Defect Analysis and Prediction by Applying the Multistage Software Reliability Growth Model

被引：13

作者：

Chi, Jieming ^{[1
]}

Honda, Kiyoshi ^{[1
]}

Washizaki, Hironori ^{[1
]}

Fukazawa, Yoshiaki ^{[1
]}

Munakata, Kazuki ^{[2
]}

Morita, Sumie ^{[2
]}

Uehara, Tadahiro ^{[2
]}

Yamamoto, Rieko ^{[2
]}

机构：

[1] Waseda Univ, Shijuku Ku, 3-4-1 Ohkubo, Tokyo, Japan

[2] Fujitsu Labs Ltd, Nakahara Ku, 4-1-1 Kamikodanaka, Kawasaki, Kanagawa 2118588, Japan

来源：

2017 8TH IEEE INTERNATIONAL WORKSHOP ON EMPIRICAL SOFTWARE ENGINEERING IN PRACTICE (IWESEP) | 2017年

关键词：

Software Reliability; Growth Model; Multistage Models;

D O I：

10.1109/IWESEP.2017.16

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

In software development, defects are inevitable. To improve reliability, software reliability growth models are useful to analyze projects. Selecting an expedient model can also help with defect predictions, but the model must be well fitted to all the original data. A particular software reliability growth model may not fit all the data well. To overcome this issue, herein we use multistage modeling to fit defect data. In the multistage model, an evaluation is used to divide the data into several parts. Each part is fitted with its own growth model, and the separate models are recombined. As a case study, projects provided by a Japanese enterprise are analyzed by both traditional software reliability growth models and the multistage model. The multistage model has a better performance for data with a poor fit using a traditional software reliability growth model.

引用

页码：7 / 11

页数：5

共 50 条

[21] A Generalized Logistic Software Reliability Growth Model
Hoang Pham
OPSEARCH, 2005, 42 (4) : 322 - 331
[22] A Comprehensive Fault Prediction Model for Improving Software Reliability
Raghuvanshi, Kamlesh Kumar
Agarwal, Arun
Jain, Khushboo
Singh, Amit Kumar
INTERNATIONAL JOURNAL OF SOFTWARE INNOVATION, 2022, 10 (01)
[23] SOFTWARE RELIABILITY PREDICTION MODEL USING RAYLEIGH FUNCTION
Vladu, Ana Maria
UNIVERSITY POLITEHNICA OF BUCHAREST SCIENTIFIC BULLETIN SERIES C-ELECTRICAL ENGINEERING AND COMPUTER SCIENCE, 2011, 73 (04): : 55 - 64
[24] A study of the exponential smoothing technique in software reliability growth prediction
Xie, M
Hong, GY
Wohlin, C
QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL, 1997, 13 (06) : 347 - 353
[25] Software reliability prediction and analysis during operational use
Huang, CY
Lin, CT
Sue, CC
ITRE 2005: 3RD INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY: RESEARCH AND EDUCATION, PROCEEDINGS, 2005, : 317 - 321
[26] An Empirical Study on Software Defect Prediction Using CodeBERT Model
Pan, Cong
Lu, Minyan
Xu, Biao
APPLIED SCIENCES-BASEL, 2021, 11 (11):
[27] A Multistage Sequential Test Allocation for Software Reliability Estimation
Rekab, Kamel
Thompson, Herbert
Wu, Wei
IEEE TRANSACTIONS ON RELIABILITY, 2013, 62 (02) : 424 - 433
[28] A Software Reliability Growth Model with Two Types of Learning
Iqbal, Javaid
Ahmad, N.
2013 INTERNATIONAL CONFERENCE ON MACHINE INTELLIGENCE AND RESEARCH ADVANCEMENT (ICMIRA 2013), 2013, : 498 - 503
[29] A software reliability growth model for a distributed development environment
Yamada, S
Tamura, Y
Kimura, M
ELECTRONICS AND COMMUNICATIONS IN JAPAN PART III-FUNDAMENTAL ELECTRONIC SCIENCE, 2000, 83 (12): : 1 - 8
[30] A NONPARAMETRIC SOFTWARE-RELIABILITY GROWTH-MODEL
SOFER, A
MILLER, DR
IEEE TRANSACTIONS ON RELIABILITY, 1991, 40 (03) : 329 - 337

← 1 2 3 4 5 →