Exploring Topic Models in Software Engineering Data Analysis: A Survey

被引：0
|
作者：
Sun, Xiaobing [1 ]
Liu, Xiangyue [1 ]
Li, Bin [1 ]
Duan, Yucong [2 ]
Yang, Hui [1 ]
Hu, Jiajun [1 ]
机构：
[1] Yangzhou Univ, Sch Informat Engn, Yangzhou, Jiangsu, Peoples R China
[2] Hainan Univ, Haikou, Peoples R China
来源：
2016 17TH IEEE/ACIS INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING, ARTIFICIAL INTELLIGENCE, NETWORKING AND PARALLEL/DISTRIBUTED COMPUTING (SNPD) | 2016年
关键词：
Software engineering; topic models; survey; INFORMATION-RETRIEVAL; FEATURE LOCATION;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Topic models are shown to be effective to mine unstructured software engineering (SE) data. In this paper, we give a simple survey of exploring topic models to support various SE tasks between 2003 and 2015. The survey results show that there is an increasing concern in this area. Among the SE tasks, source code comprehension and software history comprehension are the mostly studied, followed by software defects prediction. However, there is still only a few studies on other SE tasks, such as feature location and regression testing.
引用
收藏
页码：357 / 362
页数：6
相关论文
共 50 条
  • [21] Big Data Software Engineering: Analysis of Knowledge Domains and Skill Sets Using LDA-Based Topic Modeling
    Gurcan, Fatih
    Cagiltay, Nergiz Ercil
    IEEE ACCESS, 2019, 7 : 82541 - 82552
  • [22] SURVEY OF SOFTWARE ENGINEERING DATA USEDATA MINING-TECHNIQUES FOR ESTIMATION OF SOFTWARE DEFECTS
    Kishorekumar, CH.
    Durga, R.
    ADVANCES AND APPLICATIONS IN MATHEMATICAL SCIENCES, 2021, 20 (11): : 2693 - 2700
  • [23] How to Effectively Use Topic Models for Software Engineering Tasks? An Approach Based on Genetic Algorithms
    Panichella, Annibale
    Dit, Bogdan
    Oliveto, Rocco
    Di Penta, Massimilano
    Poshynanyk, Denys
    De Lucia, Andrea
    PROCEEDINGS OF THE 35TH INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING (ICSE 2013), 2013, : 522 - 531
  • [24] Simplification and Verification of Software and Data Structure Models in the Engineering Domain
    Igamberdiev, Muzaffar
    Grossmann, Georg
    Stumptner, Markus
    2015 24TH AUSTRALASIAN SOFTWARE ENGINEERING CONFERENCE (ASWEC 2015), 2015, : 138 - 147
  • [25] Bayesian analysis of empirical software engineering cost models
    Chulani, S
    Boehm, B
    Steece, B
    IEEE TRANSACTIONS ON SOFTWARE ENGINEERING, 1999, 25 (04) : 573 - 583
  • [26] Automated Quality Analysis of Software Engineering Method Models
    Fazal-Baqaie, Masud
    Kluthe, Frank
    PROCEEDINGS OF THE 4TH INTERNATIONAL CONFERENCE ON MODEL-DRIVEN ENGINEERING AND SOFTWARE DEVELOPMENT (MODELSWARD 2016), 2016, : 527 - 534
  • [27] Bayesian analysis of empirical software engineering cost models
    Cent for Software Engineering, San Jose, United States
    IEEE Trans Software Eng, 4 (573-583):
  • [28] Large language models for qualitative research in software engineering: exploring opportunities and challenges
    Bano, Muneera
    Hoda, Rashina
    Zowghi, Didar
    Treude, Christoph
    AUTOMATED SOFTWARE ENGINEERING, 2024, 31 (01)
  • [29] Large language models for qualitative research in software engineering: exploring opportunities and challenges
    Muneera Bano
    Rashina Hoda
    Didar Zowghi
    Christoph Treude
    Automated Software Engineering, 2024, 31
  • [30] A Survey of Topic Models in Text Classification
    Xia, Linzhong
    Luo, Dean
    Zhang, Chunxiao
    Wu, Zhou
    2019 2ND INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND BIG DATA (ICAIBD 2019), 2019, : 244 - 250
12345