Abstract: Methods and apparatuses are described for automatic classification of error conditions in automated user interface testing. A server receives an image file corresponding to a current user interface (UI) view of a software application under test. The server analyzes the image file to identify error conditions that exist in the current UI view. The server assigns a classification to the image file according to one or more error types based upon the error conditions identified in the current UI view. The server transmits a notification message to one or more remote computing devices, the notification message comprising the image file and the classification assigned to the image file.

Abstract: Methods and apparatuses are described for real-time monitoring of computer system processor and transaction performance during an ongoing performance test. A plurality of monitoring agent processes executing on a processor of a first computing device in a computer system testing environment extracts performance data relating to the ongoing performance test in the computer system testing environment by scraping CPU usage data, analyzing submitted transaction data as stored in a transaction log file and executing search queries against a transaction database in the computing system testing environment to generate a transaction lifecycle dataset.

Abstract: Methods and apparatuses are described for real-time monitoring of computer system processor and transaction performance during an ongoing performance test. A plurality of monitoring agent processes executing on a processor of a first computing device in a computer system testing environment extracts performance data relating to the ongoing performance test in the computer system testing environment by scraping CPU usage data, analyzing submitted transaction data as stored in a transaction log file and executing search queries against a transaction database in the computing system testing environment to generate a transaction lifecycle dataset.