Monitoring Software Reliability using Statistical Process Control An Ordered Statistics Approach
This work addresses software reliability monitoring for developers, but it appears incremental as it builds on existing control chart methods.
The authors tackled the challenge of producing high-quality, reliable software by proposing an NHPP-based control mechanism using order statistics and cumulative quantity between failure observations with an exponential distribution's mean value function.
The nature and complexity of software have changed significantly in the last few decades. With the easy availability of computing power, deeper and broader applications are made. It has been extremely necessary to produce good quality software with high precession of reliability right in the first place. Olden day's software errors and bugs were fixed at a later stage in the software development. Today to produce high quality reliable software and to keep a specific time schedule is a big challenge. To cope up the challenge many concepts, methodology and practices of software engineering have been evolved for developing reliable software. Better methods of controlling the process of software production are underway. One of such methods to assess the software reliability is using control charts. In this paper we proposed an NHPP based control mechanism by using order statistics with cumulative quantity between observations of failure data using mean value function of exponential distribution.