classification and prioritization using natural language processing-based deep learning

被引：0
|
作者：
Prabu A. [1 ]
A S.L. [1 ]
B A S. [1 ]
C A.K. [2 ]
机构：
[1] Amrita School of Computing, Amrita Vishwa Vidyapeetham, Coimbatore
[2] Amrita Vishwa Vidyapeetham University, Tamilnadu
来源：
IEEE Potentials | 2024年 / 43卷 / 05期
关键词：
Complexity theory; Deep learning; Predictive models; Reliability; Software; Software reliability; Testing;
D O I：
10.1109/MPOT.2023.3342366
中图分类号：
学科分类号：
摘要：
Software development starts with requirements engineering, which involves establishing and documenting requirements. In agile environments, requirements are collected in the form of user stories. User stories play a crucial role in capturing functional requirements from end users. Testing and prioritizing user stories are essential to ensure whether the software meets the desired functionalities based on specifications. However, with the increasing complexity of software systems, the manual classification and prioritization of test cases based on user stories have become time-consuming and error prone. IEEE
引用
收藏
页码：2 / 11
页数：9
相关论文
共 50 条
  • [1] Enabling Maritime Risk Assessment Using Natural Language Processing-based Deep Learning Techniques
    Jidkov, Vladislav
    Abielmona, Rami
    Teske, Alexander
    Petriu, Emil
    2020 IEEE SYMPOSIUM SERIES ON COMPUTATIONAL INTELLIGENCE (SSCI), 2020, : 2469 - 2476
  • [2] An Industrial Study of Natural Language Processing Based Test case Prioritization
    Yang, Yilin
    Huang, Xinhai
    Hao, Xuefei
    Liu, Zicong
    Chen, Zhenyu
    2017 10TH IEEE INTERNATIONAL CONFERENCE ON SOFTWARE TESTING, VERIFICATION AND VALIDATION (ICST), 2017, : 548 - 549
  • [3] A Natural Language Processing-Based Multimodal Deep Learning Approach for News Category Tagging
    Kumar, Bagesh
    Singh, Alankar
    Sharma, Vaidik
    Shivam, Yuvraj
    Mohan, Krishna
    Shukla, Prakhar
    Falor, Tanay
    Kumar, Abhishek
    COMPUTER VISION AND IMAGE PROCESSING, CVIP 2023, PT III, 2024, 2011 : 397 - 410
  • [4] Comparison of deep learning models for natural language processing-based classification of non-English head CT reports
    Yiftach Barash
    Gennadiy Guralnik
    Noam Tau
    Shelly Soffer
    Tal Levy
    Orit Shimon
    Eyal Zimlichman
    Eli Konen
    Eyal Klang
    Neuroradiology, 2020, 62 : 1247 - 1256
  • [5] Comparison of deep learning models for natural language processing-based classification of non-English head CT reports
    Barash, Yiftach
    Guralnik, Gennadiy
    Tau, Noam
    Soffer, Shelly
    Levy, Tal
    Shimon, Orit
    Zimlichman, Eyal
    Konen, Eli
    Klang, Eyal
    NEURORADIOLOGY, 2020, 62 (10) : 1247 - 1256
  • [6] A Natural Language Processing-based Model to Automate MRI Brain Protocol Selection and Prioritization
    Brown, Andrew D.
    Marotta, Thomas R.
    ACADEMIC RADIOLOGY, 2017, 24 (02) : 160 - 166
  • [7] Natural Language Processing-Based Deep Learning to Predict the Loss of Consciousness Event Using Emergency Department Text Records
    Park, Hang A.
    Jeon, Inyeop
    Shin, Seung-Ho
    Seo, Soo Young
    Lee, Jae Jun
    Kim, Chulho
    Park, Ju Ok
    APPLIED SCIENCES-BASEL, 2024, 14 (23):
  • [8] Deep learning for schizophrenia classification based on natural language processing -A pilot study
    Lin, Pei-Yun
    Chen, Ying-Hsuan
    Chang, Yuh-Jer
    Chen, Jia-Wei
    Ho, Tsung-Tse
    Shih, Tai-Chuan
    Ko, Chih-Hung
    Lai, Ying-Hui
    SCHIZOPHRENIA RESEARCH, 2024, 270 : 323 - 324
  • [9] TEXT CLASSIFICATION AND CLUSTER ANALYSIS BASED ON DEEP LEARNING AND NATURAL LANGUAGE PROCESSING
    HUANG H.U.A.
    Scalable Computing, 2024, 25 (03): : 1826 - 1832
  • [10] TEXT CLASSIFICATION AND CLUSTER ANALYSIS BASED ON DEEP LEARNING AND NATURAL LANGUAGE PROCESSING
    Huang, Hua
    SCALABLE COMPUTING-PRACTICE AND EXPERIENCE, 2024, 25 (03): : 1826 - 1832
12345