Reliability analysis based on network traffic for a mobile computing

Third-party software development paradigm has been gaining a lot of attention in various software development area, i.e., Android, OpenStack, and Apache HTTP server, etc. However, the poor handling of quality problem and customer support prohibit the progress of OSS (open source software) developed under the third-party software development. Therefore, many companies have been hesitant to innovate the OSS, because an OSS includes several software versions. In particular, the installer software developed under the third-party developers indirectly has an effect on the reliability in area of a mobile device. In this paper, we develop an integrated method of reliability assessment considering the software failure and network traffic based on a hazard rate model and neural network for the mobile device. In particular, we analyze actual software failure-occurrence time data to show numerical examples of software reliability/portability assessment for the mobile device.