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Key Performance Parameters (KPPs) specify what the critical performance goals are in a United States Department of Defense (DoD) acquisition under the JCIDS process. [1] [2] ...
Delivery schedule adherence (DSA) is a business metric used to calculate the timeliness of deliveries from suppliers. It is a commonly used supply chain metric and forms part of the Quality, Cost, Delivery group of performance indicators.
The Power of 10 Rules were created in 2006 by Gerard J. Holzmann of the NASA/JPL Laboratory for Reliable Software. [1] The rules are intended to eliminate certain C coding practices which make code difficult to review or statically analyze.
The police version of ten-codes is officially known as the APCO Project 14 Aural Brevity Code. [ 1 ] The codes, developed during 1937–1940 and expanded in 1974 by the Association of Public-Safety Communications Officials-International (APCO), allow brevity and standardization of message traffic.
The 15 minutes rules for on time performance is commonly applied throughout the airline industry. [3] Airlines typically perform well when their on time performance reaches 90%. [4] OAG and Cirium regularly publish airline on time performance rankings and data. [5] in 2022, Cirium named Azul Airlines the most on-time airline. [6]
An example would be switch from a superiority to a non-inferiority design. Group sequential Sample size, by a set interval at a time. Sample sizes can be changed. These trials usually change the sample size by adding or removing set-blocks of patients such as adding 20 patients at a time, and then re-evaluating.
A Technology Readiness Level Calculator was developed by the United States Air Force. [6] This tool is a standard set of questions implemented in Microsoft Excel that produces a graphical display of the TRLs achieved. This tool is intended to provide a snapshot of technology maturity at a given point in time. [7]
"Don't repeat yourself" (DRY), also known as "duplication is evil", is a principle of software development aimed at reducing repetition of information which is likely to change, replacing it with abstractions that are less likely to change, or using data normalization which avoids redundancy in the first place.