Ansor can find high-performance programs that are outside the search space of existing state-of-the-art approaches.
We present QFAST, a quantum synthesis tool designed to produce short circuits and to scale well in practice.
Our evaluation shows that: 1. adding supervision to an existing unsupervised technique can improve performance, though not necessarily by much; 2. simple networks for supervision can be more effective that more sophisticated sequence-based networks for code search; 3. while it is common to use docstrings to carry out supervision, there is a sizeable gap between the effectiveness of docstrings and a more query-appropriate supervision corpus.
Such a tool could help programmers to extend partially written code snippets to completely implement necessary functionality, help to discover extensions to the partial code which are commonly done by other programmers, help to cross-check against similar code written by other programmers, or help to add extra code which would avoid common mistakes and errors.
We formulate bug detection as a binary classification problem and train a classifier that distinguishes correct from incorrect code.
Software Engineering Programming Languages
However, AFL remains limited in the depth of program coverage it achieves, in particular because it does not consider which parts of program inputs should not be mutated in order to maintain deep program coverage.
Software Engineering Cryptography and Security