A classification system and analysis for aspect-oriented programs
Proceedings of the 12th ACM SIGSOFT twelfth international symposium on Foundations of software engineering
Visualisation-based tool support for the development of aspect-oriented programs
Proceedings of the 5th international conference on Aspect-oriented software development
Extending omniscient debugging to support aspect-oriented programming
Proceedings of the 2008 ACM symposium on Applied computing
Detecting unanticipated aspect interferences at runtime with compositional intentions
Proceedings of the Workshop on AOP and Meta-Data for Software Evolution
Static analysis of aspect interaction and composition in component models
Proceedings of the 10th ACM international conference on Generative programming and component engineering
A fine-grained debugger for aspect-oriented programming
Proceedings of the 11th annual international conference on Aspect-oriented Software Development
A closer look at aspect interference and cooperation
Proceedings of the 11th annual international conference on Aspect-oriented Software Development
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To comprehend programs or to fix a bug, programmers always mentally simulate the program execution by reading the source code. Aspect-oriented programming (AOP) increases this mental effort, because it can alter the state and the behavior of the base program at a join point to any extent by executing advices. Advices are implicitly invoked in the source code and their compositions at a join point may vary according to the runtime context. They can access and even change the context values of join points. Without appropriate tools, it is difficult to notice the effects of the implicitly executed advices. The goal of my work is to increase the comprehensibility of AO programs by using a graphical tool, that can succinctly visualize the state and behavioral changes at join points.