Geometrical solution methods for an optimal software release problem using artificial neural networks

✍ Scribed by Tadashi Dohi; Yasuhiko Nishio; Yasuhide Shinohara; Shunji Osaki

• Publisher: John Wiley and Sons
• Year: 2000
• Tongue: English
• Weight: 190 KB
• Volume: 83
• Category: Article
• ISSN: 1042-0967
• DOI: 10.1002/(sici)1520-6440(200008)83:8<10::aid-ecjc2>3.0.co;2-c

✦ Synopsis

Generally, to find the optimal release time for a software product, the parametric estimation values of the mean value function, which characterizes the software reliability growth model, are determined from the fault detection time data observed during the testing phase, and an analytical method is used to determine the time which minimizes the total software cost. On the other hand, in this paper we concentrate on the geometrical solution method for the optimal release problem based on the software reliability growth model, and the optimal release time is directly estimated from fault detection time data. Neural networks can be applied to the prediction of fault detection time data. It is shown that the optimal release time can be estimated with better accuracy by the proposed method using neural networks than by the conventional methods.