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CodeQL Coding Standards : User manual

Document management

Document ID: codeql-coding-standards/user-manual

Version Date Author Changes
0.1.0 2021-08-24 Luke Cartey Initial version.
0.2.0 2021-09-03 Luke Cartey Clarify the required SARIF version.
0.3.0 2021-09-07 Luke Cartey Extract tool qualification into to separate document with id codeql-coding-standards/iso-26262-tool-qualification.
0.4.0 2021-09-10 Luke Cartey Refine the use cases and failure modes.
0.5.0 2021-09-19 Luke Cartey Clarify requirements of build command. Clarify the certification scope. Add false positives/negatives as failure modes.
0.6.0 2021-11-16 Remco Vermeulen Add description of deviation records and analysis reports.
0.7.0 2021-11-29 Remco Vermeulen Add document management section. Add release section.
0.8.0 2022-02-06 Remco Vermeulen Add Hazard and Risk Analysis (HARA). Remove armclang support.
0.9.0 2022-02-17 Remco Vermeulen Finalize scope deviation records
0.10.0 2022-02-28 Remco Vermeulen Describe database correctness in the Hazard and Risk Analysis (HARA).
0.11.0 2022-02-28 Remco Vermeulen Updated version to 1.1.0

Release information

This user manual documents release 1.1.0 of the coding standards located at https://github.com/github/codeql-coding-standards/releases/tag/v1.1.0 . The release page documents the release notes and contains the following artifacts part of the release:

  • code-scanning-cpp-query-pack-anon-1.1.0 .zip: coding standard queries and scripts to be used with GitHub Code Scanning or the CodeQL CLI as documented in the section Operating manual.
  • lgtm-cpp-query-pack-anon-v1.1.0.zip: coding standard queries to be used with GitHub LGTM Enterprise as documented in the section Operating manual.
  • supported_rules_list_1.1.0 .csv: A Comma Separated File (CSV) containing the supported rules per standard and the queries that implement the rule.
  • supported_rules_list_1.1.0 .md: A Markdown formatted file with a table containing the supported rules per standard and the queries that implement the rule.
  • user_manual.md: This user manual.
  • Source Code (zip): A zip archive containing the contents of https://github.com/github/codeql-coding-standards
  • Source Code (tar.gz): A GZip compressed tar archive containing the contents of https://github.com/github/codeql-coding-standards

Introduction

Background

CodeQL is a static analysis tool that treats code as data. It does so by building a database of facts about a codebase under analysis. CodeQL queries can then be run against this database of facts to find patterns of interest, such as bugs, security problems and maintainability issues.

A coding standard is a set of rules or guidelines which restrict or prohibit the use of certain dangerous or confusing coding patterns or language features. Following a coding standard can improve the reliability of a software product. Each rule in a coding standard is typically provided with a unique identifier.

Product description

The CodeQL Coding Standards product is a set of CodeQL queries for identifying contraventions of rules in the following coding standards:

Standard Version Total rules Total supportable rules Status
AUTOSAR C++ 20-11 397 375 Implemented
CERT-C++ 2016 83 83 Implemented

Not all rules in these standards are amenable to static analysis by CodeQL - some rules require external or domain specific knowledge to validate, or refer to properties which are not present in the our representation of the codebase under analysis. For each rule we therefore identify whether it is supportable or not. Furthermore, a rule can be supported in two ways:

  • Automated - the queries for the rule find contraventions directly.
  • Audit only - the queries for the rule does not find contraventions directly, but instead report a list of candidates that can be used as input into a manual audit. For example, A10-0-1 (Public inheritance shall be used to implement 'is-a' relationship) is not directly amenable to static analysis, but CodeQL can be used to produce a list of all the locations that use public inheritance so they can be manually reviewed.

Each supported rule is implemented as one or more CodeQL queries, with each query covering an aspect of the rule. In many coding standards, the rules cover non-trivial semantic properties of the codebase under analysis.

The datasheet "CodeQL Coding Standards: supported rules", provided with each release, lists which rules are supported for that particular release, and the scope of analysis for that rule.

Supported environment

This section describes the supported environment for the product.

CodeQL dependencies

To run the "CodeQL Coding Standards" queries two additional components are required:

  • The CodeQL CLI - this is the command line tool for creating CodeQL databases and running CodeQL queries.
  • The CodeQL Standard Library for C++ - this provides the common CodeQL query libraries used in the implementation of the CodeQL Coding Standards queries.

Refer to the release notes for the selected release to determine which versions of these dependencies are supported or required.

