October 23, 2016

Practical Software Availability Prediction in Telecomminication Industry

  • Okumoto K.

A large number of software reliability growth models have been developed since early 1970s, but there is no single model which can be used in every situation. Predicting software availability based on defect data can be challenging. This paper provides a methodology to approach it. The proposed approach has been successfully implemented for key telecommunication products over several years. Successive exponential models are used to precisely capture an entire defect trend from internal test phases to site test and in-service. The need for multiple curves is explained in terms of software content changes and test resources allocation such as testers, lab time and test cases. We will then present how to predict in-service software reliability and availability based on test defect data. Actual defect and field outage data from several releases of two large-scale software development projects are used to illustrate and validate the proposed approach.

Recent Publications

August 09, 2017

A Cloud Native Approach to 5G Network Slicing

  • Francini A.
  • Miller R.
  • Sharma S.

5G networks will have to support a set of very diverse and often extreme requirements. Network slicing offers an effective way to unlock the full potential of 5G networks and meet those requirements on a shared network infrastructure. This paper presents a cloud native approach to network slicing. The cloud ...

August 01, 2017

Modeling and simulation of RSOA with a dual-electrode configuration

  • De Valicourt G.
  • Liu Z.
  • Violas M.
  • Wang H.
  • Wu Q.

Based on the physical model of a bulk reflective semiconductor optical amplifier (RSOA) used as a modulator in radio over fiber (RoF) links, the distributions of carrier density, signal photon density, and amplified spontaneous emission photon density are demonstrated. One of limits in the use of RSOA is the lower ...

July 12, 2017

PrivApprox: Privacy-Preserving Stream Analytics

  • Chen R.
  • Christof Fetzer
  • Le D.
  • Martin Beck
  • Pramod Bhatotia
  • Thorsten Strufe

How to preserve users' privacy while supporting high-utility analytics for low-latency stream processing? To answer this question: we describe the design, implementation and evaluation of PRIVAPPROX, a data analytics system for privacy-preserving stream processing. PRIVAPPROX provides three properties: (i) Privacy: zero-knowledge privacy (ezk) guarantees for users, a privacy bound tighter ...