Structural Testing of Active DataBases
Abstract
Active databases (ADBs) are databases that include active components or agents that can execute actions. The rise of active databases in the picture of software development has a great impact on software systems and in the discipline of software engineering. However, we still lack the foundations that are needed to adequately support this new tool. These foundations are needed in order to properly apply known software engineering techniques to ADBs and systems that use them. Among the methods and techniques used to improve quality, we count systematic testing. In this work, we generalize structural testing techniques to ADB systems. We introduce a model of active databases, called dbgraph, suitable for testing. We show that dbgraphs can be used to generalize structural testing techniques for ADBs. Moreover, we introduce several new structural criteria aimed at find errors in a set of rules for an ADB. We also compare the strength of the coverage criteria presented in this work.
Downloads
Published
Issue
Section
License
Copyright (c) 1998 Martín Balzamo, Martina Marré, Daniel Yankelevich

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Those authors who have publications with this journal, agree with the following terms:
a. Authors will retain its copyright and will ensure the rights of first publication of its work to the journal, which will be at the same time subject to the Creative Commons Atribución-NoComercial-CompartirIgual 4.0 Internacional (CC BY-NC-SA 4.0) allowing third parties to share the work as long as the author and the first publication on this journal is indicated.
b. Authors may elect other non-exclusive license agreements of the distribution of the published work (for example: locate it on an institutional telematics file or publish it on an monographic volume) as long as the first publication on this journal is indicated,
c. Authors are allowed and suggested to disseminate its work through the internet (for example: in institutional telematics files or in their website) before and during the submission process, which could produce interesting exchanges and increase the references of the published work. (see The effect of open Access)















