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Recent advances in program synthesis offer means to automatically debug student submissions and generate personalized feedback in massive programming classrooms. When automatically generating feedback for programming assignments, a key challenge is designing pedagogically useful hints that are as effective as the manual feedback given by teachers. Through an analysis of teachers' hint-giving practices...
Researchers have proposed a number of automated techniques for testing refactoring engines. However, they may have limitations related to the program generator, time consumption, kinds of bugs, and debugging. We propose a technique to scale testing of refactoring engines. We improve expressiveness of a program generator, use a technique to skip some test inputs to improve performance, and propose...
Currently most developers have to apply manual steps and use test suites to improve confidence that transformations applied to object-oriented (OO) and aspect-oriented (AO) programs are correct. However, it is not simple to do manual reasoning, due to the nontrivial semantics of OO and AO languages. Moreover, most refactoring implementations contain a number of bugs since it is difficult to establish...
Proving refactoring sound with respect to a formal semantics is considered a challenge. In practice, developers write test cases to check their refactoring implementations. However, it is difficult and time consuming to have a good test suite since it requires complex inputs (programs) and an oracle to check whether it is possible to apply the transformation. If it is possible, the resulting program...
Each refactoring implementation must check a number of conditions to guarantee behavior preservation. However, specifying and checking them are difficult. Sometimes refactoring tool developers may define overly strong conditions that prevent useful behavior-preserving transformations to be performed. We propose an approach for identifying overly strong conditions in refactoring implementations. We...
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