#Java to swift converter 2017 code
To evaluate SEADER, we applied it to 25 code pairs, and SEADER successfully inferred 18 unique API misuse templates and related fixes. Based on the inferred information, given a program, SEADER performs inter-procedural static analysis to search for any security API misuse and to propose customized fixing suggestions for those vulnerabilities.
Given an exemplar, insecure code snippet, and its secure counterpart, SEADER compares the snippets and conducts data dependence analysis to infer the security API misuse templates and corresponding fixing operations. To eliminate such API-related vulnerabilities, this paper presents SEADER - our new approach that detects and repairs security API misuses. Prior work shows that many developers misuse security APIs such misuses can introduce vulnerabilities into software, void security protections, and present security exploits to hackers.
However, correctly using security APIs is usually challenging for developers who lack cybersecurity training. Java platform provides various APIs to facilitate secure coding. As native cross-platform mobile apps grow in popularity, J2SLNFERER can shorten their time to market by automating the tedious and error prone task of source-to-source translation. With 76% in-project accuracy and 65% cross-project accuracy, J2SLNFERER outperforms in accuracy j2swift, a state-of-the-art Java-to-Swift conversion tool. We evaluated J2SLNFERER with four applications, using one part of the data to infer translation rules, and the other part to apply the rules. J2SLNFERER represents inferred rules as string templates, stored in a database, to translate code from Java to Swift. For each pair of similar code segments, J2SLNFERER then creates syntax trees of both languages, leveraging the minimalist domain knowledge of language correspondence (e.g., operators and markers) to iteratively align syntax tree nodes, and to infer both syntax and API mapping rules.
#Java to swift converter 2017 software
Given a software corpus in both languages, J2SLNFERER first identifies the syntactically equivalent code based on braces and string similarity. To automate the translation of native cross-platform apps, we present J2SINFERER, a novel approach that iteratively infers syntactic transformation rules and API mappings from Java to Swift. Translating an app from one language (e.g., Java) to another (e.g., Swift) by hand is tedious and error-prone, while automated translators either require manually defined translation rules or focus on translating APIs. Typically, an app is developed for one platform and then ported to the remaining ones. A native cross-platform mobile app has multiple platform-specific implementations.
0 kommentar(er)