From a functional safety perspective, the use of these two components is only validated in conjunction with the use cases supported in the user manual.

Codebase requirements

The codebase under analysis must:

  • Comply with C++14
  • Use one of the following supported compilers:
    • Clang version 10

Use of the queries outside these scenarios is possible, but not validated for functional safety. In particular:

  • Use of the queries against codebases written with more recent versions of C++ (as supported by CodeQL) are not validated in the following circumstances:
    • When new language features are used
    • When language features are used which have a differing interpretation from C++14.
  • Use of the queries against codebases which use other compilers or other compiler versions supported by CodeQL (e.g. gcc) is not tested or validated for functional safety.

In all scenarios, the codebase must comply with the language, platform and compiler requirements listed on the CodeQL: Supported languages and frameworks in order to be successfully analyzed.

In addition, the machine which performs the analysis must be able to complete a clean build of the codebase.

Analysis report requirements

The Coding Standards ships with scripts to generate reports that summarizes:

  • The integrity and validity of the CodeQL database created for the project.
  • The findings reported by the default queries for the selected Coding Standards, grouped by categories as specified by MISRA Compliance 2020.
  • The CodeQL dependencies used for the analysis, and whether they comply with the stated requirements.

The environment used to generate these reports requires:

  • A Python interpreter version 3.9
  • A CodeQL CLI version documented in the release artifact supported_codeql_configs.json

Operating manual

This section describes how to operate the "CodeQL Coding Standards".

Command line

Pre-requisite: downloading the CodeQL CLI

You must download a compatible version of the CodeQL CLI and CodeQL Standard Library for C++.

Option 1: Use the CodeQL CLI bundle, which includes both required components:

  1. Download the CodeQL CLI bundle from the github/codeql-action releases page.
  2. Expand the compressed archive to a specified location on your machine.
  3. [Optional] Add the CodeQL CLI to your user or system path.

Option 2: Fetch the components separately:

  1. Download the CodeQL CLI from the github/codeql-cli-binaries releases page
  2. Expand the compressed archive to a specified location on your machine.
  3. Using git, clone the github/codeql repository to a sibling directory of the CodeQL CLI. The github/codeql repository contains the CodeQL Standard Library for C++.
  4. [Optional] Add the CodeQL CLI to your user or system path.

The release notes for the "CodeQL Coding Standards" pack you are using will specify the appropriate versions to use.

Creating a CodeQL database

In order to run the Coding Standards queries you must first build a CodeQL database representing the program. You will need the following pre-requisites:

  • A machine with the source code available locally.
  • A clean build command for the project, which compiles all relevant source code locally on the machine without failure. Incremental and distributed builds must be disabled. The build command must be tested prior to configuring the CodeQL CLI and confirmed to compile all relevant files and return a zero exit code to indicate success.

The database can be created using the CodeQL CLI like so:

codeql database create --language cpp --command <build_command> <output_database_name>

This will produce a CodeQL database at the <output_database_name> path.

Reference: CodeQL CLI: Creating a CodeQL database

Running the default analysis for one or more Coding Standards

Once you have a CodeQL database for your project, you can run the "default" query suite. This will run all the "automated" queries for each implemented rule in the specified Coding Standards.

The query suites can be run by using the codeql database analyze command:

codeql database analyze --format=sarifv2.1.0 --output=<name-of-results-file>.sarif path/to/<output_database_name> path/to/codeql-coding-standards/cpp/<coding-standard>/src/codeql-suites/<coding-standard>-default.qls...

For each Coding Standard you want to run, add a trailing entry in the following format: path/to/codeql-coding-standards/cpp/<coding-standard>/src/codeql-suites/<coding-standard>-default.qls.

The only supported SARIF version for use in a functional safety environment is version 2.1.0. To select this SARIF version you must specify the flag --format=sarifv2.1.0 when invoking the database analyze command codeql database analyze ... as shown in the above example.

Running the default analysis for one or more Coding Standards may require further performance customizations for larger codebases. The following flags may be passed to the database analyze command to adjust the performance:

  • --ram - to specify the maximum amount of RAM to use during the analysis as documented in the CodeQL CLI manual.
  • --thread - to specify number of threads to use while evaluating as documented in the CodeQL CLI manual.

The output of this command will be a SARIF file called <name-of-results-file>.sarif.

