In Object Oriented systems super-imposition is a way to implement crosscutting concerns that introduce scattering and tangling of code components among the Types implemented along Type Hierarchies. This paper presents the results of the analysis of a set of existing Java systems to confirm and verify this assumption. The analysis was carried out exploiting a method to automatically analyse and ...

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When racial groups differ in terms of their political sensitivity—the propensity of group members to change their vote based on changes in redistribution promised by a candidate—the racial composition of a political jurisdiction affects redistributive policy even when preferences are correlated only with income. Furthermore, the extent to which race and class are cross-cutting is important. Alt...

In this paper, we investigate whether module concepts for capturing multi-object collaborations can be effectively used to implement crosscutting concerns in reusable, independently developed modules for a-posteriori integration into existing systems. A new kind of collaboration module, called Object Teams, is proposed which combines the best features of existing approaches, further enhances th...

We present a consistent system for referring crosscutting functionality, relating crosscutting concerns to specific implementation idioms, and formalizing their underlying relations through queries. The system is based on generic crosscutting concerns that we organize and describe in a catalog. We have designed and implemented a tool support for querying source code for instances of the propose...

This paper describes the results of a small exploratory study performed to elucidate crosscutting concerns in existing codebases. Our hypothesis was that that the code directly associated with program change tasks would be representative of crosscutting concerns. To our surprise, we found that it was more often obstacles in the code encountered while making a change that indicated concerns.

Root cause diagnosis of large-scale HPC applications often fails because tools, specifically trace-based ones, can no longer record all metrics they measure. We address this problems by combining customized tracing and providing support for in-situ data analysis via ScalaJack, a framework with customizable instrumentation and pluggable extension capabilities for problem directed instrumentation...