2009, Vol.14, No.8

Journal of The Korea Society of Computer and Information 2023 KCI Impact Factor : 0.65

pISSN : 1598-849X / eISSN : 2383-9945
https://journal.kci.go.kr/jksci

In this paper, make a study decision problem called an optimal release policies after testing a software system in development phase and transfer it to the user. When correcting or modifying the software, because of the possibility of introducing new faults when correcting or modifying the software, infinite failure non-homogeneous Poisson process models presented and propose an optimal release policies of the life distribution applied fixed shape parameter distribution which can capture the increasing/decreasing nature of the failure occurrence rate per fault. In this paper, discuss optimal software release policies which minimize a total average software cost of development and maintenance under the constraint of satisfying a software reliability requirement. In a numerical example, after trend test applied and estimated the parameters using maximum likelihood estimation of inter-failure time data, make out estimating software optimal release time.

This paper proposes the way of improving learning speed in Levenberg-Marquardt algorithm using the principal submatrix of Jacobian matrix. The Levenberg-Marquardt learning uses Jacobian matrix for Hessian matrix to get the second derivative of an error function. To make the Jacobian matrix an invertible matrix, the Levenberg-Marquardt learning must increase or decrease and recalculate the inverse matrix of the Jacobian matrix due to these changes of . Therefore, to have the proper , we create the principal submatrix of Jacobian matrix and set the as the eigenvalues sum of the principal submatrix, which can make learning speed improve without calculating an additional inverse matrix. We also showed that our method was able to improve learning speed in both a generalized XOR problem and a handwritten digit recognition problem.

This ladder rejection game is different from the existing game in terms of design, functions, and contents of the screen. This paper contains six specific explanations about the supplemented ladder rejection game. First, the design of this ladder rejection game extended fundamental principles of the existing game and added new diverse functions. Therefore, 12 people can play this game at the same time. Actually, the existing ladder game was designed for 10 people. Second, this supplemented ladder rejection game was designed after the existing game was analyzed. Third, the contents of the screen and the game which is embodied with object design of the whole screen were examined. Fourth, terminology and fundamental principles of this game was explained. Fifth, strong points of the game were listed. Sixth, the direction of the game development in the future was argued.