Conformance vs. Compliance: What‘s the Difference?

本文探讨了合规与符合标准之间的区别,解释了制造业中遵循外部规定的重要性,并介绍了自愿遵循内部及第三方标准的情况。

Conformance vs. Compliance: What's the Difference?

Many companies, regardless of industry, operate under guidelines, standards, or regulations. A governing body or authority may establish these regulations, and the company may be legally required to follow them or voluntarily agree to meet these standards. When considering the regulations or standards your company must meet, you may have wondered—conformance vs. compliance: what’s the difference?

Occasionally these words are used interchangeably, and some believe they are synonymous; this, however, is not true, and there are some important distinctions to note.

Generally speaking, compliance refers to the mandatory requirements a company must meet that are established by an external organization, authority, or governing jurisdiction. While compliance is more formal and a legal requirement, conformance is voluntary. Conformance refers to the norms, expectations, standards, and policies that a company abides by. These may be established by the company itself or by another organization.

If we look at conformance vs. compliance through the lens of a manufacturing company like Applied Engineering (AE), we can better understand the difference. Depending on your jurisdiction and the items you manufacture, you may be required by various parties to have specific qualifications, certifications, and validations. This is an integral part of the manufacturing process, and you must ensure you are meeting all legal or standardized requirements. As your manufacturing service provider, AE will supply your manufacturing project with the various certifications and validations you must comply with, such as laboratory equipment qualification, cleaning validation, or computer system validations.

When manufacturing medical devices, safety and quality are not voluntary. Therefore, manufacturers must comply with several authorities. For example, in the USA, the FDA’s Centre for Devices and Radiological Health (CDRH) regulates medical device manufacturing. This includes the classification of devices, Quality System regulation, medical device listing, labeling requirements, and establishment registration.

Here is where the conformance vs. compliance confusion comes in. A third party may establish recommendations, standards, and regulations that you as an organization can volunteer to conform to. This could then become a matter of compliance if you choose to seek certification.

For example, the International Organization for Standardization ISO 9001 outlines the requirements for a quality management system. To conform, manufacturing plants must have a quality management system that can then be certified and audited by an independent certification body. Although it is not required, it is recommended that manufacturers choose to abide, just as AE has. That said, if you opt to receive certification, you must then continue to comply with the set guidelines to remain certified.

The consequences of noncompliance can be dire as it could ruin your reputation or prevent you from operating. It can also have extreme financial repercussions or worse. Regulatory pressure is at an all-time high, so your manufacturing firm must be just as committed to compliance as you are. Bottom line, to ensure quality manufacturing and that you are meeting all legal requirements, use a manufacturer who will ensure compliance and conformance with the necessary industry standards.

<think>好的,用户遇到了Bazel构建时的包加载错误,特别是关于.bzl文件和BUILD文件缺失的问题。我需要先理解这些错误通常是由什么引起的。根据经验,Bazel在构建时如果找不到对应的BUILD文件,或者相关的.bzl文件加载路径不正确,就会报这类错误。首先,可能的原因包括BUILD文件确实不存在、路径设置错误、依赖未正确下载,或者Bazel的版本不兼容。 接下来,我需要回忆之前处理类似问题的解决方法。比如,用户之前在TensorFlow构建时遇到依赖工具缺失的问题,通过安装curl、autoconf等解决了。这可能说明环境配置问题常见,所以检查系统依赖是否满足是第一步。 然后,针对BUILD文件缺失,用户需要检查对应的目录是否存在BUILD文件,或者是否被错误删除。如果使用第三方库,可能需要执行仓库初始化命令,比如bazel fetch或bazel sync来下载依赖。此外,Bazel的工作区(WORKSPACE)文件是否正确配置了外部依赖,这也是关键点。 另外,Bazel版本的问题也可能导致兼容性错误,检查是否需要升级或降级Bazel版本。清理缓存(bazel clean --expunge)有时也能解决残留文件导致的问题。如果问题出在第三方依赖,可能需要手动检查其仓库的构建文件结构是否有变动。 最后,结合用户提供的引用[^1],安装必要的构建工具如curl、autoconf等可能是解决环境问题的前提,确保所有构建步骤依赖的工具都已正确安装。综合这些思路,整理出一个分步骤的解决方案,帮助用户系统地排查和解决问题。</think>关于Bazel构建时出现的包加载错误(error loading package / missing .bzl / BUILD file),以下是分步解决方案: ### 一、问题诊断 1. **错误类型判断** - `Missing BUILD file`:Bazel在指定路径未找到构建定义文件 - `Failed to load .bzl file`:Starlark扩展文件加载失败 - 常见报错示例: ``` ERROR: error loading package 'tensorflow/core': could not load //tensorflow/core; BUILD file not found in any of the following directories ``` 2. **根本原因** - 路径映射错误(WORKSPACE文件配置问题) - 依赖库未正确初始化(常见于submodule或外部依赖) - Bazel版本与项目不兼容 - BUILD/.bzl文件被意外删除或损坏[^1] ### 二、解决方案 #### 步骤1:检查基础环境 ```bash # 安装必要构建工具(参考引用[1]) sudo apt-get install curl automake autoconf libtool ``` #### 步骤2:验证仓库完整性 ```bash # 确保所有子模块已初始化(适用于git仓库) git submodule update --init --recursive # 执行Bazel同步(强制更新依赖) bazel sync --configure ``` #### 步骤3:检查文件结构 ```bash # 示例:检查tensorflow/core目录是否包含BUILD文件 ls -l tensorflow/core/BUILD # 若BUILD文件缺失,尝试恢复: git checkout tensorflow/core/BUILD ``` #### 步骤4:处理外部依赖 在`WORKSPACE`文件中确认外部仓库声明: ```starlark http_archive( name = "rules_foreign_cc", sha256 = "...", urls = ["https://github.com/.../archive/main.zip"], ) ``` #### 步骤5:清理并重建 ```bash # 彻底清理缓存 bazel clean --expunge # 重新构建(添加详细日志) bazel build --subcommands //path/to:target ``` ### 三、高级排查技巧 1. **依赖可视化** ```bash bazel query --notool_deps --noimplicit_deps "deps(//main:target)" --output graph > graph.in dot -Tpng < graph.in > graph.png ``` 2. **版本验证** ```bash bazel version # 确认版本兼容性 ``` 3. **沙盒测试** ```bash bazel test --spawn_strategy=standalone //... ```
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