Software optimization method, apparatus, and non-volatile storage medium

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By acquiring multi-dimensional test data of the target software, calculating the iteration impact index, environmental stability index, and test case failure severity index, and generating defect suspicion and repair priority scores, this solves the problem of software testing optimization strategies being out of touch with field requirements in existing technologies, and achieves efficient defect repair and resource utilization.

CN122309374APending Publication Date: 2026-06-30STATE GRID BEIJING ELECTRIC POWER CO +1

Patent Information

Authority / Receiving Office: CN · China
Patent Type: Applications(China)
Current Assignee / Owner: STATE GRID BEIJING ELECTRIC POWER CO
Filing Date: 2026-03-31
Publication Date: 2026-06-30

AI Technical Summary

Technical Problem

Existing software testing optimization methods rely on historical data and preset rules, ignoring the dynamic changes in software iteration and the dynamic fluctuations in the testing environment. This leads to a disconnect between optimization strategies and on-site requirements, unreasonable resource allocation, high misjudgment rates, and difficulty in improving testing efficiency in agile development and high-concurrency environments.

Method used

By acquiring multi-dimensional test data of the target software, calculating the iteration impact index, environmental stability index, and test case failure severity index, generating defect suspicion score and repair priority score, dynamically adjusting test optimization strategy, accurately identifying high-risk defects and prioritizing their repair.

Benefits of technology

This approach achieves close alignment between software optimization strategies and the current iteration pace and environmental fluctuations, improving the accuracy, timeliness, and resource utilization efficiency of defect optimization, reducing the false positive rate, and increasing testing efficiency.

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Abstract

This invention discloses a software optimization method, apparatus, and non-volatile storage medium. The method includes: acquiring a test data set of the target software; calculating, based on the test data set, an iteration impact index, an environmental stability index, and a test case failure severity index for each of multiple test samples; calculating, based on the iteration impact index, environmental stability index, and test case failure severity index, the defect suspicion degree for each of the multiple test samples; identifying multiple target defect samples from the multiple test samples; calculating, for each of the multiple target defect samples, a repair priority score, generating a repair priority sequence; and performing repair optimization on the target software based on the repair priority sequence. This invention solves the technical problem that current software test optimization relies on historical data and preset rules, neglecting the dynamic changes in software iteration and the dynamic fluctuations of the test environment, leading to a disconnect between optimization strategies and on-site requirements.

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