A learning approach to early bug prediction in deployed software

被引：0
|
作者：
Parsa, Saeed [1 ]
Arabi, Somaye [1 ]
Vahidi-Asl, Mojtaba [1 ]
机构：
[1] Iran Univ Sci & Technol, Tehran, Iran
来源：
ARTIFICIAL INTELLIGENCE: METHODOLOGY, SYSTEMS, AND APPLICATIONS | 2008年 / 5253卷
关键词：
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：
In this paper the use of Support Vector Machines to build programs behavioral models predicting misbehaviors while executing the programs, is described. Misbehaviors can be detected more precisely if the model is built considering both the failing and passing runs. It is desirable to create a model which even after fixing the detected bugs is still applicable. To achieve this, the use of a bug seeding technique to test all different execution paths of the program in both failing and passing executions is suggested. Our experiments with a test suite, EXIF, demonstrate the applicability of our proposed approach.
引用
收藏
页码：400 / 404
页数：5
相关论文
共 50 条
  • [1] Software Bug Prediction using Machine Learning Approach
    Hammouri, Awni
    Hammad, Mustafa
    Alnabhan, Mohammad
    Alsarayrah, Fatima
    INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS, 2018, 9 (02) : 78 - 83
  • [2] Early Bug Detection in Deployed Software Using Support Vector Machine
    Parsa, Saeed
    Nare, Somaye Arabi
    Vahidi-Asl, Mojtaba
    ADVANCES IN COMPUTER SCIENCE AND ENGINEERING, 2008, 6 : 518 - 525
  • [3] A Novel Machine Learning Approach For Bug Prediction
    Puranik, Shruthi
    Deshpande, Pranav
    Chandrasekaran, K.
    PROCEEDINGS OF THE 6TH INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTING AND COMMUNICATIONS, 2016, 93 : 924 - 930
  • [4] Comprehensive Study on Machine Learning Techniques for Software Bug Prediction
    Khleel, Nasraldeen Alnor Adam
    Nehez, Karoly
    INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS, 2021, 12 (08) : 726 - 735
  • [5] A Study on Machine Learning Applied to Software Bug Priority Prediction
    Malhotra, Ruchika
    Dabas, Ajay
    Hariharasudhan, A. S.
    Pant, Manish
    2021 11TH INTERNATIONAL CONFERENCE ON CLOUD COMPUTING, DATA SCIENCE & ENGINEERING (CONFLUENCE 2021), 2021, : 965 - 970
  • [6] Hyperparameter Optimization for Software Bug Prediction Using Ensemble Learning
    Al-Fraihat, Dimah
    Sharrab, Yousef
    Al-Ghuwairi, Abdel-Rahman
    Alshishani, Hamzeh
    Algarni, Abdulmohsen
    IEEE ACCESS, 2024, 12 : 51869 - 51878
  • [7] Comparison of Machine Learning Algorithms for Bug Prediction in Open Source Software
    Malhotra, Ruchika
    Bahl, Laavanye
    Sehgal, Sushant
    Priya, Pragati
    PROCEEDINGS OF THE 2017 INTERNATIONAL CONFERENCE ON BIG DATA ANALYTICS AND COMPUTATIONAL INTELLIGENCE (ICBDAC), 2017, : 40 - 45
  • [8] A Comprehensive Analysis of Machine Learning Methods for Bug Prediction in Software Development
    Ravikumar, Ch
    Kumar, Kotha Harish
    Sathish, Nandigama
    Suhasini, S.
    Nimmala, Satyanarayana
    PROCEEDINGS OF THE 5TH INTERNATIONAL CONFERENCE ON DATA SCIENCE, MACHINE LEARNING AND APPLICATIONS, VOL 1, ICDSMLA 2023, 2025, 1273 : 929 - 935
  • [9] Modeling Metaheuristic Optimization with Deep Learning Software Bug Prediction Model
    Sangeetha, M.
    Malathi, S.
    INTELLIGENT AUTOMATION AND SOFT COMPUTING, 2022, 34 (03): : 1587 - 1601
  • [10] An Approach to Early Prediction of Software Quality
    姚兰
    杨波
    JournalofElectronicScienceandTechnologyofChina, 2007, (01) : 23 - 28
12345