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Abstract-Software testing is the process of evaluating the developed system to assess the quality of the final product. Unfortunately, software-testing process is expensive and consumes a lot of time through software development life cycle. As software systems grow, manual software testing becomes more and more difficult. Therefore, there was always a need to decrease the testing time. Recently, automation is as a major factor in reducing the testing effort by many researchers. Therefore, automating software-testing process is vital to its success. This study aims to compare the main features of different scripting techniques used in process of automating the execution phase in software testing process. In addition, an overview of different scripting techniques will be presented to show the state of art of this study.

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Affective computing is a highly computer research trend in last years, which related to human emotions and how computer interacts. While emotion is a fundamental in human experience, it becomes an ideal resource for servicing business or decision making. In ancient times, natural interfaces are likely to be used to provide ubiquitous computing. Although great achievement done, there still exist three challenges which are Cheap, Low power and software system. With the explosive growth of social media, people are using it to express their emotion or opinion. Currently, there are large amount of user generated data in different format ( i.e. Blog, Tweets, Posts, discussion forums) that represent individual expression feelings towards daily life activates whether it is product, topic, event, news, or personal life. As a result, a lot of researchers are done for detecting what humans feel now in social network; they fall under the scope of topic called emotion mining, opinion mining, or sentiment analysis. In this paper, we will survey the development done for emotion mining with a comparative study for different approaches. In addition, an investigation for technology used in this area and how it is applied, will be presented.

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