Social Media as the Next Trend in Social Business Marketing Social Media as the Next Trend in Solar Business Marketing
Gopichand Merugu1, I.Krishnaveni2

1Gopichand Merugu, Professsor & Head, Department of Information Technology, Vardhaman College of Engineering, Hyderabad, Telangana, India. 

2I.Krishnaveni, Quality Engineer, UTRC, Hyderabad, Telangana, India.

Manuscript received on 15 September 2019 | Revised Manuscript received on 23 September 2019 | Manuscript Published on 11 October 2019 | PP: 760-763 | Volume-8 Issue-11S September 2019 | Retrieval Number: K117909811S19/2019©BEIESP | DOI: 10.35940/ijitee.K1179.09811S19

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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (

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.

Keywords: Airsence, Localization , Testing
Scope of the Article: Control and Automation