Muppala Sunny Chowdhary, R. Aishwarya, A. Abinay, Pasthupuram Harikrishna
{"title":"Comparing Machine-Learning Algorithms for Anticipating the Severity and Non-Severity of a Surveyed Bug","authors":"Muppala Sunny Chowdhary, R. Aishwarya, A. Abinay, Pasthupuram Harikrishna","doi":"10.1109/ICSTCEE49637.2020.9276756","DOIUrl":null,"url":null,"abstract":"Programming Bug announcing is a vital piece of the product advancement process. When a Bug is accounted for on the Bug detection, their qualities are broken down and along these lines relegated to different fixers for their goals. Bug severity, a characteristic of a product bug survey is the level of effect that imperfection has on the advancement or activity of a segment or framework. In this paper, an endeavour has been made to show the pertinence of AI calculations to be specific SVM, KNN, Naïve Bayes, Naïve Bayes Multinomial, J48 and RIPPER in order to find out which classification algorithm is accurate to find the bug severity. The pertinence of the calculation in deciding the different degrees of bug severity for bug storehouses have been approved utilizing different execution measures by applying 5-overlap cross-approval.","PeriodicalId":113845,"journal":{"name":"2020 International Conference on Smart Technologies in Computing, Electrical and Electronics (ICSTCEE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 International Conference on Smart Technologies in Computing, Electrical and Electronics (ICSTCEE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSTCEE49637.2020.9276756","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Programming Bug announcing is a vital piece of the product advancement process. When a Bug is accounted for on the Bug detection, their qualities are broken down and along these lines relegated to different fixers for their goals. Bug severity, a characteristic of a product bug survey is the level of effect that imperfection has on the advancement or activity of a segment or framework. In this paper, an endeavour has been made to show the pertinence of AI calculations to be specific SVM, KNN, Naïve Bayes, Naïve Bayes Multinomial, J48 and RIPPER in order to find out which classification algorithm is accurate to find the bug severity. The pertinence of the calculation in deciding the different degrees of bug severity for bug storehouses have been approved utilizing different execution measures by applying 5-overlap cross-approval.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
