Device and method for classifying and searching data

A device for classifying and searching data, comprising:

• a memory configured to store computer program codes;
• a processor configured to execute the computer program codes in the memory for:
• marking classifications on a plurality of records according to data comprised by root cause fields or comment fields of the plurality of records;
• generating an index according to data comprised by synopsis fields of the plurality of records;
• marking weights on the plurality of records according to categories of data comprised by the synopsis fields of the plurality of records, wherein the processor is further configured to execute the computer program codes in the memory for:
• marking categories on data comprised by the synopsis fields, wherein the processor is further configured to execute the computer program codes in the memory for:
• analyzing data comprised by the synopsis fields to categorize the plurality of records into an element under test category, a testing action category or an error phenomenon category;
• receiving and marking corresponding weights on the plurality of records according to categories of data comprised by the synopsis fields, wherein the processor is further configured to execute the computer program codes in the memory for:
• coding the element under test category, the testing action category, and the error phenomenon category;
• marking a code on the plurality of records according to categories of data comprised by the synopsis fields, wherein the processor is further configured to execute the computer program codes in the memory for:
• calculating a first vector according to the code on the plurality of records;
• and
• marking the first vector on the plurality of records according to categories of data comprised by the synopsis fields;
• utilizing the index for searching a plurality of corresponding records from the plurality of records according to a keyword;
• analyzing the keyword to categorize the keyword into the element under test category, the testing action category or the error phenomenon category;
• marking a code on the keyword according to categories of the keyword;
• calculating a second vector according to the code on the keyword;
• calculating a vector distance of the first vector and the second vector;
• and
• selecting a plurality of related records from the plurality of corresponding records according to the vector distance, and listing classifications of the plurality of related records.