Testing context-aware middleware-centric programs: a data flow approach and an RFID-based experimentation

  • Authors:

  • Heng Lu;W. K. Chan;T. H. Tse

  • Affiliations:

  • The University of Hong Kong, Pokfulam, Hong Kong;City University of Hong Kong;The University of Hong Kong, Pokfulam, Hong Kong

  • Venue:
  • Proceedings of the 14th ACM SIGSOFT international symposium on Foundations of software engineering
  • Year:
  • 2006

Quantified Score

Hi-index 0.00

Visualization

Abstract

Pervasive context-aware software is an emerging kind of application. Many of these systems register parts of their context-aware logic in the middleware. On the other hand, most conventional testing techniques do not consider such kind of application logic. This paper proposes a novel family of testing criteria to measure the comprehensiveness of their test sets. It stems from context-aware data flow information. Firstly, it studies the evolution of contexts, which are environmental information relevant to an application program. It then proposes context-aware data flow associations and testing criteria. Corresponding algorithms are given. It uses a prototype testing tool to conduct experimentation on an RFID-based location sensing software running on top of context-aware middleware. The experimental results show that our approach is applicable, effective, and promising.