Abstract

In this paper, we investigate opportunities to be gained from broadening the definition of program slicing. A major inspiration for our work comes from the field of partial evaluation, in which a wide repertoire of techniques have been developed for specializing programs. While slicing can also be harnessed for specializing programs, the kind of specialization obtainable via slicing has heretofore been quite restricted, compared to the kind of specialization allowed in partial evaluation. In particular, most slicing algorithms are what the partial-evaluation community calls monovariant: each program element of the original program generates at most one element in the answer. In contrast, partial-evaluation algorithms can be polyvariant, i.e., one program element in the original program may correspond to more than one element in the specialized program. The full paper appears in ACM TOPLAS 36(2), 2014.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.