PPT-NEW METRICS FOR ECONOMIC COMPLEXITY:

Collaborators G Chiarotti 12 G Cimini 12 M Cristelli 12 R Di Clemente 12 A Gabrielli 123 E Pugliese 12 F Saracco 12 F Sylos Labini 14 T Squartini. Uses for the complexity metrics in our framework . Comparing the complexity of the reference model with the abstracted models. Comparing the complexity of the abstracted models at the same level of abstraction . 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. Research . Service. Workshop on ‘. Finding Meaning in Our Measures: Overcoming Challenges to Quantitative Food . Security’. . Washington, DC. February 9, 2015. Food Security As Resilience: . Reconciling Definition And Measurement. How Understanding Complexity Promotes Simplicity. Why is writing software hard?. ^. great. http://www.infoq.com/presentations/Simple-Made-Easy. Our duty as software architects is to understand and manage complexity. Future Directions for . UK . Higher . Education. . Professor Louise Morley. Centre . for . Higher Education. a. nd Equity Research (. CHEER. ). University of Sussex. , . UK. . www.sussex.ac.uk/education/cheer. J. Barkley Rosser, Jr. . Marina V. Rosser. James Madison University. November, 2015. rosserjb@jmu.edu. rossermv@jmu.edu. Abstract. This paper shows which portions of complexity theory are most relevant for studying economic institutional evolution. . ?. Metrics . are . units of . measurement . that . are used to characterize. :. software engineering . products. , e.g., designs, source code, and test cases,. software engineering . processes. , e.g., the activities of analysis, designing, and coding, and. D. . Korson. CPTR 209. Software Engineering. There is Information in the Code of Interest to Testers. Complexity . information. Memory . Management . Information. Type mismatch . information. Complexity Metrics. Recommendations & Observations. Part One. Today’s Presenters. Steve Eastwood. 2-1-1 Arizona, Community Information and Referral Services, Phoenix, Arizona. Dave . Erlandson. United Way 211/Ceridian, Minneapolis, Minnesota. By. Mr. T. M. Jaya Krishna. . M.Tech. DESIGN ENGINEERING. Design within the context of software engineering. s/w. . design. sits at technical kernel = s/w engg. & - - applied regardless = s/w process model i.e. used. 5x improvement . in system development speed over current . practice. In order to. do this metrics need to be used to synthesize and select the best possible system architecture:. A key element is to choose system architectures and designs that achieve desired performance . tomotherapy. plans complexity. Tania Santos. 1,2. , Tiago . Ventura. 2. , . Josefina . Mateus. 2. , . Miguel . Capela. 2. 1 . Physics Department, University of Coimbra, Portugal. 2 . Medical Physics Department, IPOCFG, E.P.E., Portugal. Lijie. Chen. MIT. Today’s Topic. Background. . What is Fine-Grained Complexity?. The Methodology of Fine-Grained Complexity. Frontier: Fine-Grained Hardness for Approximation Problems. The Connection. Characterizing “Good” Design. Besides the obvious — . design should match the requirements. — there are two “basic” characteristics:. . C. onsistency. . across design:. Common UI. L. ooks.