Automated Software Testing Script Generation via NLP

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Solution Overview

Problem

Manual software testing is time-consuming, error-prone, and delays software development due to the need for extensive manual effort in generating testing scripts, which are often generated late in the Software Testing Lifecycle (STLC), leading to inefficiencies and increased testing time.

Innovation Solution

A system and method that automatically generates software testing scripts from test cases using Natural Language Processing (NLP) to identify UI elements, functional flow models, and test steps, integrating with existing tools and reporting systems, and utilizing AI for analytical reasoning and script generation, enabling early automation and reusability of testing scripts.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If manual testing scripts are generated, then testing coverage can be ensured, but time consumption and error rate increase significantly

Engineering Contradiction:

Improvetesting coverageVSAvoidtime consumption

Core Design Contradiction:

ReliabilityVSLoss of time

Solution Approach 1:

The patent replaces manual mechanical script generation with an automated system that uses NLP to parse test case documents and AI models to generate testing scripts. The system automatically extracts test case information, identifies UI elements, and generates executable scripts without manual intervention, thereby maintaining comprehensive testing coverage while significantly reducing time consumption and human error.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The testing system performs self-service by automatically generating its own testing scripts from test case documents. The NLP module processes the test case text, the AI model generates the scripts, and the system executes them autonomously, eliminating the need for manual script writing and reducing both time investment and error rates while ensuring complete testing coverage.

Inventive Principle:

Principle #25Self-service

2Reliability

If manual testing scripts are generated late in STLC, then testing can be performed, but development time is delayed

Engineering Contradiction:

Improvetesting executionVSAvoiddevelopment speed

Core Design Contradiction:

ReliabilityVSProductivity

Solution Approach 1:

The patent enables preliminary action by generating testing scripts automatically during the design phase of STLC, before actual testing execution. The system processes test case documents and generates executable scripts in advance, allowing testing activities to be prepared early and executed efficiently later, thereby maintaining testing reliability while accelerating overall development speed.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The automated NLP-based system replaces manual script generation that occurs late in STLC with early automated script creation. The system processes test case information and generates executable scripts during the design phase, eliminating the time delay associated with manual generation in later stages and thereby maintaining testing execution reliability while significantly improving development productivity.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

3Reliability

If testing scripts are manually generated, then testing requirements can be met, but manual effort and complexity increase

Engineering Contradiction:

Improvetesting requirements coverageVSAvoidmanual effort

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The patent substitutes complex manual script generation with an automated NLP-based system that automatically processes test case documents, identifies requirements, and generates testing scripts. This replacement eliminates the complex manual effort required while maintaining comprehensive coverage of testing requirements through systematic automated analysis and script generation.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The testing system performs self-service by automatically analyzing test case documents, extracting requirements, and generating executable scripts without manual intervention. The NLP module processes the documents, the AI model generates the scripts, and the system executes them autonomously, thereby meeting all testing requirements while eliminating the complexity and manual effort associated with traditional script generation.

Inventive Principle:

Principle #25Self-service

Data Source

PatentUS10509718B2System and method for automatically generating software testing scripts from test cases

Publication Date: 2019.12.17 COGNIZANT TECH SOLUTIONS INDIA PVT LTD

AI summary

A system and computer-implemented method for generating software testing scripts from test cases is provided. The system comprises a test case importing module configured to receive test cases and a Natural Language Processing (NLP) module configured to scan and mine text of the received test cases. Furthermore, the system comprises a user interface object identifier to identify one or more User Interface (UI) elements, functional flow models and test steps and corresponding test data. The system also comprises a user interface object mapper to map the one or more identified UI elements from the test cases with one or more user interface elements corresponding to one or more wireframes. In addition, the system comprises a test script generator to receive the mapped one or more UI elements, the identified functional flow models and the identified test steps and corresponding test data for generating test scripts.