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The World Wide Web has immense resources for all kind of people for their specific needs. Searching on the Web using search engines such as Google, Bing, Ask have become an extremely common way of locating information. Searches are factorized by using either term or keyword sequentially or through short sentences. The
system centred on the use of keyword-based, Web search engines. By leveraging the existing infrastructure of proven search engines, our system aims to automate the humanintensive process of seeking information and emerging trends. A prototype application that integrates the software that we plan to use has been developed to
In order to solve the problem that we can only collect data from one single data source at some fixed time after mining the keywords in a rather superficial level, and to take full use of the information returned by search engines to construct the social relationship network based on the semantic link of the searched
journal papers and performed a content analysis of the keywords from the relevant papers to create a software engineering team research taxonomy. We utilized this taxonomy to categorize the context of communication research papers. We then used the categorization results to determine the most active software development team
, we review 79 alarms handling studies collected through a systematic literature search and classify the approaches proposed into seven categories. The literature search is performed by combining the keywords-based database search and snowballing. Our review is intended to provide an overview of various alarms handling
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.