Repeated CTD -- Unleashing the Potential in Multiple Testing Iterations

  • Segall I.

Test design is the process of planning and designing the tests to be performed on a software system. The time scale at which organizations perform and modify their test design is typically orders of magnitude larger than that of development, especially in modern agile development processes. As a result, often the carefully designed and optimized test suites end up being repeatedly executed with no variability between iterations, thus wasting crucial time and resources. In this work we propose a repeated test planning process based on Combinatorial Test Design (CTD), where test iterations are planned and executed while taking into account the previously executed iterations. While each iteration satisfies the same test requirements as before, we leverage the degrees of freedom in test planning in order to reach full coverage of higher levels of requirements over the course of iterations, and suggest algorithms for doing so efficiently. We evaluate our approach over a set of models collected from different sources in literature, and demonstrate significant improvement in coverage rate of higher levels, compared to the na"ive approaches.

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 ...