Dept. of Electr. Eng., National Taiwan Univ.Hou, Rong-HueiRong-HueiHouChen, Ing-YiIng-YiChenChang, Yi-PingYi-PingChangKuo, Sy-YenSy-YenKuo2007-04-192018-07-062007-04-192018-07-061994-1215301362http://ntur.lib.ntu.edu.tw//handle/246246/2007041910032460http://ntur.lib.ntu.edu.tw/bitstream/246246/2007041910032460/1/00465235.pdfhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84970876485&doi=10.1109%2fAPSEC.1994.465235&partnerID=40&md5=6ef54242a7b8aa158167167033810023The hyper-geometric distribution model (HGDM) of software reliability growth has been used for estimating the number of initial faults in a software program. Another important problem in the software development process is to determine when to stop testing and release the software. In this paper, we investigate the optimal release policies minimizing the total expected software cost with a scheduled software delivery time for the HGDM. The total expected software cost includes the penalty cost which should be paid by the manufacturer if the software is delivered after the scheduled delivery time. The main result is that the optimal release time can be determined and shown to be finite. Numerical examples illustrating the optimal software release problem are also presented. © 1994 IEEE.application/pdf582851 bytesapplication/pdfen-USCosts; Probability distributions; Software design; Software testing; Geometric distribution; Geometric distribution models; Optimal release; Optimal software release problem; Software development process; Software program; Software reliability growth; Software Reliability Growth Modeling; Software reliabilityconference paper10.1109/APSEC.1994.4652352-s2.0-84970876485http://ntur.lib.ntu.edu.tw/bitstream/246246/2007041910032460/1/00465235.pdf