Running the analysis for audit level queries

Optionally, you may want to run the "audit" level queries. These queries produce lists of results that do not directly highlight contraventions of the rule. Instead, they identify locations in the code that can be manually audited to verify the absence of problems for that particular rule.

codeql database analyze --format=sarifv2.1.0 --output=<name-of-results-file>.sarif path/to/<output_database_name> path/to/codeql-coding-standards/cpp/<coding-standard>/src/codeql-suites/<coding-standard>-audit.qls...

For each Coding Standard you want to run, add a trailing entry in the following format: path/to/codeql-coding-standards/cpp/<coding-standard>/src/codeql-suites/<coding-standard>-default.qls.

Producing an analysis report

In addition to producing a results file, an analysis report can be produced that summarizes:

  • The integrity and validity of the CodeQL database created for the project.
  • The findings reported by the default queries for the selected Coding Standards, grouped by categories as specified by MISRA Compliance 2020.
  • The CodeQL dependencies used for the analysis, and whether they comply with the stated requirements.

To run this script, the CodeQL CLI part of a supported CodeQL Bundle and Python interpreter version 3.9 must be available on the system path.

python3 scripts/reports/analysis_report.py path/to/<output_database_name> <name-of-results-file>.sarif <output_directory>

This will produce a directory (<output_directory>) containing the following report files in markdown format:

  • A Guideline Compliance Summary (GCS) which meets the requirements specified by the MISRA Compliance 2020 document, and providing a summary of:
    • Whether the analysis reports that the project is "Compliance".
    • Which Coding Standards were applied.
    • The versions of the CodeQL CLI, CodeQL Standard Library for C/C++ and the CodeQL Coding Standards queries used to perform the analysis.
    • Count of violations of guidelines by guideline category ("Required", "Advisory")
    • A list of the guidelines checked, and the status of each guideline ("Compliant", "Violations", "Deviations").
      • Note: The Deviations status is only shown when the database has been build with a configuration to report deviated alerts and analyzed with a deviation alert suppression query. The section on Deviation records outlines how this can be achieved.
  • An Analysis Integrity Report which summarizes any issues that were identified in the creation of the database, which can be reviewed to determine the extent to which these issues may have impacted the generated results. This includes:
    • A list of recoverable errors, where a specific piece of syntax was not handled, but the error could be recovered from. These a further sub-divided into "user code" errors and "third-party" errors.
    • A list of unrecoverable errors, which affect either entire files or entire compilations. These are also further sub-divided into "user code" errors and "third-party" errors.
    • A list of the files analyzed.
  • A Deviations Report which reports the deviation records that where included during the creation of the database, which can be used to audit the applied deviations. The includes:
    • A table of deviation records for which we list:
      • An identifier for the coding standards rule the deviation applies to.
      • The query identifier that implements the guideline.
      • An inferred scope that shows the files or code-identifier the deviation is applied to.
      • A textual description of the scope when the deviation can be applied.
      • A textual justification of the deviation.
      • A textual description of background information.
      • A textual description of the requirements which must be satisfied to use the deviation.

Applying deviations

The CodeQL Coding Standards supports the following features from the MISRA Compliance 2020 document:

  • Deviation records - an entry that states a particular instance, or set of instances, of a rule should be considered permitted.
  • Deviation permit - an entry that provides authorization to apply a deviation to a project.
Deviation records

The current implementation supports deviation records to state that a particular instance, or set of instances, of a rule should be considered permitted. A deviation record can be specified in a coding-standards.yml configuration file in the repository and applies to source files in that directory and sub-directories unless explicitly scoped using a paths or code-identifier property.

The deviation mechanism, by default, works by excluding alerts for which there exists an associated deviation record, with exclusion being defined as not reporting the alert. This default behavior can be changed by specify the top level property report-deviated-alerts: true in any coding-standards.yml that is added to the database. This property can be combined with the query path/to/codeql-coding-standards/cpp/common/src/codingstandards/cpp/deviations/DeviationsSuppression.ql that can be added to a CodeQL database analyze command to generate suppression information that is added to the resulting SARIF output in the form of suppressions that is part of result object. The rational for the default behavior is that GitHub Code Scanning does not support the suppressions property of a result object and displays the alert even though it is suppressed.

Note: It is important to create a database with the property report-deviated-alerts: true set and analyzed with the alert suppression query path/to/codeql-coding-standards/cpp/common/src/codingstandards/cpp/deviations/DeviationsSuppression.ql when the Guideline Compliance Summary Report must include deviation statuses!

