Monitoring Software Reliability using Statistical Process control: An MMLE approach

Computer Science – Software Engineering

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

International Journal of Computer Science & Information Technology (IJCSIT) Vol 3, No 5, Oct 2011

Scientific paper

This paper consider an MMLE (Modified Maximum Likelihood Estimation) based scheme to estimate software reliability using exponential distribution. The MMLE is one of the generalized frameworks of software reliability models of Non Homogeneous Poisson Processes (NHPPs). The MMLE gives analytical estimators rather than an iterative approximation to estimate the parameters. In this paper we proposed SPC (Statistical Process Control) Charts mechanism to determine the software quality using inter failure times data. The Control charts can be used to measure whether the software process is statistically under control or not.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Monitoring Software Reliability using Statistical Process control: An MMLE approach does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Monitoring Software Reliability using Statistical Process control: An MMLE approach, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Monitoring Software Reliability using Statistical Process control: An MMLE approach will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-53205

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.