{"title":"计算机科学论文方法论章节指南","authors":"Marco Araujo","doi":"arxiv-2405.00040","DOIUrl":null,"url":null,"abstract":"Rather than simply offering suggestions, this guideline for the methodology\nchapter in computer science dissertations provides thorough insights on how to\ndevelop a strong research methodology within the area of computer science. The\nmethod is structured into several parts starting with an overview of research\nstrategies which include experiments, surveys, interviews and case studies. The\nguide highlights the significance of defining a research philosophy and\nreasoning by talking about paradigms such as positivism, constructivism and\npragmatism. Besides, it reveals the importance of types of research including\ndeductive and inductive methodologies; basic versus applied research\napproaches. Moreover, this guideline discusses data collection and analysis\nintricacies that divide data into quantitative and qualitative typologies. It\nexplains different ways in which data can be collected from observation to\nexperimentation, interviews or surveys. It also mentions ethical considerations\nin research emphasizing ethical behavior like following academic principles. In\ngeneral, this guideline is an essential tool for undertaking computer science\ndissertations that help researchers structure their work while maintaining\nethical standards in their study design.","PeriodicalId":501533,"journal":{"name":"arXiv - CS - General Literature","volume":"54 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A guideline for the methodology chapter in computer science dissertations\",\"authors\":\"Marco Araujo\",\"doi\":\"arxiv-2405.00040\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Rather than simply offering suggestions, this guideline for the methodology\\nchapter in computer science dissertations provides thorough insights on how to\\ndevelop a strong research methodology within the area of computer science. The\\nmethod is structured into several parts starting with an overview of research\\nstrategies which include experiments, surveys, interviews and case studies. The\\nguide highlights the significance of defining a research philosophy and\\nreasoning by talking about paradigms such as positivism, constructivism and\\npragmatism. Besides, it reveals the importance of types of research including\\ndeductive and inductive methodologies; basic versus applied research\\napproaches. Moreover, this guideline discusses data collection and analysis\\nintricacies that divide data into quantitative and qualitative typologies. It\\nexplains different ways in which data can be collected from observation to\\nexperimentation, interviews or surveys. It also mentions ethical considerations\\nin research emphasizing ethical behavior like following academic principles. In\\ngeneral, this guideline is an essential tool for undertaking computer science\\ndissertations that help researchers structure their work while maintaining\\nethical standards in their study design.\",\"PeriodicalId\":501533,\"journal\":{\"name\":\"arXiv - CS - General Literature\",\"volume\":\"54 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-03-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"arXiv - CS - General Literature\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/arxiv-2405.00040\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - CS - General Literature","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2405.00040","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A guideline for the methodology chapter in computer science dissertations
Rather than simply offering suggestions, this guideline for the methodology
chapter in computer science dissertations provides thorough insights on how to
develop a strong research methodology within the area of computer science. The
method is structured into several parts starting with an overview of research
strategies which include experiments, surveys, interviews and case studies. The
guide highlights the significance of defining a research philosophy and
reasoning by talking about paradigms such as positivism, constructivism and
pragmatism. Besides, it reveals the importance of types of research including
deductive and inductive methodologies; basic versus applied research
approaches. Moreover, this guideline discusses data collection and analysis
intricacies that divide data into quantitative and qualitative typologies. It
explains different ways in which data can be collected from observation to
experimentation, interviews or surveys. It also mentions ethical considerations
in research emphasizing ethical behavior like following academic principles. In
general, this guideline is an essential tool for undertaking computer science
dissertations that help researchers structure their work while maintaining
ethical standards in their study design.