'System lifetime' diaporamas de présentation

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Software evolution

Software evolution. Objectives. To explain why change is inevitable if software systems are to remain useful To discuss software maintenance and maintenance cost factors To describe the processes involved in software evolution

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Metastability (What?)

Metastability (What?). Tom Chaney, tchaney@blendics.com Dave Zar, dzar@blendics.com. TexPoint fonts used in EMF. Read the TexPoint manual before you delete this box.: ? ? ? ? ? ? ? ?. Metastability Is. a fundamental property of all bi-stable circuits (flip-flops and arbiters)

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Chapter 10 Software Evolution

Chapter 10 Software Evolution . Chapter 21 in your textbook . 1. Objectives. Understand that change is inevitable if software systems are to remain useful Learned different types of software maintenance and factors that effect its costs Understand software re-engineering. 2. Overview.

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Arindam K. Das CIA Lab University of Washington Seattle, WA

LIFETIME MAXIMIZATION IN ENERGY CONSTRAINED WIRELESS NETWORKS. Arindam K. Das CIA Lab University of Washington Seattle, WA. LIFETIME MAXIMIZATION IN ENERGY CONSTRAINED WIRELESS NETWORKS. with Robert J. Marks II & M.A. El-Sharkawi (UW CIA) Payman Arabshahi & Andrew Gray (JPL/NASA).

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Software evolution

Software evolution. Topics covered. Program evolution dynamics Software maintenance Complexity and Process metrics Evolution processes. Software change. Software change is inevitable New requirements emerge when the software is used; The business environment changes;

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STAT3600

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Takafumi Niida for the PHENIX Collaboration JPS meeting, Mar. 2012

Azimuthal HBT measurement of charged pions W ith respect to 3 rd event plane In Au+Au 200GeV collisions a t RHIC-PHENIX. Takafumi Niida for the PHENIX Collaboration JPS meeting, Mar. 2012 . outline. Introduction Motivation Analysis method Current status Summary and Outlook.

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Completed/planned activities of AGH in VD-A

Completed/planned activities of AGH in VD-A. Miroslaw Kantor , Marcin Niemiec Department of Telecommunications AGH University of Science and Technology. VD-A meeting February 26, 2007 Barcelona, Spain. Completed/planned activities. Access network resilience (will be continued)

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Modeling In-Network Processing and Aggregation in Sensor Networks

Modeling In-Network Processing and Aggregation in Sensor Networks. Ajay Mahimkar EE 382C Embedded Software Systems Prof. B. L. Evans May 5, 2004. Sensor Networks. Monitor physical environment from remote locations Challenges Battery is the most pressing Deployment of sensors in thousands

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Aircraft Diagnostics from Avionics Support Equipment Perspective 07 December 2010

Aircraft Diagnostics from Avionics Support Equipment Perspective 07 December 2010 . Michael Brazinski CH-53K Avionics Support Equipment NAVAIR, Lakehurst, NJ. Topics for Discussion. Diagnostics Requirements System Synthesis Model Smart Connector Development.

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