Reports
Anomaly Detection in Concurrent Software by Static Data Flow Analysis ; CU-CS-152-79 公开 Deposited
https://scholar.colorado.edu/concern/reports/w3763754x
- Abstract
- Algorithms are presented for detecting errors and anomalies in programs which use synchronization constructs to implement concurrency. The algorithms employ data flow analysis techniques. First used in compiler object code optimization, the techniques have more recently been used in the detection of variable usage errors in single process programs. By adapting these existing algorithms the same classes of variable usage error can be detected in concurrent process programs. Important classes of errors unique to concurrent process programs are also described, and algorithms for their detection are presented.
- Creator
- Date Issued
- 1979-04-01
- Academic Affiliation
- 最新修改
- 2019-12-21
- Resource Type
- 权利声明
- Language
关联
单件
缩略图 | 标题 | 上传日期 | 公开度 | 行动 |
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anomalyDetectionInConcurrentSoftwareByStaticDataFlowAnal.pdf | 2019-12-21 | 公开 | 下载 |