Recommending Unnecessary Source Code Based on Static Analysis
Recommending Unnecessary Source Code Based on Static Analysis is a scholarly work, published in 2019. The main subjects of the publication include static analysis, unreachable code, programming language, static program analysis, code review, open-source software, KPI driven code analysis, software development, source code, certification, code coverage, centrality, code generation, software engineering, code, computer science, code reuse, codebase, test oracle, software, reliability engineering, redundant code, and dead code. The authors investigate to what extent a static analysis approach which is based on code stability and code centrality, is able to identify unnecessary code and whether its recommendations are relevant in practice.