The Digital Wild West - Part Two
1 month ago
Regulation?

The problem has been framed in part one, the programming industry, including PHP,  mostly operates in an unregulated environment, resulting in unpredictable skill levels, lack of oversight, and potential for severe consequences. This environment fosters distrust among developers, inconsistency in code quality, and exposes businesses and users to unreasonable levels of risks.

The most obvious solution is regulation. If we look at examples in history, in many cases regulations were only implemented as a response to scandal and public outcry (look at what is happening with proposed and implemented social media laws) and are rarely in the control of the individuals that work within the industry.

Point in case, before the establishment of the FDA (Food and Drug Administration) in America, the food industry was mostly unregulated, unlicensed and chaotic. I believe it is inevitable that an equivalent department for programming will eventually be founded,  its purpose would be to serve as an independent regulatory body to oversee and ensure the safety, reliability, and ethical practices of software development and deployment. But as of writing, no such department exists, in any country it would seem. 

Therefore, the problem with waiting for regulation to be imposed upon an industry is that it'll be implemented by bureaucrats and probably, as with a lot of tech legislation, badly thought through and not addressing the root problem. (look at GDPR, too little, too late) 

The Proposition 

My proposition is we get ahead of the game, introduce self regulation and establish an independent body to act as a trusted authority to improve the PHP ecosystem by driving standardization, accountability, and excellence.

The proposed independent body would provide rigorous bi-annual audits for companies, with PHP codebases, paid on a subscription basis, assessing PHP codebases against standardized, versioned criteria to ensure quality, security, and reliability. Alongside this, the independent body would offer affordable or free accreditation for individuals, enabling developers to demonstrate their proficiency in PHP best practices through tiered certifications tied to evolving industry standards, while maintaining low barriers to entry. 

The organization would also establish a professional membership program, granting members access to exclusive resources, networking opportunities, and professional development, while fostering a community of accredited PHP professionals committed to excellence. This initiative would promote standardization, improve software quality, and build trust across the industry by addressing both corporate and individual needs, ensuring inclusivity and continuous improvement in the ever-evolving field of PHP.

The Codebase Grading System

The codebase grading system is a standardized assessment  for evaluating PHP software based on predefined criteria such as code quality, security, reliability, maintainability, and adherence to best practices. Using versioned standards that evolve with industry trends, the system grades software through a combination of automated tools, manual audits, and structured scoring for each category. Each audit results in a detailed report highlighting strengths, weaknesses, and actionable recommendations, along with an overall grade (e.g., A-F) that reflects the software's adherence to professional standards. This outcome provides businesses with a clear understanding of their software's quality and areas for improvement while offering a certificate that can enhance trust and credibility with stakeholders.


1. Code Quality (22%)

1.1 Adherence to Standards:

  • A: Fully adheres to established standards, including PSRs (e.g., PSR-12, PSR-4), SOLID principles, DRY (Don’t Repeat Yourself), and KISS (Keep It Simple, Stupid) throughout the codebase.
  • B: Mostly adheres, with minor deviations in applying PSRs, SOLID, DRY, or KISS principles.
  • C: Partial adherence, with noticeable areas lacking standardization or deviating from key principles.
  • F: Little or no adherence to established standards, resulting in a chaotic or inconsistent codebase.


1.2 Complexity Management:

  • A: Functions and methods are simple, modular, and maintainable, with low cyclomatic complexity across the codebase.
  • B: Complexity is generally well-managed but includes some overly complex or tightly coupled areas.
  • C: Significant complexity issues, such as long methods, deep nesting, or tight coupling, are prevalent.
  • F: The codebase is highly complex and difficult to maintain or extend, with poor modularity and excessive coupling.


1.3 Use of Modern PHP Features:

  • A: Fully utilizes modern PHP capabilities (e.g., strict typing, attributes, enums, named arguments) while avoiding deprecated practices.
  • B: Mostly uses modern features but occasionally relies on older techniques.
  • C: Limited adoption of modern PHP features, with noticeable reliance on outdated or deprecated practices.
  • F: Relies heavily on legacy PHP features, ignoring modern capabilities.


1.4 Quality Tooling:

  • A: Actively uses and integrates quality tooling for static analysis, refactoring, and coding standards enforcement, with configurations tailored to the project.
  • B: Includes some quality tooling but lacks comprehensive integration or consistent usage.
  • C: Minimal tooling is used, and it is inconsistently applied or poorly configured.
  • F: No automated quality tooling is integrated into the project.


