Pub Date : 1992-09-21DOI: 10.1109/CMPSAC.1992.217601
Michael R. Lyu, Jia-Hong Chen, A. Avizienis
The authors define and formalize the concept of software diversity which characterizes N-Version software (NVS) from four different points of view that are designated as structural diversity, fault diversity, tough-spot diversity, and failure diversity. The goals are to find a way to quantify software diversity and to investigate the measurements which can be applied during the life cycle of NVS to gain confidence that operation will be dependable when NVS is actually used. The versions from a six-language N-Version programming project for fault-tolerant flight control software were used in the software diversity measurement.<>
{"title":"Software diversity metrics and measurements","authors":"Michael R. Lyu, Jia-Hong Chen, A. Avizienis","doi":"10.1109/CMPSAC.1992.217601","DOIUrl":"https://doi.org/10.1109/CMPSAC.1992.217601","url":null,"abstract":"The authors define and formalize the concept of software diversity which characterizes N-Version software (NVS) from four different points of view that are designated as structural diversity, fault diversity, tough-spot diversity, and failure diversity. The goals are to find a way to quantify software diversity and to investigate the measurements which can be applied during the life cycle of NVS to gain confidence that operation will be dependable when NVS is actually used. The versions from a six-language N-Version programming project for fault-tolerant flight control software were used in the software diversity measurement.<<ETX>>","PeriodicalId":286518,"journal":{"name":"[1992] Proceedings. The Sixteenth Annual International Computer Software and Applications Conference","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1992-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116646482","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 1992-09-21DOI: 10.1109/CMPSAC.1992.217576
H. Ramadhan
The approach presented concentrates on integrating intelligent and unintelligent approaches to come up with an environment that helps novices develop not only problem-solving skills, but also an accurate conceptual and mental model of the programming process. DISCOVER, an intelligent discovery program system supports novices in an initial unintelligent free discovery programming phase and in a subsequent intelligent guided discovery programming phase. In the initial phase, novices explore, observe, and discover the dynamic behavior of individual programming concepts and whole programs as well as of the national machine to build the underlying conceptual programming knowledge. In the subsequent phase, novices compose together programming concepts and language constructs, observed and discovered in the initial phase, to solve given problems under explicit intelligent guidance of system domain expert to transform their programming knowledge into programming skill. Several design issues and decisions that have influenced the development of DISCOVER are discussed.<>
{"title":"Intelligent vs. unintelligent programming systems for novices","authors":"H. Ramadhan","doi":"10.1109/CMPSAC.1992.217576","DOIUrl":"https://doi.org/10.1109/CMPSAC.1992.217576","url":null,"abstract":"The approach presented concentrates on integrating intelligent and unintelligent approaches to come up with an environment that helps novices develop not only problem-solving skills, but also an accurate conceptual and mental model of the programming process. DISCOVER, an intelligent discovery program system supports novices in an initial unintelligent free discovery programming phase and in a subsequent intelligent guided discovery programming phase. In the initial phase, novices explore, observe, and discover the dynamic behavior of individual programming concepts and whole programs as well as of the national machine to build the underlying conceptual programming knowledge. In the subsequent phase, novices compose together programming concepts and language constructs, observed and discovered in the initial phase, to solve given problems under explicit intelligent guidance of system domain expert to transform their programming knowledge into programming skill. Several design issues and decisions that have influenced the development of DISCOVER are discussed.<<ETX>>","PeriodicalId":286518,"journal":{"name":"[1992] Proceedings. The Sixteenth Annual International Computer Software and Applications Conference","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1992-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121810433","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}