%0 Journal Article %1 noauthororeditor %A S.Babu, %D 2011 %J International Journal of Computer Science, Engineering and Applications (IJCSEA) %K algorithms networks %N 06 %P 11-31 %R 10.5121/ijcsea.2011.1602 %T IMPLEMENTATION OF DYNAMIC COUPLING MEASUREMENT OF DISTRIBUTED OBJECT ORIENTED SOFTWARE BASED ON TRACE EVENTS %U http://airccse.org/journal/ijcsea/papers/1211ijcsea02.pdf %V 01 %X 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.

@article{noauthororeditor, abstract = {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.}, added-at = {2018-06-06T06:22:09.000+0200}, author = {S.Babu}, biburl = {https://www.bibsonomy.org/bibtex/24e9f210c9f4107f7f55a6d895fef9d0b/ijcsea}, doi = {10.5121/ijcsea.2011.1602}, interhash = {2122489efa0b8afbf325e1e97d236094}, intrahash = {4e9f210c9f4107f7f55a6d895fef9d0b}, issn = {2230-9616}, journal = {International Journal of Computer Science, Engineering and Applications (IJCSEA)}, keywords = {algorithms networks}, month = dec, number = 06, pages = {11-31}, timestamp = {2018-06-06T06:22:09.000+0200}, title = {IMPLEMENTATION OF DYNAMIC COUPLING MEASUREMENT OF DISTRIBUTED OBJECT ORIENTED SOFTWARE BASED ON TRACE EVENTS}, url = {http://airccse.org/journal/ijcsea/papers/1211ijcsea02.pdf}, volume = 01, year = 2011 }