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| Content Provider | Springer Nature Link |
|---|---|
| Author | Tokuda, Lance Batory, Don |
| Copyright Year | 2001 |
| Abstract | Refactorings are behavior-preserving program transformations that automate design evolution in object-oriented applications. Three kinds of design evolution are: schema transformations, design pattern microarchitectures, and the hot-spot-driven-approach. This research shows that all three are automatable with refactorings. A comprehensive list of refactorings for design evolution is provided and an analysis of supported schema transformations, design patterns, and hot-spot meta patterns is presented. Further, we evaluate whether refactoring technology can be transferred to the mainstream by restructuring non-trivial C++ applications. The applications that we examine were evolved manually by software engineers. We show that an equivalent evolution could be reproduced significantly faster and cheaper by applying a handful of general-purpose refactorings. In one application, over 14K lines of code were transformed automatically that otherwise would have been coded by hand. Our experiments identify benefits, limitations, and topics of further research related to the transfer of refactoring technology to a production environment. |
| Starting Page | 89 |
| Ending Page | 120 |
| Page Count | 32 |
| File Format | |
| ISSN | 09288910 |
| Journal | Automated Software Engineering |
| Volume Number | 8 |
| Issue Number | 1 |
| e-ISSN | 15737535 |
| Language | English |
| Publisher | Kluwer Academic Publishers |
| Publisher Date | 2001-01-01 |
| Publisher Place | Boston |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Software Engineering/Programming and Operating Systems Artificial Intelligence (incl. Robotics) |
| Content Type | Text |
| Resource Type | Article |
| Subject | Software |
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