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In the current Digital information age, Software industries, government organization and other IT industries has the priority of business across the world has focused on quality and reliability delivered software through process and technology. Quality of software is given with greater attention, which is resulting in reduction of software error in order to make quality software. In software engineering trend, software testing plays a significant role. Software testing is not a standalone process; it is series of steps for finding defects that is variance between expected result and actual result. This paper contributes the study which includes theoretical aspects about various software testing techniques, a discussion of different testing tools and its working by taking practical example. Through this paper, we analyse that how the test cases are prepared and applying in software application through manual and automation testing.

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Today practically everybody approaches colossal measure of information. A few across the board associations have their own particular extensive information storehouses, information stockrooms, which are as yet extending with questions over information and the requirement for extraction of most useful information design and refined learning. , Data can now be put away in a wide range of sorts of databases and data archives, other than being accessible on the Internet or in printed frame. With such measure of information, there is a requirement for effective systems for better translation of this information. Analysts needs these sort of hardware for examination their information. In this paper, we are talked about different accessible information mining devices and look at their utilities. There are such a variety of instruments are there like WEKA, orange, Rapid Miner, Tanagra etc. Information mining and it's applications can be seen as one of the rising and promising innovative improvements that give effective intends to get to different sorts of information and data accessible around the world. Not just this, these applications likewise helps in basic leadership. A superior comprehension of these applications helps in asking decision among all accessible application and devices. The paper gives the complete and hypothetical investigation of six open source information mining apparatuses. The review portrays the specialized particular, components, and specialization for each chose device alongside its applications. By utilizing the review the decision and determination of apparatuses can be made simple.

Many people have been severely affected by the COVID-19 outbreak, which has left them anxious, terrified, and other difficult feelings. Since the introduction of coronavirus vaccinations, people’s emotional spectrum has broadened and become more sophisticated.We want to observe and interpret their sentiments using deep learning techniques in this work. The most efficient way to convey one’s thoughts and feelings right now is via social media, and using Twitter may help one better understand what is popular and what is going through other people’s minds. Analyzing and visualization of data play a vital role in Data Science; as customers over e-commerce increase, feedback/reviews shared by them increase significantly, and decisions by a new customer to buy a product or not rely on these reviews; reviews might falsely be displayed which may be involving in controlling if any products demand and supply so, reviews analyzing and visualizationto understand they are genuinely playing an important role over e-commerce nowadays. Our primary objective in conducting this study was to understand better the various perspectives individuals held on the vaccination process and reviews of products purchased online. As shown by the presented study, analysis and visualization approaches may be used to facilitate rapid and easy comprehension of e-commerce data, despite its high dimensionality.All correlation and non-correlation factors were mapped and examined, providing a comprehensive picture of the proposed data and its connection to other parameters.The proposed work provides an overview of sentiment observations across arguments and the relationships between parameters; it opens the door for modeling to extract some decision-making insights from the data, which can be used to improve the efficiency of application areas like product quality and customer satisfaction.