Covering arrays for efficient fault characterization in complex configuration spaces
Software engineering notes
Many modern software systems are designed to be highly configurable so they can run on and be optimized for a wide variety of platforms and usage scenarios. Testing such systems is difficult because, in effect, you are testing a multitude of systems, not just one. Moreover, bugs can and do appear in some configurations, but not in others. Our research focuses on a subset of these bugs that are "option-related"-those that manifest with high probability only when specific configuration options
... guration options take on specific settings. Our goal is not only to detect these bugs, but also to automatically characterize the configuration subspaces (i.e., the options and their settings) in which they manifest. To improve efficiency, our process tests only a sample of the configuration space, which we obtain from mathematical objects called covering arrays. This paper compares two different kinds of covering arrays for this purpose and assesses the effect of sampling strategy on fault characterization accuracy. Our results strongly suggest that sampling via covering arrays allows us to characterize option-related failures nearly as well as if we had tested exhaustively, but at a much lower cost. We also provide guidelines for using our approach in practice. Sciences. His current research interests include empirical methods for identifying and eliminating bottlenecks in industrial development processes, experimental evaluation of fundamental software engineering hypotheses, and development of tools that demonstrably improve the software development process. He is a senior member of the IEEE. . For more information on this or any other computing topic, please visit our Digital Library at www.computer.org/publications/dlib.