2. Security (22%)


2.1 Security Best Practices:

  • A: Comprehensive implementation of secure coding practices, addressing common vulnerabilities and aligning with modern security standards.
  • B: Strong security practices with minor gaps or outdated implementations.
  • C: Partial adherence to security practices, with noticeable weaknesses in key areas.
  • F: Minimal or no security measures implemented, leaving significant vulnerabilities.


2.2 Vulnerability Management:

  • A: Actively monitors and addresses known vulnerabilities through regular updates, patches, and proactive risk management.
  • B: Addresses most vulnerabilities but with some delays or occasional gaps in coverage.
  • C: Inconsistent vulnerability management, with slow response times or missed updates.
  • F: Neglects vulnerability management, with critical risks unaddressed.


2.3 Security Testing and Monitoring:

  • A: Integrates robust security testing and monitoring tools, with processes for regular audits and proactive threat detection.
  • B: Employs security testing and monitoring, but coverage is incomplete or irregular.
  • C: Minimal use of security testing, with significant blind spots.
  • F: No security testing or monitoring in place.


3. Reliability (18%)

3.1 Error Resilience:

  • A: The software handles errors gracefully, maintaining stability and providing clear feedback to users and developers.
  • B: Mostly resilient, but some edge cases or non-critical errors may cause instability.
  • C: Basic error handling with significant gaps in resilience under unusual conditions.
  • F: Poor or nonexistent error handling, leading to crashes or undefined behavior.


3.2 Testing Practices:

  • A: Thorough and consistent testing ensures reliable operation, with well-maintained test suites that cover critical functionality.
  • B: Adequate testing with some gaps in coverage or outdated tests.
  • C: Limited or inconsistent testing practices, with noticeable risks of undetected bugs.
  • F: No meaningful testing in place, leading to frequent failures.


3.3 Operational Stability:

  • A: Demonstrates strong stability under expected and high-load conditions, with minimal downtime or disruptions.
  • B: Generally stable but may exhibit minor issues under stress.
  • C: Limited stability, with noticeable disruptions or performance degradation under normal conditions.
  • F: Frequent instability, crashes, or downtime.


4. Performance and Scalability (12%)

4.1 Efficiency:

  • A: The software operates efficiently under normal conditions, with optimal resource usage and responsive performance.
  • B: Generally efficient, but occasional bottlenecks or resource inefficiencies are present.
  • C: Noticeable inefficiencies under normal use, leading to slower response times or higher resource consumption.
  • F: Poor performance, with frequent delays, unresponsiveness, or excessive resource usage.


4.2 Scalability:

  • A: Designed to scale seamlessly to handle increased load or usage without significant degradation in performance.
  • B: Scales adequately for moderate increases in load but may struggle with significant surges.
  • C: Limited scalability, with performance degradation under higher-than-expected loads.
  • F: Not scalable, with significant failures or performance breakdowns under increased load.


4.3 Load Handling:

  • A: Demonstrates high stability and responsiveness under stress testing or peak load conditions.
  • B: Generally stable under load but with minor issues or occasional slowdowns.
  • C: Significant instability or degradation during high-load conditions.
  • F: Crashes or fails consistently under heavy load.


5. Maintainability (12%)


5.1 Modularity and Reusability:

  • A: Codebase is highly modular, with well-defined components and reusable functionality, enabling easy updates and extensions.
  • B: Generally modular, but some areas are harder to reuse or extend.
  • C: Limited modularity, with tightly coupled components that hinder reusability.
  • F: Poor modularity, making updates and extensions difficult and error-prone.


5.2 Documentation Quality:

  • A: Comprehensive and up-to-date documentation, including clear instructions for setup, maintenance, and contributions.
  • B: Adequate documentation covering most areas but with some minor gaps or outdated sections.
  • C: Limited documentation with significant omissions or unclear explanations.
  • F: No meaningful documentation, making it hard to understand or maintain the codebase.


5.3 Adaptability to Change:

  • A: The codebase is designed to accommodate future changes, with minimal risk of introducing instability.
  • B: Mostly adaptable, with some challenges in implementing significant changes.
  • C: Limited adaptability, requiring extensive effort to modify for new requirements.
  • F: Rigid and brittle, with changes likely to introduce significant risks or failures.


