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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.
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.
Checkstyle [1] is a static code analysis tool used in software development for checking if Java source code is compliant with specified coding rules. Originally developed by Oliver Burn back in 2001, the project is maintained by a team of developers from around the world.
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.
Automatic source level: instrumentation added to the source code by an automatic tool according to an instrumentation policy. Intermediate language : instrumentation added to assembly or decompiled bytecodes giving support for multiple higher-level source languages and avoiding (non-symbolic) binary offset re-writing issues.
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.
Cyclomatic complexity is a software metric used to indicate the complexity of a program. It is a quantitative measure of the number of linearly independent paths through a program's source code. It was developed by Thomas J. McCabe, Sr. in 1976. Cyclomatic complexity is computed using the control-flow graph of the program.
Many useful comparisons involve only the order of magnitude of lines of code in a project. Using lines of code to compare a 10,000-line project to a 100,000-line project is far more useful than when comparing a 20,000-line project with a 21,000-line project. While it is debatable exactly how to measure lines of code, discrepancies of an order ...