{"title":"需求分析阶段的自动框架","authors":"Asmaa H. Elsaid, Rashed K. Salem, H. Abdul-kader","doi":"10.1109/ICCES.2015.7393045","DOIUrl":null,"url":null,"abstract":"Developing an automatic framework for updating/ upgrading a system or a software is a challenging task due to the need of the updated or upgraded system to be easy for all users, satisfying all users' requirements, and decreasing the response time of the system. The main objective of this paper is to propose a framework for automating the requirement analysis steps such as identifying and classifying stakeholders, gathering requirements, and classifying requirements. The proposed automatic framework integrates rough set theory, Mendelow's power-interest model, and online questionnaires for the automation process. Rough set theory based on Mendelow's power-interest model supports identifying and classifying stakeholders step. A prepared online questionnaire supports gathering both stakeholders and requirements. In addition, the prepared online questionnaire attempts to classifying requirements based on importance and urgency attributes. After the data is captured automatically by online questionnaire, the analysis of results can be started straight away by presenting the results in tables, charts and graphs. This research contributes to a better understanding of how the integration of technologies (i.e., rough set theory, Mendelow's model and online questionnaire) to requirements analysis steps will ensure the quality, less effort and delivery time for software development. A Comparison between the proposed automated framework and the traditional manual requirement analysis steps on a case study for updating a faculty website is presented to show the effectiveness of the proposed method.","PeriodicalId":227813,"journal":{"name":"2015 Tenth International Conference on Computer Engineering & Systems (ICCES)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Automatic framework for requirement analysis phase\",\"authors\":\"Asmaa H. Elsaid, Rashed K. Salem, H. Abdul-kader\",\"doi\":\"10.1109/ICCES.2015.7393045\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Developing an automatic framework for updating/ upgrading a system or a software is a challenging task due to the need of the updated or upgraded system to be easy for all users, satisfying all users' requirements, and decreasing the response time of the system. The main objective of this paper is to propose a framework for automating the requirement analysis steps such as identifying and classifying stakeholders, gathering requirements, and classifying requirements. The proposed automatic framework integrates rough set theory, Mendelow's power-interest model, and online questionnaires for the automation process. Rough set theory based on Mendelow's power-interest model supports identifying and classifying stakeholders step. A prepared online questionnaire supports gathering both stakeholders and requirements. In addition, the prepared online questionnaire attempts to classifying requirements based on importance and urgency attributes. After the data is captured automatically by online questionnaire, the analysis of results can be started straight away by presenting the results in tables, charts and graphs. This research contributes to a better understanding of how the integration of technologies (i.e., rough set theory, Mendelow's model and online questionnaire) to requirements analysis steps will ensure the quality, less effort and delivery time for software development. A Comparison between the proposed automated framework and the traditional manual requirement analysis steps on a case study for updating a faculty website is presented to show the effectiveness of the proposed method.\",\"PeriodicalId\":227813,\"journal\":{\"name\":\"2015 Tenth International Conference on Computer Engineering & Systems (ICCES)\",\"volume\":\"45 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 Tenth International Conference on Computer Engineering & Systems (ICCES)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCES.2015.7393045\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 Tenth International Conference on Computer Engineering & Systems (ICCES)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCES.2015.7393045","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Automatic framework for requirement analysis phase
Developing an automatic framework for updating/ upgrading a system or a software is a challenging task due to the need of the updated or upgraded system to be easy for all users, satisfying all users' requirements, and decreasing the response time of the system. The main objective of this paper is to propose a framework for automating the requirement analysis steps such as identifying and classifying stakeholders, gathering requirements, and classifying requirements. The proposed automatic framework integrates rough set theory, Mendelow's power-interest model, and online questionnaires for the automation process. Rough set theory based on Mendelow's power-interest model supports identifying and classifying stakeholders step. A prepared online questionnaire supports gathering both stakeholders and requirements. In addition, the prepared online questionnaire attempts to classifying requirements based on importance and urgency attributes. After the data is captured automatically by online questionnaire, the analysis of results can be started straight away by presenting the results in tables, charts and graphs. This research contributes to a better understanding of how the integration of technologies (i.e., rough set theory, Mendelow's model and online questionnaire) to requirements analysis steps will ensure the quality, less effort and delivery time for software development. A Comparison between the proposed automated framework and the traditional manual requirement analysis steps on a case study for updating a faculty website is presented to show the effectiveness of the proposed method.