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Java — — — PHP A static code analysis solution with many integration options for the automated detection of complex security vulnerabilities. SAST Online: 2022-03-07 (1.1.0) No; proprietary — — Java — — — Kotlin, APK: Check the Android Source code thoroughly to uncover and address potential security concerns and vulnerabilities.
EMMA can detect when a single source code line is covered only partially. Coverage stats are aggregated at method, class, package, and "all classes" levels. Output report types: plain text, HTML, XML. All report types support drill-down, to a user-controlled detail depth. The HTML report supports source code linking.
PMD is an open source static source code analyzer that reports on issues found within application code. PMD includes built-in rule sets and supports the ability to write custom rules. PMD does not report compilation errors, as it only can process well-formed source files.
LDRA tool suite is a proprietary software analysis tool providing static code analysis, and also provides code coverage analysis, code, quality, and design reviews. It is a commercial implementation of the software test-bed created by Hennell as part of his university research. [citation needed]
High-level languages such as C++, Java, Smalltalk, and Visual Basic yield 5 to 15 times better productivity, reliability, simplicity, and comprehensibility than low-level languages such as assembly and C. Equivalent code has been shown to need fewer lines to be implemented in high level languages than in lower level languages.
The metric defines an ABC score as a triplet of values that represent the size of a set of source code statements. An ABC score is calculated by counting the number of assignments (A), number of branches (B), and number of conditionals (C) in a program.
Based on information in Java source code, Javadoc generates documentation formatted as HTML and via extensions, other formats. [1] Javadoc was created by Sun Microsystems and is owned by Oracle today. The content and formatting of a resulting document are controlled via special markup in source code comments.
While code integrity is usually achieved by unit testing the source code to reach high code coverage, it is definitely not the only way, or the best way, to achieve code integrity. In fact, code coverage, a popular metric to measure the thoroughness of unit tests, is known to have a limited correlation with the measure of real code integrity. [2]