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Mon 14 - Fri 18 November 2022 Singapore
Thu 17 Nov 2022 11:00 - 11:30 at ERC Active Learning Room - Session 2 Chair(s): Michael Pradel

When learning a software technology, programmers face a large variety of resources in different styles and catering to different requirements. Although search engines are helpful to filter relevant resources, programmers are still required to manually go through a number of resources before they find one pertinent to their needs. Prior work has largely concentrated on helping programmers find the precise location of relevant information \textit{within} a resource. Our work focuses on helping programmers assess the pertinence of resources to differentiate \textit{between} resources. We investigated \textit{how} programmers find learning resources online via a diary and interview study, and observed that programmers use certain \textit{cues} to determine whether to access a resource. Based on our findings, we investigate the extent to which we can support the cue-following process via a prototype tool. Our research supports programmers' search behaviour for software technology learning resources to inform resource creators on important factors that programmers look for during their search.

Thu 17 Nov

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