Defect Prediction in Software Using Predictive Models Based on Historical Data

被引：1
|
作者：
Czyczyn-Egird, Daniel [1 ]
Slowik, Adam [1 ]
机构：
[1] Koszalin Univ Technol, Dept Elect & Comp Sci, Sniadeckich 2 St, PL-75453 Koszalin, Poland
来源：
DISTRIBUTED COMPUTING AND ARTIFICIAL INTELLIGENCE | 2019年 / 801卷
关键词：
Data mining in software; Defect prediction models; Software metrics;
D O I：
10.1007/978-3-319-99608-0_11
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Nowadays, there are many methods and good practices in software engineering that aim to provide high quality software. However, despite the efforts of software developers, there are often defects in projects, the removal of which is often associated with a large financial effort and time. The article presents an example approach to defect prediction in IT projects based on prediction models built on historical information and product metrics collected from various data repositories.
引用
收藏
页码：94 / 101
页数：8
相关论文
共 50 条
  • [21] Software Defect Prediction using Tree-Based Ensembles
    Aljamaan, Hamoud
    Alazba, Amal
    PROCEEDINGS OF THE 16TH ACM INTERNATIONAL CONFERENCE ON PREDICTIVE MODELS AND DATA ANALYTICS IN SOFTWARE ENGINEERING, PROMISE 2020, 2020, : 1 - 10
  • [22] A Procedure to Continuously Evaluate Predictive Performance of Just-In-Time Software Defect Prediction Models During Software Development
    Song, Liyan
    Minku, Leandro L.
    IEEE TRANSACTIONS ON SOFTWARE ENGINEERING, 2023, 49 (02) : 646 - 666
  • [23] Enhancing software defect prediction models using metaheuristics with a learning to rank approach
    Aryan Boloori
    Azadeh Zamanifar
    Amirfarhad Farhadi
    Discover Data, 2 (1):
  • [24] Using neural network models in the quality management system for the software defect prediction
    Danilov, A. D.
    Samotsvet, D. A.
    Mugatina, V. M.
    INTERNATIONAL WORKSHOP ADVANCED TECHNOLOGIES IN MATERIAL SCIENCE, MECHANICAL AND AUTOMATION ENGINEERING - MIP: ENGINEERING - 2019, 2019, 537
  • [25] Software Defect Prediction Using Software Metrics - A survey
    Punitha, K.
    Chitra, S.
    2013 INTERNATIONAL CONFERENCE ON INFORMATION COMMUNICATION AND EMBEDDED SYSTEMS (ICICES), 2013, : 555 - 558
  • [26] Evaluating the Impact of Data Transformation Techniques on the Performance and Interpretability of Software Defect Prediction Models
    Zhao, Yu
    Huang, Zhiqiu
    Gong, Lina
    Zhu, Yi
    Yu, Qiao
    Gao, Yuxiang
    IET SOFTWARE, 2023, 2023 (01)
  • [27] Software Defect Prediction and Localization with Attention-Based Models and Ensemble Learning
    Zhang, Tianhang
    Du, Qingfeng
    Xu, Jincheng
    Li, Jiechu
    Li, Xiaojun
    2020 27TH ASIA-PACIFIC SOFTWARE ENGINEERING CONFERENCE (APSEC 2020), 2020, : 81 - 90
  • [28] Defect prediction of radar system software based on bug repositories and behavior models
    Liu X.
    Zhao Z.
    Li H.
    Liu C.
    Wang S.
    International Journal of Performability Engineering, 2020, 16 (02): : 284 - 296
  • [29] Impact of Feature Selection Methods on the Predictive Performance of Software Defect Prediction Models: An Extensive Empirical Study
    Balogun, Abdullateef O.
    Basri, Shuib
    Mahamad, Saipunidzam
    Abdulkadir, Said J.
    Almomani, Malek A.
    Adeyemo, Victor E.
    Al-Tashi, Qasem
    Mojeed, Hammed A.
    Imam, Abdullahi A.
    Bajeh, Amos O.
    SYMMETRY-BASEL, 2020, 12 (07):
  • [30] A new data mining-based framework to test case prioritization using software defect prediction
    Alsukhni E.
    Saifan A.A.
    Alawneh H.
    2017, IGI Global (08) : 21 - 41
12345