Software Quality Assurance Testing time computer vision based automation tools are used to test the window based application and window based application is combined of many objects. Among them most of the automation tool detect window objects by comparing images. Most of the objects are visible in the window screen but some objects which are not visible to the screen at the first time. Proper interaction with the window application hidden objects get visible to the screen like dropdown list item, editor text object, list box item and slider. With the automation tools these hidden objects cannot be searched directly. In this paper proposes some methods which will enhance the automation tools to access the window application hidden objects.

Nowadays hundreds of millions of people of almost all levels of education and attitudes from different country communicate with each other for different purposes and perform their jobs on internet or other communication medium using various languages. Not all people know all language; therefore it is very difficult to communicate or works on various languages. In this situation the computer scientist introduce various inter language translation program (Machine translation). UNL is such kind of inter language translation program. One of the major problem of UNL is identified a name from a sentence, which is relatively simple in English language, because such entities start with a capital letter. In Bangla we do not have concept of small or capital letters. Thus we find difficulties in understanding whether a word is a proper noun or not. Here we have proposed analysis rules to identify proper noun from a sentence and established post converter which translate the name entity from Bangla to UNL. The goal is to make possible Bangla sentence conversion to UNL and vice versa. UNL system prove that the theoretical analysis of our proposed system able to identify proper noun from Bangla sentence and produce relative Universal word for UNL.