Program comprehension using aspects

Ng, da Rosa

doi:10.1049/ic:20040216

Cited by 14 publications

(17 citation statements)

References 16 publications

(17 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…On the other hand, [13] adopts the aspect-oriented technology to profile the software execution and to increase the program comprehension of a given fragment of Java code. In particular, AOP is used to trace the methods execution for a single code fragment (e.g., for a specific class), to define all the calls to a given code fragment, and to define if the same fragment is really used by another Java code fragment.…”

Section: Discussion and Related Workmentioning

confidence: 99%

“…The AOP¯HiddenMetrics framework (similarly to [13]) uses AOP to perform its dynamic analysis and define a noninvasive approach to measure software systems.…”

Section: Discussion and Related Workmentioning

confidence: 99%

“…For instance, in [13], the authors try a similar approach but the aspects are built on the chosen SUA hindering their reuse. We got a more general approach by capturing the join points activated by the test cases instead of selecting them on the whole application.…”

Section: Framework Rationalementioning

confidence: 99%

“…The supported metric suite merges some existing metrics, in particular, it is inspired by [1,2,11] and [13]. To provide a uniform exposition, we refer to classes and aspects as modules and to methods and advice as operations.…”

mentioning

confidence: 99%

“…These metrics are from [1,2,11] and [13]; for sake of brevity we do not further explain them. The metric suite should not be considered exhaustive nor fixed since our goal is to support software measurement process through an easy to adapt and extend tool.…”

mentioning

confidence: 99%

See 4 more Smart Citations

AOP-HiddenMetrics: Separation, Extensibility and Adaptability in SW Measurement.

Cazzola

Marchetto²

2008

JOT

View full text Add to dashboard Cite

Traditional approaches to dynamic system analysis and metrics measurement are based on system code (both source, intermediate and executable code) instrumentation or need ad hoc support by the run-time environment. In these contexts, the measurement process is tricky, invasive and the results could be affected by the process itself making the data not germane. Moreover, the tool based on these approaches are difficult to customize, extend and often use since their properties are rooted at specific system details (e.g., special tools such as bytecode analyzers or virtual machine goodies such as the debugger interface) and require high efforts, skills and knowledges to be adapted. Notwithstanding its importance, software measurement is clearly a nonfunctional concern and should not impact on the software development and efficiency. Aspectoriented programming provides the mechanisms to deal with this kind of concern and to overcome the software measurement limitations. In this paper, we present a different approach to dynamic software measurements based on aspect-oriented programming and the corresponding support framework named AOP¯HiddenMetrics. The proposed approach makes the measurement process highly customizable and easy to use reducing its invasiveness and the dependency from the code knowledge.

show abstract

Section: Discussion and Related Workmentioning

confidence: 99%

“…The AOP¯HiddenMetrics framework (similarly to [13]) uses AOP to perform its dynamic analysis and define a noninvasive approach to measure software systems.…”

Section: Discussion and Related Workmentioning

confidence: 99%

Section: Framework Rationalementioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

See 3 more Smart Citations