Analysis of Software Process Effectiveness Based on Orthogonal Defect Classification

被引:3
|
作者
Li Zhi-bo [1 ]
Hou Xue-mei [1 ]
Yu Lei [1 ]
Du Zhu-ping [1 ]
Xu Bing [1 ]
机构
[1] Natl Digital Switching Syst Engn & Technol R&D Ct, Zhengzhou 450000, Peoples R China
关键词
ODC(orthogonal defect classification); software process effectiveness; measure;
D O I
10.1016/j.proenv.2011.09.124
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Measuring the software process effectiveness is the premise to evaluate the quality of software, so it becomes the key of the problem to how to correctly quantify software process effectiveness. In this paper, orthogonal defect classification (ODC) technology is used in the entire process of software development. Analyzing software process effectiveness by ODC attribute measurement method, finally software process improvements can be given from the analysis. (C) 2011 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of Conference ESIAT2011 Organization Committee.
引用
收藏
页码:765 / 770
页数:6
相关论文
共 50 条
  • [21] Tumor classification based on orthogonal linear discriminant analysis
    Wang, Huiya
    Zhang, Shanwen
    BIO-MEDICAL MATERIALS AND ENGINEERING, 2014, 24 (01) : 1399 - 1405
  • [22] Understanding software defect detection in the personal software process
    Wohlin, C
    Wesslén, A
    NINTH INTERNATIONAL SYMPOSIUM ON SOFTWARE RELIABILITY ENGINEERING, PROCEEDINGS, 1998, : 49 - 58
  • [23] CMP process development based on rapid automatic defect classification
    Skumanich, A
    Cai, MP
    IN-LINE CHARACTERIZATION, YIELD RELIABILITY, AND FAILURE ANALYSES IN MICROELECTRONIC MANUFACTURING, 1999, 3743 : 76 - 88
  • [24] Research on ODC based Software Defect Analysis Model
    Si, Qianran
    Yan, Guoying
    Zhang, Huiying
    ADVANCED MATERIALS AND ENGINEERING MATERIALS, PTS 1 AND 2, 2012, 457-458 : 488 - +
  • [25] Improving defect removal effectiveness for software development
    Leung, HKN
    SECOND EUROMICRO CONFERENCE ON SOFTWARE MAINTENANCE AND REENGINEERING, PROCEEDINGS, 1998, : 157 - 164
  • [26] Leveraging an Enhanced CodeBERT-Based Model for Multiclass Software Defect Prediction via Defect Classification
    Hussain, Rida Ghafoor
    Yow, Kin-Choong
    Gori, Marco
    IEEE ACCESS, 2025, 13 : 24383 - 24397
  • [27] Multilabel classification for defect prediction in software engineering
    Pachouly, Jalaj
    Ahirrao, Swati
    Kotecha, Ketan
    Kulkarni, Ambarish
    Alfarhood, Sultan
    SCIENTIFIC REPORTS, 2025, 15 (01):
  • [28] A Software Defect Assessment Method with Classification Cost
    Xie L.
    Liu S.
    Yang H.
    Zhang L.
    Beijing Youdian Daxue Xuebao/Journal of Beijing University of Posts and Telecommunications, 2023, 46 (04): : 116 - 122
  • [29] Classification with reject option for software defect prediction
    Mesquita, Diego P. P.
    Rocha, Lincoln S.
    Gomes, Joao Paulo P.
    Rocha Neto, Ajalmar R.
    APPLIED SOFT COMPUTING, 2016, 49 : 1085 - 1093
  • [30] Software Defect Prediction Using Heterogeneous Ensemble Classification Based on Segmented Patterns
    Alsawalqah, Hamad
    Hijazi, Neveen
    Eshtay, Mohammed
    Faris, Hossam
    Al Radaideh, Ahmed
    Aljarah, Ibrahim
    Alshamaileh, Yazan
    APPLIED SCIENCES-BASEL, 2020, 10 (05):