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AST: Automatic Detection of Previously-Unseen Application States for Deployment Environment Testing and Analysis by Christian Murphy; Moses Vaughan; Waseem Ilahi; Gail Kaiser is a scholarly article available to read on EtoBox.

What is AST: Automatic Detection of Previously-Unseen Application States for Deployment Environment Testing and Analysis about?

For large, complex software systems, it is typically impossible in terms of time and cost to reliably test the application in all possible execution states and configurations before releasing it into production. One proposed way of addressing this problem has been to continue testing and analysis of the application in the field, after it has been deployed. A practical limitation of many such automated approaches is the potentially high performance overhead incurred by the necessary instrumentation. However, it may be possible to reduce this overhead by selecting test cases and performing analysis only in previously-unseen application states, thus reducing the number of redundant tests and analyses that are run. Solutions for fault detection, model checking, security testing, and fault localization in deployed software may all benefit from a technique that ignores application states that have already been tested or explored. In this paper, we present a solution that ensures that deployment environment tests are only executed in states that the application has not previously encountered. In addition to discussing our implementation, we present the results of an empirical study that d

Author

Christian Murphy; Moses Vaughan; Waseem Ilahi; Gail Kaiser

Publisher

ACM

Published

2010

Language

EN