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Collecting data for software reliability analysis and modeling 93

Collecting data for software reliability analysis and modeli...

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Proceedings of the 1993 conference of the Centre for Advanced Studies on Collaborative research: software engineering - Volume 1

作者： Joe Palma Jeff Tian Peng Lu IBM Programming Systems Toronto Laboratory

This paper studies the collection of appropriate data for software reliability analysis and modeling. Our approach satisfies the data requirements for various reliability models under the constraints imposed by our project environment. These data-model relations and data - environment constraints are characterized to provide a tentative roadmap for data collection. In the process of collecting data for a group of projects in the system testing stage, we encountered various problems and devised solutions and improvement initiatives to deal with them. We summarize our experience in this paper so that similar initiatives in quality improvement under similar environments can be implemented more effectively.

关键词： software reliability engineering data collection reliability

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Software reliability measurement and modeling for multiple releases of commercial software 4

Software reliability measurement and modeling for multiple r...

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4th International Symposium on Software Reliability Engineering, ISSRE 1993

作者： Tian, Jeff Lu, Peng IBM Programming Systems Toronto Laboratory 895 Don Mills Road North YorkONM3C 1W3 Canada

ISBN: (纸本)0818640103

This paper summarizes our experience and findings in measuring and modeling software reliability for a large ibm software product. Four consecutive releases of this product were studied, with various reliability models fitted for individual releases. The models are evaluated by how good they can fit the observed data and how predictive they are. Model sensitivity and performance analysis are performed for across release comparisons, resulting in the models being ranked according to their robustness and accuracy in predicting failures across different data sets. Various ways of combining the multiple release information for generalization and extrapolation to successor releases are also explored. © 1993 IEEE.

关键词： Software reliability

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An integrated environment for software reliability modeling

An integrated environment for software reliability modeling

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IEEE Annual International Computer Software and Applications Conference (COMPSAC)

作者： J. Tian P. Lu IBM Programming Systems Toronto Laboratory North York ONT Canada

This paper introduces an integrated environment for software reliability modeling. The environment consists of three major components: (1) a software reliability modeling tool SMERFS adapted to fit our development environment; (2) a general data analysis environment in S-PLUS customized for software reliability modeling; and (3) some supporting programs written in C and AWK. This environment has been successfully used in the ibm programming systems toronto Lab.< >

关键词： Software reliability Trademarks Reliability engineering Data analysis System testing Software tools Predictive models Software quality Data engineering Data visualization

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Software reliability measurement and modeling for multiple releases of commercial software

Software reliability measurement and modeling for multiple r...

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International Symposium on Software Reliability Engineering (ISSRE)

作者： J. Tian P. Lu IBM Programming Systems Toronto Laboratory North York ONT Canada

关键词： Software reliability Software measurement Predictive models System testing Application software Laboratories Reliability engineering Software testing Milling machines Electronic mail

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Data placement and buffer management for concurrent mergesorts with parallel prefetching

Data placement and buffer management for concurrent mergesor...

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International Conference on Data Engineering

作者： Kun-Lung Wu P.S. Yu J.Z. Teng IBM Thomas J. Watson Research Center Yorktown Heights NJ USA IBM Programming Systems Toronto Laboratory San Jose CA USA

ISBN: (纸本)0818654023

Various data placement policies are studied for the merge phase of concurrent mergesorts using parallel prefetching, where initial sorted runs (input) of a merge and its final sorted run (output) are stored on multiple disks but each run resides only on a single disk. Since the merge phase involves only sequential references, parallel prefetching can be attractive an reducing the average response time for concurrent merges. However, without careful buffer control, severe thrashing may develop under certain run placement policies, reducing the benefits of prefetching. The authors examine through detailed simulations three different run placement policies. The results show that even though buffer thrashing can be almost avoided by placing the output run of a job on the same disk with at least one of its input runs, this thrashing-avoiding run placement policy can be substantially outperformed by other policies that use buffer thrashing control. With buffer thrashing avoidance, the best performance as achieved by a run placement policy that uses a proper subset of disks dedicated for writing the output runs while the rest of the disks are used for prefetching the input runs in parallel.< >

关键词： Prefetching Delay Writing Throughput Sorting Databases Query processing

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