Computer Science ›› 2018, Vol. 45 ›› Issue (11A): 480-487.

• Software Engineering & Database Technology • Previous Articles     Next Articles

Software Stage Effort Prediction Based on Analogy and Grey Model

WANG Yong1, LI Yi1, WANG Li-li1, ZHU Xiao-yan2   

  1. School of Information Science and Engineering,Ocean University of China,Qingdao 266100,China1
    School of Electronics and Information Engineering,Xi’an Jiaotong University,Xi’an 710049,China2
  • Online:2019-02-26 Published:2019-02-26

Abstract: Accurate software effort prediction is one of the most challenging tasks in the software engineering domain.Due to the inherent uncertainty and risk of software development process,it is insufficient to predict the whole effort just at the early stage of the project.In contrast,it is important to predict the effort of each stage during the software development process.This enables the managers to reallocate resources according to the variation of the project development and ensures the project to be completed with the prescribed schedule and under the budget.Therefore,this paper presented a new method for software physical time stage-effort prediction based on both analogy method and grey mo-del.The proposed hybrid method obtains prediction results by combining the values predicted by both analogy and grey model.At the same time,this method can avoid the limitations of using either of them.The experimental results on real world software engineering dataset indicate that the prediction accuracy obtained by the proposed method is better than that obtained by analogy method,GM (1,1) model,GV,Kalman filter and linear regression,showing great potential.

Key words: Analogy, Grey model, Software project management, Stage effort prediction

CLC Number: 

  • TP311
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