6. Ethical Practices (10%)

6.1 Data Privacy and Security:

  • A: Fully compliant with relevant data privacy regulations (e.g., GDPR) and implements strong measures to protect user data.
  • B: Generally compliant, with minor gaps in privacy practices or data security.
  • C: Noticeable gaps in compliance or weak protections for user data.
  • F: Non-compliant or exposes user data to significant risks.


6.2 Transparency:

  • A: Provides clear, accessible information about system functionality, data collection, and user rights.
  • B: Mostly transparent, with some minor ambiguities or missing details.
  • C: Significant lack of clarity in explaining system behavior or data usage.
  • F: Misleading or opaque, with no meaningful effort to inform users.


6.3 Inclusivity and Accessibility:

  • A: Fully inclusive, accommodating diverse user needs, and adheres to accessibility standards (e.g., WCAG).
  • B: Generally inclusive and accessible but with minor areas for improvement.
  • C: Limited inclusivity or accessibility features, with noticeable gaps.
  • F: No consideration for inclusivity or accessibility, excluding significant user groups.


7. Malicious Code Detection (15%)


7.1 Absence of Malicious Code:

  • A: The codebase is thoroughly reviewed, with no evidence of malicious, unauthorized, or harmful code (e.g., backdoors, data exfiltration).
  • B: The codebase is clean, with minor concerns flagged that do not indicate malicious intent but require review.
  • C: Potentially harmful or questionable code patterns are present, raising concerns about security.
  • F: Known malicious code, backdoors, or unauthorized tracking mechanisms are detected.


7.2 Dependency Security:

  • A: All dependencies are vetted, up-to-date, and free of known vulnerabilities, with proactive monitoring in place.
  • B: Most dependencies are secure, with minor outdated libraries or known issues flagged for resolution.
  • C: Dependency management is inconsistent, with significant outdated or vulnerable components.
  • F: The codebase relies on deprecated or insecure dependencies, posing major security risks.


7.3 Integrity and Transparency:

  • A: The codebase is fully transparent, with clear documentation, no obfuscation, and verifiable integrity.
  • B: Mostly transparent, with minor areas of unclear or obfuscated code that require further inspection.
  • C: Noticeable obfuscation or lack of transparency, making the code harder to review or trust.
  • F: Deliberate obfuscation or tampering that obscures intent and raises significant red flags about trustworthiness.


What is the result?
  1. Each subcategory is graded (A-F, converted to numeric scores).
  2. Scores are averaged within each category.
  3. Weighted contributions are calculated based on category weights.
  4. The final score is the sum of weighted contributions, resulting in an overall grade.

Each codebase that completes the assessment would be assigned a letter rating (like with energy rating) A,B,C,D,E or F. A being the highest possible score and F being the lowest. 

 
Score Range Rating (Grade) Description
| 90–100  | A  | Excellent: Exceeds expectations, no major issues.
| 80–89  | B  | Good: Meets expectations with minor gaps.
| 70–79  | C  | Fair: Partially meets expectations, noticeable weaknesses.
| 60–69  | D  | Poor: Significant deficiencies, below standards.
| Below 60  | F  | Failing: Does not meet standards, unacceptable quality.

And example audit result would look like this: 


Category Weight (%) Average Score Weighted Contribution
| 1. Code Quality  | 22  | 85  | 18.7
| 2. Security  | 22  | 88.33  | 19.43
| 3. Reliability  | 18  | 85  | 15.3
| 4. Performance & Scalability  | 12  | 81.67  | 9.8
| 5. Maintainability  | 12  | 85  | 10.2
| 6. Ethical Practices  | 10  | 91.67  | 9.17
| 7. Malicious Code Detection  | 15  | 85  | 12.75
Final Weighted Grade 95.35 (Grade A)

The aftereffect
The desired aftereffect of establishing this independent body and grading system is to help transform the PHP development ecosystem into a professional, standardized, and secure environment. By establishing universally recognized benchmarks for PHP quality, security, and maintainability, it promotes higher standards across the industry while empowering developers with accessible certifications and professional recognition. Businesses gain trust and credibility through transparent audits and certifications, helping them mitigate risks, reduce costs, and differentiate in the market. The system fosters accountability, continuous improvement, and ecosystem maturity, enhancing the reputation of PHP as a reliable and professional technology for modern software solutions.