The new constructs in aspect-oriented programming can cause hazards to quality assurance. To detect aspect defects, this book presents a state-based approach to systematic modeling and testing of aspects. We extend finite state machines with notations for specifying incremental modification aspects, integration aspects, and combination aspects. We compose aspect models with their base class models through an explicit weaving mechanism. We adapt the round-trip path testing of object-oriented programs to the generation of test sequences from woven-state models. An incremental testing process is exploited to determine whether failures, if revealed, have to do with aspects. We have conducted a series of experiments based on three applications. To further evaluate the fault-detection ability, we have created a significant number of mutants (or variation versions) by seeding one or more aspect variations (i.e., potential faults) and exploited multi-variation mutants to investigate the effect of interaction between aspect variations. Our experiments indicate that our model-based testing approach is highly effective in the detection of the seeded aspect faults.
Testing Aspect-Oriented Programs with State Models
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Description
The new constructs in aspect-oriented programming can cause hazards to quality assurance. To detect aspect defects, this book presents a state-based approach to systematic modeling and testing of aspects. We extend finite state machines with notations for specifying incremental modification aspects, integration aspects, and combination aspects. We compose aspect models with their base class models through an explicit weaving mechanism. We adapt the round-trip path testing of object-oriented programs to the generation of test sequences from woven-state models. An incremental testing process is exploited to determine whether failures, if revealed, have to do with aspects. We have conducted a series of experiments based on three applications. To further evaluate the fault-detection ability, we have created a significant number of mutants (or variation versions) by seeding one or more aspect variations (i.e., potential faults) and exploited multi-variation mutants to investigate the effect of interaction between aspect variations. Our experiments indicate that our model-based testing approach is highly effective in the detection of the seeded aspect faults.
Learn how to successfully implement trustworthy computing tasks using aspect-oriented programming This landmark publication fills a gap in the literature by not only describing the basic concepts of...
Aspect-oriented programming (AOP) offers a new concept for improving the modularity of crosscutting concerns. The advanced composition mechanisms introduced for realizing this concept cause serious...
This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and...
Bachelor Thesis from the year 2009 in the subject Computer Science - Software, grade: 1,0, University of Duisburg-Essen (Institute for Computer Science and Business Information Systems), course:...
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