Patrick D. Cook, Susan A. Mengel, Siva Parameswaran
{"title":"从联邦法规代码中提取道义表达的软件工程方法-一个单一案例,嵌入式案例研究","authors":"Patrick D. Cook, Susan A. Mengel, Siva Parameswaran","doi":"10.1142/s021819402341005x","DOIUrl":null,"url":null,"abstract":"This research provides a comprehensive analysis of deontic expressions within the Code of Federal Regulations (CFR) Title 48, Federal Acquisition Regulations System, specifically focusing on obligations, permissions, prohibitions, and dispensations. Utilizing SHAMROQ, a systematic and rigorous methodology, the authors extract, classify, and analyze these expressions, quantify their prevalence, and identify common linguistic patterns within the legal text. The results show that obligations (71.3%) form most deontic expressions in CFR 48, indicating the heavily prescriptive nature of the document. Permissions also form a significant part (21.9%), suggesting the liberties and allowances are embedded within the regulatory framework. In contrast, prohibitions (5.4%) and dispensations (1.4%) are less frequent, indicating that the document leans more towards defining what is required or allowed rather than what is explicitly forbidden or exempted. This research also highlights the challenges encountered during the extraction process, providing insights into the complexities of parsing legal texts and the intricacies of deontic language. These challenges range from the technical difficulties of parsing a complex hierarchical document to the conceptual challenges of defining precise rulesets for regulations and provisions. In summary, the results deepen the understanding of regulatory compliance in software engineering and contribute to the development of more effective and efficient automated extraction tools.","PeriodicalId":50288,"journal":{"name":"International Journal of Software Engineering and Knowledge Engineering","volume":null,"pages":null},"PeriodicalIF":0.6000,"publicationDate":"2023-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"SHAMROQ: A Software Engineering Methodology to Extract Deontic Expressions from the Code of Federal Regulations - A Single-Case, Embedded Case Study\",\"authors\":\"Patrick D. Cook, Susan A. Mengel, Siva Parameswaran\",\"doi\":\"10.1142/s021819402341005x\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This research provides a comprehensive analysis of deontic expressions within the Code of Federal Regulations (CFR) Title 48, Federal Acquisition Regulations System, specifically focusing on obligations, permissions, prohibitions, and dispensations. Utilizing SHAMROQ, a systematic and rigorous methodology, the authors extract, classify, and analyze these expressions, quantify their prevalence, and identify common linguistic patterns within the legal text. The results show that obligations (71.3%) form most deontic expressions in CFR 48, indicating the heavily prescriptive nature of the document. Permissions also form a significant part (21.9%), suggesting the liberties and allowances are embedded within the regulatory framework. In contrast, prohibitions (5.4%) and dispensations (1.4%) are less frequent, indicating that the document leans more towards defining what is required or allowed rather than what is explicitly forbidden or exempted. This research also highlights the challenges encountered during the extraction process, providing insights into the complexities of parsing legal texts and the intricacies of deontic language. These challenges range from the technical difficulties of parsing a complex hierarchical document to the conceptual challenges of defining precise rulesets for regulations and provisions. In summary, the results deepen the understanding of regulatory compliance in software engineering and contribute to the development of more effective and efficient automated extraction tools.\",\"PeriodicalId\":50288,\"journal\":{\"name\":\"International Journal of Software Engineering and Knowledge Engineering\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.6000,\"publicationDate\":\"2023-10-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Software Engineering and Knowledge Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1142/s021819402341005x\",\"RegionNum\":4,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Software Engineering and Knowledge Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1142/s021819402341005x","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE","Score":null,"Total":0}
SHAMROQ: A Software Engineering Methodology to Extract Deontic Expressions from the Code of Federal Regulations - A Single-Case, Embedded Case Study
This research provides a comprehensive analysis of deontic expressions within the Code of Federal Regulations (CFR) Title 48, Federal Acquisition Regulations System, specifically focusing on obligations, permissions, prohibitions, and dispensations. Utilizing SHAMROQ, a systematic and rigorous methodology, the authors extract, classify, and analyze these expressions, quantify their prevalence, and identify common linguistic patterns within the legal text. The results show that obligations (71.3%) form most deontic expressions in CFR 48, indicating the heavily prescriptive nature of the document. Permissions also form a significant part (21.9%), suggesting the liberties and allowances are embedded within the regulatory framework. In contrast, prohibitions (5.4%) and dispensations (1.4%) are less frequent, indicating that the document leans more towards defining what is required or allowed rather than what is explicitly forbidden or exempted. This research also highlights the challenges encountered during the extraction process, providing insights into the complexities of parsing legal texts and the intricacies of deontic language. These challenges range from the technical difficulties of parsing a complex hierarchical document to the conceptual challenges of defining precise rulesets for regulations and provisions. In summary, the results deepen the understanding of regulatory compliance in software engineering and contribute to the development of more effective and efficient automated extraction tools.
期刊介绍:
The International Journal of Software Engineering and Knowledge Engineering is intended to serve as a forum for researchers, practitioners, and developers to exchange ideas and results for the advancement of software engineering and knowledge engineering. Three types of papers will be published:
Research papers reporting original research results
Technology trend surveys reviewing an area of research in software engineering and knowledge engineering
Survey articles surveying a broad area in software engineering and knowledge engineering
In addition, tool reviews (no more than three manuscript pages) and book reviews (no more than two manuscript pages) are also welcome.
A central theme of this journal is the interplay between software engineering and knowledge engineering: how knowledge engineering methods can be applied to software engineering, and vice versa. The journal publishes papers in the areas of software engineering methods and practices, object-oriented systems, rapid prototyping, software reuse, cleanroom software engineering, stepwise refinement/enhancement, formal methods of specification, ambiguity in software development, impact of CASE on software development life cycle, knowledge engineering methods and practices, logic programming, expert systems, knowledge-based systems, distributed knowledge-based systems, deductive database systems, knowledge representations, knowledge-based systems in language translation & processing, software and knowledge-ware maintenance, reverse engineering in software design, and applications in various domains of interest.