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Tag Archives: software evolution
Towards Improving Interface Modularity in Legacy Java Software Through Automated Refactoring
Towards Improving Interface Modularity in Legacy Java Software Through Automated Refactoring
Raffi Khatchadourian
Department of Computer Systems Technology, New York City College of Technology, City University of New York
MARCH 3 @ 12:00 PM – 1:00 PM in N928
The skeletal implementation pattern is a software design pattern consisting of defining an abstract class that provides a partial interface implementation. However, since Java allows only single class inheritance, if implementers decide to extend a skeletal implementation, they will not be allowed to extend any other class. Also, discovering the skeletal implementation may require a global analysis.
Java 8 enhanced interfaces alleviate these problems by allowing interfaces to contain (default) method implementations, which implementers inherit. Java classes are then free to extend a different class, and a separate abstract class is no longer needed; developers considering implementing an interface need only examine the interface itself.
In this talk, I will argue that both these benefits improve software modularity, and I will discuss our ongoing work in developing an automated refactoring tool that would assist developers in taking advantage of the enhanced interface feature for their legacy Java software.
Raffi Khatchadourian is an Assistant Professor in the Department of Computer Systems Technology (CST) at New York City College of Technology (NYCCT) of the City University of New York (CUNY) and an Open Educational Resources (OER) Fellow for the Spring 2016 semester. His research is centered on techniques for automated software evolution, particularly those related to automated refactoring and source code recommendation systems. His goal is to ease the burden associated with correctly and efficiently evolving large and complex software by providing automated tools that can be easily used by developers.
Raffi received his MS and PhD degrees in Computer Science from Ohio State University and his BS degree in Computer Science from Monmouth University in New Jersey. Prior to joining City Tech, he was a Software Engineer at Apple, Inc. in Cupertino, California, where he worked on Digital Rights Management (DRM) for iTunes, iBooks, and the App store. He also developed distributed software that tested various features of iPhones, iPads, and iPods.
- Slides (html)
- Slideshare:
- Prototype implementation
- Project site
Posted in Research
Tagged eclipse, interface, java, java 8, refactoring, research, software engineering, software evolution, software maintenance, software modularity, talk
Towards Improving Interface Modularity in Legacy Java Software Through Automated Refactoring
The skeletal implementation pattern is a software design pattern consisting of defining an abstract class that provides a partial interface implementation. However, since Java allows only single class inheritance, if implementers decide to extend a skeletal implementation, they will not be allowed to extend any other class. Also, discovering the skeletal implementation may require a global analysis.
Java 8 enhanced interfaces alleviate these problems by allowing interfaces to contain (default) method implementations, which implementers inherit. Java classes are then free to extend a different class, and a separate abstract class is no longer needed; developers considering implementing an interface need only examine the interface itself.
In this talk, I will argue that both these benefits improve software modularity, and I will discuss our ongoing work in developing an automated refactoring tool that would assist developers in taking advantage of the enhanced interface feature for their legacy Java software.
Raffi Khatchadourian is an Assistant Professor in the Department of Computer Systems Technology (CST) at New York City College of Technology (NYCCT) of the City University of New York (CUNY) and an Open Educational Resources (OER) Fellow for the Spring 2016 semester. His research is centered on techniques for automated software evolution, particularly those related to automated refactoring and source code recommendation systems. His goal is to ease the burden associated with correctly and efficiently evolving large and complex software by providing automated tools that can be easily used by developers.
Raffi received his MS and PhD degrees in Computer Science from Ohio State University and his BS degree in Computer Science from Monmouth University in New Jersey. Prior to joining City Tech, he was a Software Engineer at Apple, Inc. in Cupertino, California, where he worked on Digital Rights Management (DRM) for iTunes, iBooks, and the App store. He also developed distributed software that tested various features of iPhones, iPads, and iPods.
- Slides (html)
- Slideshare:
- Prototype implementation
- Project site