Automation for localization of airsense

Abstract

AirSense technology is a network of High Sensitivity Smoke Detectors including HSSD2, and Stratos-Micra100 etc. and is catered to multiple regions. High Sensitivity Smoke Detector (HSSD) uses aspirating smoke detection. Aspirating Smoke Detection is a method of smoke detection that uses an aspirating fan to draw air from the protected area via a network of sampling pipes and sampling holes, and analyzes at the aspirating detector for the presence of smoke. UTC Climate Controls Security is a market leader in the manufacture of Aspirating Smoke Detectors (ASD). AirSense technology is capable of 16 loops, each loop with maximum of 127 detectors. These detectors are capable of providing the highest levels of sensitivity in environments such as production sites, paper mills, historic buildings, atrium buildings. This product uses three software applications like PipeCad, Remote and SenseNET. As the product is aimed for use across multiple regions, it is developed in 16 different languages. As a part of product testing, localization testing is taking more time to verify the correctness of strings with 16 languages. Hence the intent to go for automation is to reduce time to market and increase test coverage. This paper presents an automated testing performed on localization of AirSense product as to reduce the manual testing time. Visual studio Coded UI has been identified as a tool to develop the scripts. Scripts are being developed which run in un-attended mode. By this, the manual test time is estimated to reduce significantly.