The current implementation of the coding-standards.yml specification supports the deviations section with the following keys:

  • rule-id - An identifier for the coding standards rule the deviation applies to. This matches the rule id format specified in the documentation (e.g., A1-0-1)
  • query-id - An identifier for the query (as specified by the @id property of the query) that can be used to specify a deviation for sub-category of rule (as defined by a query). If the query-id is specified , the rule-id property should also be specified.
  • justification - An short textual justification of the deviation.
  • scope - An optional short textual description of when this deviation can be applied. This will be combined with any automatically deduced scope for the deviation.
  • background - Any relevant background information.
  • requirements - One or more requirements which must be satisfied to use this deviation.
  • paths - An optional set of paths, relative to the deviations file, specify either a directory or file to which this deviation should be applied.
  • code-identifier - An optional identifier which can be placed in the source code at locations where this deviation should be applied.
  • permit-id - An optional identifier which links to a deviation permit, from which some of the properties can be inherited.
  • raised-by - A compact mapping, if specified requires the specification of approved-by, that includes:
    • name - The name, handle or other identifier of the user who raised the request
    • date - The date on which they raised the request.
  • approved-by - A compact mapping, if specified requires the specification of raised-by, that includes:
    • name - The name, handle or other identifier of the user who approved the request
    • date - The date on which they approved the request.

The following code snippet provides an example of a deviations specification.

deviations:
- rule-id: "A18-1-1"
  query-id: "cpp/autosar/c-style-arrays-used"
  justification: "C-style arrays are required for compatibility with the X third-party library."
- rule-id: "A18-5-1"
  query-id: "cpp/autosar/functions-malloc-calloc-realloc-and-free-used"
  justification: "malloc used in adopted code."
  paths:
    - "foo/bar"
- rule-id: A0-4-2
    justification: "long double is required for interaction with third-party libraries."
    code-identifier: a-0-4-2-deviation

The example describes three ways of scoping a deviation:

  1. The deviation for A18-1-1 applies to any source file in the same or a child directory of the directory containing the example coding-standards.yml.
  2. The deviation for A18-5-1 applies to any source file in the directory foo/bar or a child directory of foo/bar relative to the directory containing the coding-standards.yml.
  3. The deviation for A0-4-2 applies to any source element that has a comment residing on the same line containing the identifier specified in code-identifier.

The activation of the deviation mechanism requires an extra step in the database creation process. This extra step is the invocation of the Python script path/to/codeql-coding-standards/scripts/deviations/process_coding_standards_config.py that is part of the coding standards code scanning pack. The script should be invoked as follows:

codeql database create --language cpp --command 'python3 path/to/codeql-coding-standards/scripts/deviations/process_coding_standards_config.py' --command <build_command> <output_database_name>

The process_coding_standards_config.py has a dependency on the package pyyaml that can be installed using the provided PIP package manifest by running the following command:

pip install -r path/to/codeql-coding-standards/scripts/deviations/requirements.txt

Deviation permit

The current implementation supports deviation permits as described in the MISRA Compliance:2020 section 4.3 Deviation permits.

Deviation permits are a mechanism to simplify the documentation of many deviations by allowing deviation records to inherit properties from a deviation permit. A deviation record can inherit the following properties that are documented in the section on Deviation records:

  • rule-id
  • query-id
  • justification
  • scope
  • background
  • requirements
  • code-identifier

A deviation permit must be specified in a deviation-records section part of a coding-standards.yml file that must be anywhere in the source repository. Every deviation permit must specify a free-form permit-id property that must contain a globally unique identifier and may specify any of the allowed properties listed above.

The following example illustrate a possible deviation permit:

deviation-permits:
  - permit-id: dp1
    rule-id: "A18-1-1"
    query-id: "cpp/autosar/c-style-arrays-used"
    justification: "C-style arrays are required for compatibility with the X third-party library."

A deviation record can refer to a deviation permit by specifying a property permit-id with the unique identifier of the deviation permit. The following example illustrates a possible deviation record that inherits the rule-id, query-id, and justification properties from the deviation permit dp1 and states that it applies to the path foo/bar through the paths property of the deviation record.

deviations:
  - permit-id: dp1
    paths:
      - foo/bar

Inheritance priority: Any property specified in a deviation permit that is also specified in a deviation record referring to that deviation permit is overwritten by the property in the deviation record.

For example, the following deviation record and deviation permit both specify the justification property. The justification property of the deviation records takes precedence.

deviation-permits:
  - permit-id: dp2
    justification: "C-style arrays are required for compatibility with the X third-party library."
deviations:
  - rule-id: "A18-1-1"
    query-id: "cpp/autosar/c-style-arrays-used"
    permit-id: dp2
    justification: "C-style arrays are required."

