Automatic Test Generation on the Basis of a Semantic Network

被引：0
|
作者：
Dolgova, Elena [1 ]
Eriskina, E., V [1 ]
Faizrakhmanov, Rustam [1 ]
Kasyanova, E. A. [1 ]
Kurushin, D. S. [1 ]
Nesterova, N. M. [1 ]
Soboleva, O., V [1 ]
机构：
[1] State Natl Res Politech Univ, Komsomolsky Av 29, Perm 614000, Russia
来源：
DIGITAL SCIENCE | 2019年 / 850卷
关键词：
Test generation; Automatic test generation; Natural-language text; Domain model; Denotative graph; Generation of test templates; Trees AND/OR; n-grams; Associative links; !text type='Python']Python[!/text; Pymystem; Rutermextract;
D O I：
10.1007/978-3-030-02351-5_20
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The paper is devoted to the problem of automatic generating of tests based on the natural language texts. The methods of generating natural language questions are considered. The domain model presented in the form of a denotatum graph and the experiments verifying the model are described. The program algorithm for generating tests based on the texts in natural language and pseudocode are given. The analysis of the results of this program and the main shortcomings are demonstrated. The algorithm of the program "finalization" using n-grams and the search of associative connections and its pseudocode are shown. The test generated as a result of the algorithm usage is presented.
引用
收藏
页码：159 / 165
页数：7
相关论文
共 50 条
  • [21] Automatic Parameterized Generation of Test
    Gangur, Mikulas
    DIVAI 2014: 10TH INTERNATIONAL SCIENTIFIC CONFERENCE ON DISTANCE LEARNING IN APPLIED INFORMATICS, 2014, : 55 - 64
  • [22] Automatic fuzzy ontology generation for Semantic Web
    Tho, QT
    Hui, SC
    Fong, ACM
    Cao, TH
    IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2006, 18 (06) : 842 - 856
  • [23] Automatic Generation of Semantic Icon Encodings for Visualizations
    Setlur, Vidya
    Mackinlay, Jock D.
    32ND ANNUAL ACM CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS (CHI 2014), 2014, : 541 - 550
  • [24] Automatic generation of ontology for Scholarly Semantic Web
    Quan, TT
    Hui, SC
    Fong, ACM
    Cao, TH
    SEMANTIC WEB - ISWC 2004, PROCEEDINGS, 2004, 3298 : 726 - 740
  • [25] Semantic summary automatic generation in news event
    Liu, Weidong
    Luo, Xiangfeng
    Zhang, Jun
    Xue, Ruirong
    Xu, Richard Yi Da
    CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, 2017, 29 (24):
  • [26] Automatic generation of metadata: contribution to a semantic web
    Hora Gomes Ferreira, Eveline Cruz
    Kofuji, Sergio Takeo
    ACTAS DA 1A CONFERENCIA IBERICA DE SISTEMAS E TECNOLOGIAS DE INFORMACAO, VOL II, 2006, : 233 - 248
  • [27] Semantic Repository for Automatic Deep Learning Generation
    Paik, Incheon
    16TH IEEE INTERNATIONAL CONFERENCE ON SEMANTIC COMPUTING (ICSC 2022), 2022, : 167 - 170
  • [28] Automatic Generation of Test Cases Based on Genetic Algorithm and RBF Neural Network
    Liu, Zhenpeng
    Yang, Xianwei
    Zhang, Shichen
    Liu, Yi
    Zhao, Yonggang
    Zheng, Weihua
    MOBILE INFORMATION SYSTEMS, 2022, 2022
  • [29] Idea generation with Technology Semantic Network
    Sarica, Serhad
    Song, Binyang
    Luo, Jianxi
    Wood, Kristin L.
    AI EDAM-ARTIFICIAL INTELLIGENCE FOR ENGINEERING DESIGN ANALYSIS AND MANUFACTURING, 2021, 35 (03): : 265 - 283
  • [30] Automatic software test case generation
    Department of Computer Engineering, Alzahra University of Tehran, Vanak St., Tehran, Iran
    不详
    J. Softw. Eng., 3 (91-101):
12345