System Modularity has positive effects on software maintainability, reusability, and understandability. One factor that can affect system modularity is code tangling due to code clones. Code tangling can have serious cross-cutting effects on the source code and thereby affect maintainability and reusability of the code. In this research we have developed an algorithmic approach to convert code clones to aspects in order to improve modularity and aid maintainability. Firstly, we use an existing code-clone detection tool to identify code clones in a source code. Secondly, we design algorithms to convert the code clones into aspects and do aspect composition with the original source code. Thirdly, we implement a prototype based on the algorithms. Fourthly, we carry out a performance analysis on the aspects composed source code and our analysis shows that the aspect composed code performs as well as the original code and even better in terms of execution times.
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This research work was partly supported by Canada NSERC Engage research grant number EGB 410451-10 and partly by Canada NSERC discovery grant number 250271. The testing of the prototype was done in collaboration with Cistel Inc., Ottawa, ON, Canada through the use of their software source code.
Appendix A1—CC2ASPECT user interface
A2—an example of a code clone in PENTRIS
Tables containing the execution times data. All execution time values are in milliseconds.
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Ajila, S.A., Gakhar, A.S. & Lung, C. Aspectualization of code clones—an algorithmic approach. Inf Syst Front 16, 835–851 (2014). https://doi.org/10.1007/s10796-013-9428-7
- Code clones
- Aspects mining
- Performance analysis