Importing permits: The used deviation permits must be present in the source directory during the build of the CodeQL database. Unlike deviation records their location in the source directory does not impact their scope which is determined solemnly by the deviation records referring to the deviation permits.

This means that deviation permits can be made available at build time by any means available. An example of importing deviation permits is through a Git Submodule that contains a repository of allowed deviation permits.

GitHub Advanced Security and LGTM

The only use cases that will be certified under ISO 26262 are those listed above. CodeQL Coding Standards is also compatible with, but not certified for, the following use cases:

  • Creating databases and running the CodeQL Coding Standards queries with the CodeQL Action (for GitHub Actions CI/CD system).
  • Uploading the SARIF results files for a CodeQL Coding Standards analysis to the GitHub Code Scanning feature.
  • Deployment of the default CodeQL Coding Standards queries as a custom query pack for LGTM.

Hazard and risk analysis

This section describes known failure modes for "CodeQL Coding Standards" and describes the impact, how the issue can be identified and what remediation steps can be followed to address the issue.

Use case Failure mode Effect Protective/detective measure Remediation
Installing CodeQL Standard library not installed in the correct location. Less output. The queries relying on the standard library cannot compile and not be executed. Verify the availability of the required codeql/cpp-all QL pack with the command codeql resolve qlpacks or use a supported CodeQL bundle Ensure a supported CodeQL bundle is used.
Incompatible standard library installed. Less output. The queries relying on a certain standard library version cannot compile and not be executed. Use a supported CodeQL bundle Ensure a supported CodeQL bundle is used.
CodeQL installation modified (e.g., removing all extractors except for the cpp extractor) Less output. Functionality such as reporting or the deviation mechanism relying on the availability of extractors other than the C++ extractor will fail. Verify the availability of the required codeql/cpp-all QL pack with the command codeql resolve qlpacks and the availability of the cpp & xml extractors using the codeql command codeql resolve extractor --language=cpp & codeql resolve extractor --language=xml Ensure a supported and unmodified CodeQL bundle is used. To prevent the downloading of the CodeQL bundle to dominate the total analysis time ensure it is available on the machine used to perform the analysis.
Standard library modified Less or more output. Results are reported that are not violations of the guidelines or guideline violations are not reported Use the available CodeQL and CodeQL Coding Standards unit test to determine the queries work as expected with the provided standard library. Ensure a supported and unmodified CodeQL bundle is used. To prevent the downloading of the CodeQL bundle to dominate the total analysis time ensure it is available on the machine used to perform the analysis.
Incompatible runtime environment (e.g., musl-c) Less output. Unable to observe compilation invocations preventing analysis. Analysis integrity report lists all analyzed files, and must be crossed referenced with the list of files that are expected to be analyzed. Ensure a supported operating system is used and that the CodeQL requirements are met as listed on https://codeql.github.com/docs/codeql-overview/supported-languages-and-frameworks/
Generating a CodeQL database Compiler invocations are not observed Less output. Unable to observe compilation invocations preventing analysis. Analysis integrity report lists all analyzed files, and must be crossed referenced with the list of files that are expected to be analyzed. Ensure that the build system is not caching previous compilations (for example, using ccache or bazel) and that a supported compiler is being used. Issues can be reported via the CodeQL Coding Standards bug tracker.
Failure while processing a file or compilation Less output. Some files may be only be partially analyzed, or not analyzed at all. Analysis integrity report lists the failures identified. Recoverable errors impact only the specified portion of the code and anything that relies on it. Unrecoverable errors impact the specified file or compilation unit, and may impact other files whose analysis relies on that information. Issues can be reported via the CodeQL Coding Standards bug tracker.
Build command exits non-zero Less output. No CodeQL database is created. Error reported on the command line. The underlying user provided build command failed. Ensure the build command succeeds outside of the CodeQL CLI.
Incremental build Less output. Some files may not be analyzed because they are not observed during the compilation process. Analysis integrity report lists all analyzed files, and must be crossed referenced with the list of files that are expected to be analyzed. Ensure that the build system is configured to build from a clean state and disabled the use of a shared build cache.
Distributed build Less output. Some files may not be analyzed because they are not observed during the compilation process. Analysis integrity report lists all analyzed files, and must be crossed referenced with the list of files that are expected to be analyzed. Ensure that the build system is configured to build locally. CodeQL does not support distributed builds.
