A new risk evaluation method for software development project

被引:0
作者
Xu, Lin [1 ]
Deng, Mingrong
机构
[1] Zhejiang Univ Technol, Coll Business & Adm, Hangzhou, Zhejiang, Peoples R China
[2] Zhejiang Univ Technol, Coll Management, Hangzhou, Zhejiang, Peoples R China
来源
ISMOT'07: Proceedings of the Fifth International Symposium on Management of Technology, Vols 1 and 2: MANAGING TOTAL INNOVATION AND OPEN INNOVATION IN THE 21ST CENTURY | 2007年
关键词
software development project; risk; triangular fuzzy number; fuzzy comprehensive evaluation;
D O I
暂无
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
In the risk evaluation of software development project, it difficult to quantify risk of software development project accurately due to uncertainty and illegibility of software development risk. Consequently, we present a new method to evaluate the aggregative risks in software development using fuzzy set theory -group hierarchical fuzzy comprehensive evaluation method based on previous researches. This method introduces the triangular fuzzy number to represent experts' judgment information. The key to proposed method is: in view of different effect on cost, schedule. and performance, the loss on the three dimensions are assessed respectively. Based on the assessed values above, the aggregative loss value is obtained by fuzzy comprehensive evaluation method. This algorithm should make the assessment of loss more accurate. On the other hand, simple defuzzifcation algorithm is adopted to simplify complicated operations of triangular fuzzy number. Conclusions are as follows: group hierarchical fuzzy comprehensive evaluation method is valid and reflects the risk characteristics in implementing software development. The proposed method has the following advantages: (1) It combines subjective analysis with quantitative analysis effectively. (2) It takes into account effect on quality, cost, schedule and make information integrated. (3) It does not take a large amount of time to calculate.
引用
收藏
页码:874 / 878
页数:5
相关论文
共 50 条
  • [41] The method of risk evaluation for equipment development based on triangular fuzzy number and TOPSIS
    Zhou, Shao-qi
    Chang, Wen-bing
    Zhou, Sheng-han
    Liu, Wei
    26TH CHINESE CONTROL AND DECISION CONFERENCE (2014 CCDC), 2014, : 2272 - 2276
  • [42] How project description length and expected duration affect bidding and project success in crowdsourcing software development
    Gefen, David
    Gefen, Gavriel
    Carmel, Erran
    JOURNAL OF SYSTEMS AND SOFTWARE, 2016, 116 : 75 - 84
  • [43] The Fuzzy Comprehensive Evaluation by Matter-Element Model Apply in Project Risk Analysis
    Liu Hui
    EBM 2010: INTERNATIONAL CONFERENCE ON ENGINEERING AND BUSINESS MANAGEMENT, VOLS 1-8, 2010, : 1690 - 1693
  • [44] An Evaluation Model Of Software Trustworthiness Based On Fuzzy Comprehensive Evaluation Method
    Zhang, Yuejin
    Zhang, Yanmei
    Hai, Mo
    2012 INTERNATIONAL CONFERENCE ON INDUSTRIAL CONTROL AND ELECTRONICS ENGINEERING (ICICEE), 2012, : 616 - 619
  • [45] Risks and risk mitigation in global software development: An update
    Barros-Justo, Jose L.
    Benitti, Fabiane B., V
    Molleri, Jefferson S.
    JOURNAL OF SOFTWARE-EVOLUTION AND PROCESS, 2021, 33 (11)
  • [46] Research on the Evaluation Model of Bidding Risk in Engineering Project
    Liu, Bao-kun
    Wang, Peng
    MATERIALS SCIENCE AND INFORMATION TECHNOLOGY, PTS 1-8, 2012, 433-440 : 2244 - 2249
  • [47] Analysis and evaluation of the navigation risk of offshore wind project
    Guo, Y. B.
    Jiang, F. C.
    Zou, H. B.
    ENERGY SCIENCE AND APPLIED TECHNOLOGY, 2016, : 95 - 98
  • [48] The Risk Evaluation of Jiaohe Garbage Project in Jilin Province
    Zhang, Jiacheng
    TENTH WUHAN INTERNATIONAL CONFERENCE ON E-BUSINESS, VOLS I AND II, 2011, : 999 - 1003
  • [49] Risk Analysis of Global Software Development and Proposed Solutions
    Yu, Liguo
    Mishra, Alok
    AUTOMATIKA, 2010, 51 (01) : 89 - 98
  • [50] Fuzzy comprehensive evaluation to the risk of the railway project contract
    Guo, ZL
    Liu, JY
    Liu, J
    Proceedings of the 2005 International Conference on Management Science and Engineering, 2005, : 188 - 192