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Software Testing for Non-traditional Software

Software Testing for Non-traditional Software

Software Testing for Non-traditional Software . Mary Lou Soffa University of Pittsburgh soffa@cs.pitt.edu Currently on sabbatical at IBM T.J. Watson Research. Shanghai, China December 4, 2003. Research Interests . Software Engineering Testing Regression testing - maintenance

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728 views • 62 slides
Fast Mining and Forecasting of Complex Time-Stamped Events

Fast Mining and Forecasting of Complex Time-Stamped Events

Fast Mining and Forecasting of Complex Time-Stamped Events. Yasuko Matsubara (Kyoto University), Yasushi Sakurai (NTT), Christos Faloutsos (CMU), Tomoharu Iwata (NTT), Masatoshi Yoshikawa (Kyoto Univ.). Motivation. Complex time-stamped events

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620 views • 51 slides
Joint Inference for Knowledge Extraction from Biomedical Literature

Joint Inference for Knowledge Extraction from Biomedical Literature

Joint Inference for Knowledge Extraction from Biomedical Literature. Hoifung Poon Dept. Computer Science & Eng. University of Washington (Joint work with Lucy Vanderwende at Microsoft Research). Outline. Motivation Bio-event extraction Our system Experimental results Conclusion.

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695 views • 47 slides
Correctness of parallel programs

Correctness of parallel programs

Correctness of parallel programs. Shaz Qadeer Research in Software Engineering CSEP 506 Spring 2011. Why is correctness important?. S oftware development is expensive Testing and debugging significant part of the cost

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380 views • 30 slides
22C:19 Discrete Math Discrete Probability

22C:19 Discrete Math Discrete Probability

22C:19 Discrete Math Discrete Probability. Fall 2011 Sukumar Ghosh. Sample Space. DEFINITION . The sample space S of an experiment is the set of possible outcomes. An event E is a subset of the sample space. What is probability?. Probability distribution.

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438 views • 29 slides
Basic Terms of Probability

Basic Terms of Probability

Basic Terms of Probability. Section 3.2. Definitions. Experiment: A process by which an observation or outcome is obtained. Sample Space: The set S of all possible outcomes of an experiment. Event: Any subset E of the sample space S. Probability of an Event.

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647 views • 11 slides

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