Entropy based Bug Prediction using Neural Network based Regression

被引：0
|
作者：
Kaur, Arvinder [1 ]
Kaur, Kamaldeep [1 ]
Chopra, Deepti [1 ]
机构：
[1] Guru Gobind Singh Indraprastha Univ GGSIPU, USICT, New Delhi, India
来源：
2015 INTERNATIONAL CONFERENCE ON COMPUTING, COMMUNICATION & AUTOMATION (ICCCA) | 2015年
关键词：
Mining Software Repositories; Bug Prediction; Complexity of code change; Entropy; Neural Network based Regression; FAULTS;
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：
Bug Prediction is an important research area in the field of software engineering. Researchers have developed and implemented a number of bug prediction approaches like past bugs, code churn, refactoring, file size and number of authors, etc and measured their performance. Various mathematical models have also been proposed by researchers for monitoring the bug detection and correction process. The bugs are introduced in the software mainly because of the continuous changes that occur in the software code. These continuous changes tend to make the code complex. The complexity of code changes, quantified by Entropy is used to predict bugs. In previous research, Statistical Linear Regression is used to construct bug prediction model. In this paper a Neural Network model of entropy based bug prediction is developed and compared with SLR model. It is observed that Neural Network based Regression (NNR) performs either better than or nearly equal to SLR.
引用
收藏
页码：168 / 174
页数：7
相关论文
共 50 条
  • [1] Entropy based Bug Prediction using Support Vector Regression
    Singh, V. B.
    Chaturvedi, K. K.
    2012 12TH INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS DESIGN AND APPLICATIONS (ISDA), 2012, : 746 - 751
  • [2] PREDICTION BASED ON COPULA ENTROPY AND GENERAL REGRESSION NEURAL NETWORK
    Huang, C. Y.
    Zhang, Y. P.
    APPLIED ECOLOGY AND ENVIRONMENTAL RESEARCH, 2019, 17 (06): : 14415 - 14424
  • [3] Prediction of Abalone Age Using Regression-Based Neural Network
    Misman, Muhammad Faiz
    Samah, Azurah A.
    Ab Aziz, Nur Azni
    Majid, Hairudin Abdul
    Shah, Zuraini Ali
    Hashim, Haslina
    Harun, Muhamad Farhin
    2019 1ST INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND DATA SCIENCES (AIDAS2019), 2019, : 23 - 28
  • [4] Deep Neural Network-Based Severity Prediction of Bug Reports
    Ramay, Waheed Yousuf
    Umer, Qasim
    Yin, Xu Cheng
    Zhu, Chao
    Illahi, Inam
    IEEE ACCESS, 2019, 7 : 46846 - 46857
  • [5] Prediction of Water Table Based on General Regression Neural Network
    GUAN Shuai
    QIAN Cheng
    科技视界, 2017, (35) : 56 - 57
  • [6] Public Bicycle Prediction Based on Generalized Regression Neural Network
    Yang, Min
    Guang, Yingnan
    Zhang, Xuedan
    INTERNET OF VEHICLES - SAFE AND INTELLIGENT MOBILITY, IOV 2015, 2015, 9502 : 363 - 373
  • [7] Prediction of Complex Permittivity of Polar Liquids Using Regression Based Artificial Neural Network
    Thushara, H. P.
    Mridula, S.
    Pradeep, Anju
    Mohanan, P.
    PROCEEDINGS OF THE 2020 INTERNATIONAL SYMPOSIUM ON ANTENNAS AND PROPAGATION (APSYM), 2020, : 71 - 74
  • [8] A new approach for prediction of graphene based ISFET using regression tree and neural network
    Akbari, Elnaz
    Moradi, Rasoul
    Afroozeh, Abdolkarim
    Alizadeh, Azar
    Nilashi, Mehrbakhsh
    SUPERLATTICES AND MICROSTRUCTURES, 2019, 130 : 241 - 248
  • [9] Arrhythmias Prediction Using an Hybrid Model Based on Convolutional Neural Network and Nonlinear Regression
    Abdou, Abdoul-Dalibou
    Ngom, Ndeye Fatou
    Niang, Oumar
    INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE AND APPLICATIONS, 2020, 19 (03)
  • [10] An empirical study of software entropy based bug prediction using machine learning
    Kaur A.
    Kaur K.
    Chopra D.
    International Journal of System Assurance Engineering and Management, 2017, 8 (Suppl 2) : 599 - 616
12345