Dynamic Risk-Based Testing Regime for Software Code Integrity
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Solution Overview
Problem
In collaborative software development environments, managing build and program control is challenging due to inflexible access control systems and inadequate automated testing regimes, which either frustrate experienced members with excessive restrictions or allow inexperienced members to introduce errors with too much freedom.
Innovation Solution
A processor-implemented method calculates a user's risk factor based on previous activities and situational conditions to dynamically determine a testing regime, adapting the level of testing to ensure program code integrity without being too strict or lax.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If predefined user categories with rigid access control are used, then access control is simplified, but flexibility and adaptability to individual user needs deteriorates
Solution Approach 1:
The patent applies dynamics by transitioning from static predefined user categories to a dynamic risk assessment system. The system continuously calculates risk factors based on user behavior patterns, code change history, and situational context, automatically adjusting access privileges and testing regimes in real-time. This dynamic approach resolves the contradiction by maintaining simplicity while achieving high adaptability.
Solution Approach 2:
The patent changes the parameter of user classification from fixed categories to continuous risk scores. Instead of assigning users to discrete categories with rigid rules, the system uses numerical risk factors that can take any value within a range. This parameter transformation enables fine-grained control of access privileges while avoiding the complexity of managing multiple predefined categories.
2Reliability
If excessive restrictions are imposed on access control, then code integrity is improved, but ease of operation and user experience deteriorates
Solution Approach 1:
The patent implements feedback mechanisms where the system continuously monitors user behavior, code changes, and testing outcomes to refine risk assessments. Experienced members receive feedback that validates their trusted status, allowing them to work with minimal restrictions. The system automatically adjusts restrictions based on real-time performance data, resolving the contradiction between code integrity and ease of operation.
Solution Approach 2:
The patent applies local quality by tailoring access control and testing requirements to individual users based on their specific risk profiles and behavior patterns. Instead of applying uniform restrictions to all users, the system customizes control parameters for each user based on their historical performance and current context, maintaining code integrity while preserving ease of operation for trusted members.
3Ease of operation
If inadequate restrictions are imposed on access control, then ease of operation is improved, but reliability and code quality deteriorates
Solution Approach 1:
The patent applies preliminary action by implementing automated testing regimes that are triggered before code changes are merged. The system proactively identifies potential issues through risk-based test selection and execution, preventing bad code from entering the system. This preliminary testing action protects code quality while maintaining ease of operation for inexperienced members who can focus on development rather than manual testing.
Solution Approach 2:
The patent introduces automated testing as an intermediary between code development and deployment. The testing regime acts as a mediator that filters and validates code changes, protecting the main codebase from inexperienced users while allowing them to work with minimal restrictions. This intermediary layer resolves the contradiction by absorbing the complexity of quality control away from individual users.
4Device complexity
If a fixed testing regime is applied to all users, then implementation simplicity is improved, but adaptability to different user skill levels and situations deteriorates
Solution Approach 1:
The patent transforms the testing regime from a fixed binary state (pass/fail) to a dynamic continuum based on risk factors. The system adjusts testing depth, scope, and type according to calculated risk levels, enabling a single flexible testing framework to adapt to different user skill levels and situations without requiring multiple separate regimes.
Solution Approach 2:
The patent creates a universal testing regime that serves multiple functions: it provides basic validation for all users while simultaneously offering enhanced testing for high-risk scenarios. The single testing framework handles both routine and complex testing needs through risk-based configuration, eliminating the need for separate testing regimes for different user categories.
Data Source
AI summary
A processor-implemented method, system, and/or computer program product determines a testing regime for program code created in a development system. A risk factor of a user of the development system is calculated based on information relating to previous activities of the user. The calculated risk factor, which describes a likelihood of the user damaging the development system, is used to determine a testing regime for testing program code.