Z. Zulkifli, F. Gaol, A. Trisetyarso, W. Budiharto
{"title":"基于软件测试集成模型(I-BM)的基于机器学习的测量故障输出精度识别框架","authors":"Z. Zulkifli, F. Gaol, A. Trisetyarso, W. Budiharto","doi":"10.1142/s0218194023300026","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":50288,"journal":{"name":"International Journal of Software Engineering and Knowledge Engineering","volume":"39 1","pages":"1149-1168"},"PeriodicalIF":0.6000,"publicationDate":"2023-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Software Testing Integration-Based Model (I-BM) Framework for Recognizing Measure Fault Output Accuracy Using Machine Learning Approach\",\"authors\":\"Z. Zulkifli, F. Gaol, A. Trisetyarso, W. Budiharto\",\"doi\":\"10.1142/s0218194023300026\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\",\"PeriodicalId\":50288,\"journal\":{\"name\":\"International Journal of Software Engineering and Knowledge Engineering\",\"volume\":\"39 1\",\"pages\":\"1149-1168\"},\"PeriodicalIF\":0.6000,\"publicationDate\":\"2023-05-15\",\"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\":\"94\",\"ListUrlMain\":\"https://doi.org/10.1142/s0218194023300026\",\"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":"94","ListUrlMain":"https://doi.org/10.1142/s0218194023300026","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}
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.