Containerized build Less output or normal output. If misconfigured CodeQL will be unable to observe compilation invocations preventing analysis. Error reported on the command line. CodeQL will either report the error No source code was seen during the build or exit with code 32 indicating that CodeQL was unable to monitor your code Ensure CodeQL is configured to run in the container during the build as documented at https://docs.github.com/en/code-security/code-scanning/automatically-scanning-your-code-for-vulnerabilities-and-errors/running-codeql-code-scanning-in-a-container
Out of memory Less output. No analysis results are produced Error reported on the command line. Increase memory, configure the CodeQL CLI to adhere to a memory limit, or report memory consumption issues via the CodeQL Coding Standards bug tracker.
Timeout Less output. No analysis results are produced Analysis fails to complete, or is killed after a given time. Report timeout issues via the CodeQL Coding Standards bug tracker.
Use of unsupported compiler Less output. Some files may be only be partially analyzed, or not analyzed at all. Error reported on the command line. If no error is reported the analysis integrity report lists all analyzed files, and must be crossed referenced with the list of files that are expected to be analyzed. Ensure only compilers listed at https://codeql.github.com/docs/codeql-overview/supported-languages-and-frameworks/ are used.
Use of incorrect build command Less output. Some files may be only be partially analyzed, or not analyzed at all. Analysis integrity report lists all analyzed files, and must be crossed referenced with the list of files that are expected to be analyzed. Ensure the build command corresponds to the build command that is used to build the release artifacts.
Incorrect build environment (e.g., concurrent builds writing to same file, overwriting translation unit/object file with different content) Less or more output. Results are reported that are not violations of the guidelines or guideline violations are not reported All reported results must be reviewed. Ensure the build environment is configured to not use shared resources such as caches or artifact providers that can introduce race conditions. Report inconsistent results via the CodeQL Coding Standards bug tracker.
Source root misspecification Less output. The results cannot be correctly correlated to source files when viewing the resulting Sarif file in a Sarif viewer. Verify that the reported results are display on the correct files in the Sarif viewer Ensure the CodeQL CLI configured to use the correct source root that correspond to the root of the repository under consideration.
Ouf of space Less output. Some files may be only be partially analyzed, or not analyzed at all. Error reported on the command line. Increase space. If it remains an issue report space consumption issues via the CodeQL Coding Standards bug tracker.
False positives More output. Results are reported which are not violations of the guidelines. All reported results must be reviewed. Report false positive issues via the CodeQL Coding Standards bug tracker.
False negatives Less output. Violations of the guidelines are not reported. Other validation and verification processes during software development should be used to complement the analysis performed by CodeQL Coding Standards. Report false negative issues via the CodeQL Coding Standards bug tracker.
Modifying coding standard suite More or less output. If queries are added to the query set more result can be reported. If queries are removed less results might be reported. All queries supported by the CodeQL Coding Standards are listed in the release artifacts supported_rules_list_VERSION.csv where VERSION is replaced with the used release. The rules in the resulting Sarif file must be cross-referenced with the expected rules in this list to determine the validity of the used CodeQL suite. Ensure that the CodeQL Coding Standards are not modified in ways that are not documented as supported modifications.
Incorrect deviation record specification More output. Results are reported for guidelines for which a deviation is assigned. Analysis integrity report lists all deviations and incorrectly specified deviation records with a reason. Ensure that all deviation records are correctly specified. Ensure that the deviation record is specified according to the specification in the user manual.
Incorrect deviation permit specification More output. Results are reported for guidelines for which a deviation is assigned. Analysis integrity report lists all deviations and incorrectly specified deviation permits with a reason. Ensure that all deviation permits are correctly specified. Ensure that the deviation record is specified according to the specification in the user manual.
Unapproved use of a deviation record Less output. Results for guideline violations are not reported. Validate that the deviation record use is approved by verifying the approved-by attribute of the deviation record specification. Ensure that each raised deviation record is approved by an independent approver through an auditable process.
Incorrect database. The information extracted by the CodeQL extractor deviates from what the compiler extracts resulting in an incorrect model of the source-code. More or less output. Incorrect extraction can result in false positives or false negatives. Combinations of supported compilers and CodeQL CLIs are tested against a provided suite of test cases and a coding standards specific test suite to determine if the extracted information deviates from the expected information. Report incorrect database issues via the CodeQL Coding Standards bug tracker.

Reporting bugs

A bug tracker is provided on the github/codeql-coding-standards repository issues page. New issues can be filed on the New Issues page.