Presentation	1999/1/29 Predictive precision analysis of undiscovered errors Keisuke Ohmori, Eiji Shinohara,
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Abstract(in English)	When we manage software quality during test phases, at end of test phases, and at release, we have to predict the number of software undiscovered errors. Because switching system softwares have long life time and are changed continuously, it is useful to analyze error occurrence tendency for high precision quality management. We apply Software Reliability Growth Model (SRGM) to error data in a switching system software which was first developed and added new functions twice. We analyze the application tendency of the best SRGM and prediction precision of undiscovered errors from development process analysis. We also propose a application method by change rate. The SGRM we evaluated this time are the gompertz, logistic delayed S shape and goel-okumoto curve.
Keyword(in Japanese)	(See Japanese page)
Keyword(in English)	Software Reliability Growth Model / Software quality management
Paper #	SSE98-190,OCS98-91
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Conference Information
Committee	OCS
Conference Date	1999/1/29(1days)
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Paper Information
Registration To	Optical Communication Systems (OCS)
Language	JPN
Title (in Japanese)	(See Japanese page)
Sub Title (in Japanese)	(See Japanese page)
Title (in English)	Predictive precision analysis of undiscovered errors
Sub Title (in English)
Keyword(1)	Software Reliability Growth Model
Keyword(2)	Software quality management
1st Author's Name	Keisuke Ohmori
1st Author's Affiliation	NTT Network Service Systems Labs.()
2nd Author's Name	Eiji Shinohara
2nd Author's Affiliation	NTT Network Service Systems Labs.
Date	1999/1/29
Paper #	SSE98-190,OCS98-91
Volume (vol)	vol.98
Number (no)	569
Page	pp.pp.-
#Pages	6
Date of Issue