5 Metrics You Should Know to Understand Your Engineering Efficiency Increase the speed and reliability of your team by understanding these key indicators

First Page		Document Content
Date: 2018-07-06 12:10:51 Software development Extreme programming Software testing Agile software development Continuous integration Unit testing Queueing theory		5 Metrics You Should Know to Understand Your Engineering Efficiency Increase the speed and reliability of your team by understanding these key indicators Add to Reading List Source URL: www2.circleci.com Download Document from Source Website File Size: 2,16 MB Share Document on Facebook

	Introducing Propositional Logic and Queueing Theory with the InfoTraffic Interactive Learning Environments Ruedi Arnold Institute for Pervasive Computing ETH Zurich 8092 Zurich, Switzerland DocID: 1sNXW - View Document
	Introduction to Queueing Theory Raj Jain Washington University in Saint Louis Saint Louis, MO 63130 DocID: 1rZWk - View Document
	Worst-Case Efficiency Analysis of Queueing Disciplines? Damon Mosk-Aoyama ?? and Tim Roughgarden1? ? ? Department of Computer Science, Stanford University, 353 Serra Mall, Stanford, CA 94305 DocID: 1rNMD - View Document
	How real is the threat of instability events predicted by Adversarial Queueing Theory? Daniel S. Berger Martin Karsten DocID: 1rtNX - View Document
	1 Optimal Throughput-Delay Scaling in Wireless Networks – Part I: The Fluid Model Abbas El Gamal, James Mammen, Balaji Prabhakar, and Devavrat Shah DocID: 1rroQ - View Document