Proceedings The Eighth International Symposium on Software Reliability Engineering最新文献

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Enforcing quality of service of distributed objects 加强分布式对象的服务质量
Proceedings The Eighth International Symposium on Software Reliability Engineering Pub Date : 1997-11-02 DOI: 10.1109/ISSRE.1997.630887
Alberto Avritzer, E. Weyuker
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引用次数: 3
An example of risk assessment of software systems specifications 软件系统规范的风险评估示例
Proceedings The Eighth International Symposium on Software Reliability Engineering Pub Date : 1997-11-02 DOI: 10.1109/ISSRE.1997.630861
H. Ammar, T. Nikzadeh, J. Dugan
{"title":"An example of risk assessment of software systems specifications","authors":"H. Ammar, T. Nikzadeh, J. Dugan","doi":"10.1109/ISSRE.1997.630861","DOIUrl":"https://doi.org/10.1109/ISSRE.1997.630861","url":null,"abstract":"This paper presents an example of risk assessment in complex real-time software systems at the early stages of development. A heuristic risk assessment technique based on colored Petri net (CPN) models is used to classify software according to its relative importance in terms of such factors as severity and complexity. The methodology of this technique is presented in a companion paper (Ammar et al., 1997). This technique is applied on the Earth Operation Commanding Center; a large component of NASA's Earth Observing System (EOS) project. Two specifications of the system are considered: a sequential model and a pipeline model. Results of applying the above technique to both CPN-based models yield different complexity measures. The pipeline model shows clearly a higher risk factor than the sequential model. Whereas using traditional complexity measures, the risk factors were similar in both models.","PeriodicalId":170184,"journal":{"name":"Proceedings The Eighth International Symposium on Software Reliability Engineering","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1997-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126318187","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}
引用次数: 3
Predicting fault-prone modules with case-based reasoning 使用基于案例的推理预测易出错模块
Proceedings The Eighth International Symposium on Software Reliability Engineering Pub Date : 1997-11-02 DOI: 10.1109/ISSRE.1997.630845
T. Khoshgoftaar, K. Ganesan, E. B. Allen, Fletcher D. Ross, R. Munikoti, N. Goel, A. Nandi
{"title":"Predicting fault-prone modules with case-based reasoning","authors":"T. Khoshgoftaar, K. Ganesan, E. B. Allen, Fletcher D. Ross, R. Munikoti, N. Goel, A. Nandi","doi":"10.1109/ISSRE.1997.630845","DOIUrl":"https://doi.org/10.1109/ISSRE.1997.630845","url":null,"abstract":"Software quality classification models seek to predict quality factors such as whether a module will be fault prone, or not. Case based reasoning (CBR) is a modeling technique that seeks to answer new questions by identifying similar \"cases\" from the past. When applied to software reliability, the working hypothesis of our approach is this: a module currently under development is probably fault prone if a module with similar product and process attributes in an earlier release was fault prone. The contribution of the paper is application of case based reasoning to software quality modeling. To the best of our knowledge, this is the first time that case based reasoning has been used to identify fault prone modules. A case study illustrates our approach and provides evidence that case based reasoning can be the basis for useful software quality classification models that are competitive with discriminant models. The case study revisits data from a previously published nonparametric discriminant analysis study. The Type II misclassification rate of the CBR model was substantially better than that of the discriminant model. Although the Type I misclassification rate was slightly greater and the overall misclassification rate was only slightly less, the CBR model was preferred when costs of misclassification were considered.","PeriodicalId":170184,"journal":{"name":"Proceedings The Eighth International Symposium on Software Reliability Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1997-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129411498","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}
引用次数: 74
Software Reliability Standards - Status And Progress 软件可靠性标准——现状和进展
Proceedings The Eighth International Symposium on Software Reliability Engineering Pub Date : 1900-01-01 DOI: 10.1109/issre.1997.630866
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引用次数: 1
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