Dynamic Coupling Measurement of Object Oriented Software Using Trace Events

Kavitha, A.; Shanmugam, A.

doi:10.1109/sami.2008.4469179

Cited by 6 publications

(4 citation statements)

References 13 publications

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“…Cohesion describes the intra-dependability inside components within a class [1]. Cohesion of one component is the degree to which it's responsibilities form a significative unit , high cohesion is necessary for good quality and reusability [9] [10].…”

Section: Cohesion Metricmentioning

confidence: 99%

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Expert System for Software Reusability

Zeinulabdeen¹,

Omar²

2018

IJCA

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In modern science, software engineering dealing with improving systems of the software within a short time to enhance the development process and reduce the cost as much as possible . Software reusability is the process that uses existing software components for implementing and updating software systems . Software engineers utilise reusability to reduce effort , time and cost in addition to increase the quality and productivity of software systems , also to check if software components can be reusability . Reusability of any component is computed depending on several metrics . In this paper, cohesion and coupling metrics are used to measure the reuse of software components of Object Oriented procedure ( Java codes ) . The proposed expert system was constructed for solving software reusability problems .The expert system will be used as an intelligent technique to produce smart advice for software reusability problems.

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Section: Cohesion Metricmentioning

confidence: 99%

“…Coupling describes the amount of inter-dependability among classes , it refer to the strength of program units [9] [10] .Program units which have high coupling are dependent on each other , loosely coupled program units are almost independent . low coupling is necessary for high quality and reusability of software [1].…”

Section: Coupling Metricmentioning

confidence: 99%

Expert System for Software Reusability

Zeinulabdeen¹,

Omar²

2018

IJCA

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“…Static analysis cannot capture all the dimensions of object-level coupling, as features of object-oriented programming such as polymorphism, dynamic binding and inheritance in evaluating the run-time behavior of an application [10]. As per the previous research and experiments, dynamic coupling is more precise than static coupling for systems with unused code [15].…”

Section: Introductionmentioning

confidence: 99%

Development of Dynamic Coupling Measurement of Distributed Object Oriented Software Based on Trace Events

Babu¹

2012

IJSEA

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Software metrics are increasingly playing a central role in the planning and control of software development projects. Coupling measures have important applications in software development and maintenance. Existing literature on software metrics is mainly focused on centralized systems, while work in the area of distributed systems, particularly in service-oriented systems, is scarce. Distributed systems with service oriented components are even more heterogeneous networking and execution environment. Traditional coupling measures take into account only "static" couplings. They do not account for "dynamic" couplings due to polymorphism and may significantly underestimate the complexity of software and misjudge the need for code inspection, testing and debugging. This is expected to result in poor predictive accuracy of the quality models in distributed Object Oriented systems that utilize static coupling measurements. In order to overcome these issues, we propose a hybrid model in Distributed Object Oriented Software for measure the coupling dynamically. In the proposed method, there are three steps such as Instrumentation process, Post processing and Coupling measurement. Initially the instrumentation process is done. In this process the instrumented JVM that has been modified to trace method calls. During this process, three trace files are created namely .prf, .clp, .svp. In the second step, the information in these file are merged. At the end of this step, the merged detailed trace of each JVM contains pointers to the merged trace files of the other JVM such that the path of every remote call from the client to the server can be uniquely identified. Finally, the coupling metrics are measured dynamically. The implementation results show that the proposed system will effectively measure the coupling metrics dynamically.

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“…Static analysis cannot capture all the dimensions of object-level coupling, as features of object-oriented programming such as polymorphism, dynamic binding and inheritance in evaluating the run-time behaviour of an application [9]. As per the previous research and experiments, dynamic coupling is more precise than static coupling for systems with unused code [10].…”

Section: Introductionmentioning

confidence: 99%