Rolling out a radical shift in test automation through a multi-release project management approach

  • Ck S.
  • Kumar P B.

This paper examines a multi-release program management approach to bring in a radical shift in test automation strategy for a telecom project. The existing test automation using GUI automation tools was found inadequate and as regression test effort was increasing, the team came up with an in-house framework to GUI test automation. The paper describes the challenges in roll-out and how project management concepts were utilized to bring in a new test automation approach. How building of a prototype and its refinement through iterative processes helped to bring in a new technology is analyzed in this paper. The paper provides details on continuous integration methodologies employed and the rapid acceleration of test coverage that followed the prototype. How the approach was tweaked in each release to finally reach the goal of making automation an integral part of the development process and enable the team to have tests ready when a feature is ready is also covered in the paper.

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 ...