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The Effective Smoothing Technique to Estimate the Optimal Software Release Schedule Based on Artificial Neural Network
Tadashi DOHI Yoshifumi YATSUNAMI Yasuhiko NISHIO Shunji OSAKI
Publication
IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences
Vol.E83A
No.5
pp.796803 Publication Date: 2000/05/25 Online ISSN:
DOI: Print ISSN: 09168508 Type of Manuscript: Special Section PAPER (Special Section on Reliability Theory and Its Applications) Category: Keyword: software reliability, software release problem, neural network, cost optimization,
Full Text: PDF(776.7KB)>>
Summary:
In this paper, we develop an effective smoothing technique to estimate the optimal software release schedule which minimizes the total software cost. The optimal software release problem is essentially reduced to a statistical estimation problem for the software failure rate, but the resulting estimator based on both the faultdetection time data observed in testing phase and its estimate in future is discontinuous and does not always function well for determining the optimal release schedule. We estimate the smoothed software failure rate using the usual quadratic programming approach and generate the optimal software release schedule with higher accuracy.

