{"title":"这是你的提示!使用资源样式属性协助搜索行为","authors":"Deeksha M. Arya","doi":"10.1145/3540250.3558909","DOIUrl":null,"url":null,"abstract":"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 within a resource. Our work focuses on helping programmers assess the pertinence of resources to differentiate between resources. We investigated how programmers find learning resources online via a diary and interview study, and observed that programmers use certain 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.","PeriodicalId":68155,"journal":{"name":"软件产业与工程","volume":"6 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"This is your cue! assisting search behaviour with resource style properties\",\"authors\":\"Deeksha M. Arya\",\"doi\":\"10.1145/3540250.3558909\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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 within a resource. Our work focuses on helping programmers assess the pertinence of resources to differentiate between resources. We investigated how programmers find learning resources online via a diary and interview study, and observed that programmers use certain 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.\",\"PeriodicalId\":68155,\"journal\":{\"name\":\"软件产业与工程\",\"volume\":\"6 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-11-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"软件产业与工程\",\"FirstCategoryId\":\"1089\",\"ListUrlMain\":\"https://doi.org/10.1145/3540250.3558909\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"软件产业与工程","FirstCategoryId":"1089","ListUrlMain":"https://doi.org/10.1145/3540250.3558909","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This is your cue! assisting search behaviour with resource style properties
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 within a resource. Our work focuses on helping programmers assess the pertinence of resources to differentiate between resources. We investigated how programmers find learning resources online via a diary and interview study, and observed that programmers use certain 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.