A Real-Time Detection Method of Software Configuration Errors Based on Fine-Grained Configuration Item Types

With the continuous expansion of software scale and the continuous complexity of software functions, abnormal parameter configuration often brings adverse effects to the software system and even leads to system failure. Therefore, a method is needed to detect whether the parameter configuration is correct. Most of the current configuration errors detection methods focus on the passive diagnosis after the system failure, which cannot solve the potential delay problem of configuration error. This paper proposes an automatic real-time detection method of software configuration errors, in which the configuration items are classified based on the fine-grained configuration item types and related syntax patterns, and the configuration constraint rule base is generated. Then, the real-time exception detection of configuration update operation is realized by using the file operation monitoring function. The experimental results show that this method can accurately classify the types of configuration items and verify the effectiveness of detecting software configuration update exceptions in real time through the constraint rule base. The classification accuracy reaches up to 90.4% on MySQL and 87.4% on Apache.