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Program call graph representation can be used to support many tasks in compiler optimization, program comprehension, and software maintenance. During software evolution, the call graph needs to remain fairly precise and be updated quickly in response to software changes. In this paper, we present an approach to incremental update, instead of exhaustive analysis of the initially constructed call graph...
Understanding software change patterns during evolution is important for researchers concerned with alleviating change impacts. It can provide insight to understand the software evolution, predict future changes, and develop new refactoring algorithms. However, most of the current research focus on the procedural programs like C, or object-oriented programs like Java; seldom effort has been made for...
Change impact analysis is a useful technique for software evolution. It determines the effects of a source editing session and provides valuable feedbacks to the programmers for making correct decisions. Recently, many techniques have been proposed to support change impact analysis of procedural or object-oriented software, but seldom effort has been made for aspect-oriented software. In this paper...
In this paper, we propose a fine-grained coupling metrics suite for aspect-oriented (AO) systems, to measure software changes during system evolution. We also present a correlation model in terms of intermediate processes, for better evaluating the relation between coupling metrics and system maintainability. To investigate the practicability of our proposed model, we have implemented a coupling metrics...
Bug patterns are erroneous code idioms or bad coding practices that have been proved fail time and time again. They mainly arise from the misunderstanding of language features, the use of erroneous design patterns or simple mistakes sharing the common behaviors. Aspect-oriented programming (AOP) is a new technique to separate the cross-cutting concerns for improving modularity in software design and...
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