PPT-Metrics and Computer Games

Edel Sherratt The rise and rise of computer games Computer games are widely used People who write games want those games to be desirable And want players to play and play again Metrics can help answer questions about games. By: Mike Terpstra . Computer Games are nothing new…. Games have always been part of computing. Some were created for tests or demonstrations. Others merely reflect that computer pioneers were human—and humans play.. Survey . Results. With help from Marty . Klubeck. at Notre Dame and Brenda . Osuna. at USC. Who are we?. Brown. Carnegie Mellon. Columbia . Cornell . CU. -Boulder . Duke . University . Georgetown . Project and Process Metrics. Why do we measure?. Assessing project status. Allows us to track risks. Before they go critical. Adjust workflow. See if the team can control the quality of artifacts. Example metric. V. S. Somayazulu (v.srinivasa.somayazulu@intel.com). Hassnaa Moustafa (. hassnaa.moustafa@intel.com). Problem Statement. Video Quality Perception . is critical for end-user . QoE. . Topic has been discussed in WG, but no conclusion yet on including this in . Govind Ramanathan. -. Marketing. Vision. Customer Impact. Innovations. Target Markets. Competitive Advantage. We communicate as a Product Manager. Customers. New Features. Feature Improvements. Performance. Dr. Jey Veerasamy. jeyv@utdallas.edu. July 31. st. – August 23. rd. 9:30 am to 12 noon. 1. Memory game. 2. Minesweeper. 3. C. onnect4. 4. Deal or no deal. 5. Bouncing ball. 6. Sudoku. 7. Peter Andras. School of Computing Science. Newcastle University. peter.andras@ncl.ac.uk. Overview. Introduction. Research metrics. Science domains and evolution of science. Quality and performance. Science management. Loss Episode Metrics for IPPM. Nick Duffield, . Al Morton. , AT&T. Joel Sommers, Colgate University. IETF 79, Beijing, 11/8/2010. Agenda. Changes since IETF 77. One page summary of draft. Q&A from last IETF. Don McGreal. don.mcgreal@improvingenterprises.com. @. donmcgreal. . linkedin.com. /in/. donmcgreal. Agenda. Types of Metrics. Problems with Metrics. Metrics in Software Development. Evidence-Based Management. Survey . Results. With help from Marty . Klubeck. at Notre Dame and Brenda . Osuna. at USC. Who are we?. Brown. Carnegie Mellon. Columbia . Cornell . CU. -Boulder . Duke . University . Georgetown . The National Institute of Environmental Health Sciences (NIEHS) has developed online training materials to help grantees and others learn about developing logic models and evaluation metrics for activities conducted in the Partnerships for Environmental Public Health program (. Steven Borg, Principal ALM Consultant . Northwest Cadence. Steven.Borg@nwcadence.com. Every ‘best in class’ company measures software quality. . There are no exceptions. . If your company does not do this it is not an industry leader and there is a good chance that your software quality levels are marginal at best. . metrics. Group level. Density. Components. Isolates. Cliques. Centralization. Degree. Closeness. Betweenness. Factions. Core-periphery. Node level. Centrality. Degree. Indegree. Outdegree. Closeness. Rouven Krebs (SAP AG). , Christof Momm (SAP AG), Samuel Kounev (KIT). SPEC RG Cloud. , . May . 2012. Isolation . and Shared Resources. provides. Service Provider. High overhead, low utilization .  need to share.