Analysis of program changes nature and searching for unpatched code fragments

Executable KPI-driven code analysis Dead code Software evolution
DOI: 10.15514/ispras-2019-31(1)-3 Publication Date: 2019-05-25T18:01:35Z
ABSTRACT
Software developers often resort to borrowing code both within one project and from another. Due the possible content of errors in source snippet, this can lead error propagation across program. Libraries used without may also contain potential errors. The purpose work is developing methods for analyzing nature changes between versions software components which missing. And potentially related correction defects, search similar, but not fixed defects using clone methods. implementation proposed approach analysis development will ensure assessment quality patches. Since implemented method independent architecture operating system, works with executable code, allows it be third-party binary builds proprietary software. average percentage true positives on CoreBench test suite ~ 73%.
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