Aspect-Oriented Programming with Spring

Research and implementation of trace capture technique-based on aspect-oriented programming

Journal of Computer Applications ◽

10.3724/sp.j.1087.2008.01322 ◽

2008 ◽

Vol 28 (5) ◽

pp. 1322-1324 ◽

Cited By ~ 3

Author(s):

Zhu-xi ZHANG

Keyword(s):

Aspect Oriented Programming ◽

Capture Technique

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Migrating production monolithic systems to microservices using aspect oriented programming

Software Practice and Experience ◽

10.1002/spe.2956 ◽

2021 ◽

Author(s):

Augusto Flávio A. A. Freire ◽

Américo Falcone Sampaio ◽

Luis Heustakio L. Carvalho ◽

Otávio Medeiros ◽

Nabor C. Mendonça

Keyword(s):

Aspect Oriented Programming

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Applications of enhanced dynamic code evolution for Java in GUI development and dynamic aspect-oriented programming

ACM SIGPLAN Notices ◽

10.1145/1942788.1868312 ◽

2011 ◽

Vol 46 (2) ◽

pp. 123-126

Author(s):

Thomas Würthinger ◽

Walter Binder ◽

Danilo Ansaloni ◽

Philippe Moret ◽

Hanspeter Mössenböck

Keyword(s):

Dynamic Aspect ◽

Aspect Oriented Programming ◽

Code Evolution

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Weaving Techniques and its impact on execution of classes in Aspect Oriented Programming

2015 4th International Conference on Reliability, Infocom Technologies and Optimization (ICRITO) (Trends and Future Directions) ◽

10.1109/icrito.2015.7359263 ◽

2015 ◽

Author(s):

Sunil Kumar Khatri ◽

Pankaj Narayan ◽

Prashant Johri

Keyword(s):

Aspect Oriented Programming

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Reengineering of Java Legacy System Based on Aspect-Oriented Programming

2010 Second International Workshop on Education Technology and Computer Science ◽

10.1109/etcs.2010.298 ◽

2010 ◽

Cited By ~ 1

Author(s):

Liangyu Chen ◽

Jianlin Wang ◽

Ming Xu ◽

Zhenbing Zeng

Keyword(s):

Aspect Oriented Programming ◽

Legacy System

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Multilevel Security Using Aspect Oriented Programming AspectJ

2010 International Conference on Advances in Recent Technologies in Communication and Computing ◽

10.1109/artcom.2010.87 ◽

2010 ◽

Cited By ~ 4

Author(s):

S. Kotrappa ◽

Prakash J. Kulkarni

Keyword(s):

Aspect Oriented Programming ◽

Multilevel Security

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Flexible and efficient profiling with aspect-oriented programming

Concurrency and Computation Practice and Experience ◽

10.1002/cpe.1760 ◽

2011 ◽

Vol 23 (15) ◽

pp. 1749-1773 ◽

Cited By ~ 10

Author(s):

Walter Binder ◽

Danilo Ansaloni ◽

Alex Villazón ◽

Philippe Moret

Keyword(s):

Aspect Oriented Programming

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Robot Software Framework Using Object and Aspect Oriented Programming Paradigm

Distributed Autonomous Robotic Systems 8 ◽

10.1007/978-3-642-00644-9_13 ◽

2009 ◽

pp. 149-160 ◽

Cited By ~ 1

Author(s):

Fumio Ozaki ◽

Jun’ichiro Ooga ◽

Kunikatsu Takase

Keyword(s):

Software Framework ◽

Aspect Oriented Programming ◽

Programming Paradigm

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Improving dynamic data analysis with aspect-oriented programming

Seventh European Conference onSoftware Maintenance and Reengineering, 2003. Proceedings. ◽

10.1109/csmr.2003.1192434 ◽

2003 ◽

Cited By ~ 12

Author(s):

T. Gschwind ◽

J. Oberleitner

Keyword(s):

Data Analysis ◽

Aspect Oriented Programming ◽

Dynamic Data

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Metrics for evaluation of metaprogram complexity

Computer Science and Information Systems ◽

10.2298/csis090315004d ◽

2010 ◽

Vol 7 (4) ◽

pp. 769-787 ◽

Cited By ~ 6

Author(s):

Robertas Damasevicius ◽

Vytautas Stuikys

Keyword(s):

Measurement Techniques ◽

Graph Algorithm ◽

Aspect Oriented Programming ◽

Engineering Software ◽

Software Complexity ◽

Complexity Management ◽

Complexity Metrics ◽

Cognitive Difficulty ◽

Cognitive Dimensions

The concept of complexity is used in many areas of computer science and software engineering. Software complexity metrics can be used to evaluate and compare quality of software development and maintenance processes and their products. Complexity management and measurement is especially important in novel programming technologies and paradigms, such as aspect-oriented programming, generative programming, and metaprogramming, where complex multilanguage and multi-aspect program specifications are developed and used. This paper analyzes complexity management and measurement techniques, and proposes five complexity metrics (Relative Kolmogorov Complexity, Metalanguage Richness, Cyclomatic Complexity, Normalized Difficulty, Cognitive Difficulty) for measuring complexity of metaprograms at information, metalanguage, graph, algorithm, and cognitive dimensions.

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