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There are 859 entries in the glossary.
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Term Definition
Design Validation

Testing to ensure that product conforms to defined user needs and/or requirements. Design validation follows successful design verification and is normally performed on the final product under defined, operating conditions. Multiple validations may be performed if there are different intended uses

 
Design Verification

Testing to ensure that all design outputs meet design input requirements. Design verification may include activities such as: Design Review, Performing Alternate Calculations, Understanding Tests & Demonstrations and Review of Design Stage Documents Before Release

 
Designing in quality vs. inspecting in qsee prevention vs. detection
 
Development methodology

A systematic approach to software creation that defines development phases and specifies the activities, products, verification procedures, and completion criteria for each phase. See: incremental development, rapid prototyping, spiral model, waterfall model

 
DFADesign For Assembly 
 
DFMDesign For Manufacturing 
 
DFMEA

Design Failure Mode Effects Analysis: An analytical technique used to assure that potential design failure modes and associated causes have been considered and addressed. [See FMEA, PFMEA] 

 
Diagnostic

Pertaining to the detection and isolation of faults or failures. For example, a diagnostic message, a diagnostic manual

 
DISADefense Information Systems Agency 
 
Discounted Cash Flow

A method of performing an economic analysis that takes the time value of money into account. Used to remove interest rates and inflation factors from a calculation so that the results of analysis are comparable

 
Discrete Random VariableA random variable which can assume values only from a definite number of discrete values
 
Distributions

Tendency of large numbers of observations to group themselves around some central value with a certain amount of variation or "scatter" on either side 

 
Documentation MaterialDefining the process to be followed (e.g, quality manual, operator instructions, graphics, pictorials)
 
Dodge-Romig sampling plans

Plans for acceptance sampling developed by Harold F. Dodge and Harry G. Romig. Four sets of tables were published in 1940: single-sampling lot tolerance tables, double-sampling lot tolerance tables, single-sampling average outgoing quality limit tables, and double-sampling average outgoing quality limit tables

 
DOE (Design of experiments)

DOE is the science of designing sets of experiments which will generate enough useful data to make sound decisions without costing too much or taking too long

 
DPMODefects per million opportunities
 
DPUDefects per unit
 
Durability

The probability that an item will continue to function at customer expectation levels, at the useful life without requiring overhaul or rebuild due to wear out

 
DyadsTwo person teams
 
Dynamic analysis

Analysis that is performed by executing the program code. Contrast with static analysis. See: testing

 
Economic Analysis

A formal method of comparing two or more alternative ways of accomplishing a set objective, given a set of assumptions and constraints and the costs and benefits of each alternative, such that the analysis will indicate the optimum choice

 
Effectiveness

The state of having produced a decided or desired effect; the state of achieving customer satisfaction 

 
EfficiencyA measure of performance that compares output with cost or resource utilization 
 
Embedded software

Software that is part of a larger system and performs some of the requirements of that system; e,g., software used in an aircraft or rapid transit system. Such software does not provide an interface with the user. See: firmware

 
Employee involvement

Regular participation of employees in decision-making and suggestions. The driving forces behind increasing the involvement of employees are the conviction that more brains are better, that people in the process know it best, and that involved employees will be more motivated to do what is best for the organization

 
EmpowermentA condition whereby employees have the authority to make decisions and take action in their work areas without prior approval. For example, an operator can stop a production process if he detects a problem or a customer service representative can send out a replacement product if a customer calls with a problem
 
End user

(1) A person, device, program, or computer system that uses an information system for the purpose of data processing in information exchange. (2) A person whose occupation requires the use of an information system but does not require any knowledge of computers or computer programming. See: user

 
EnterpriseAn organization that exists to perform a specific mission and achieve associated goals and objectives
 
Entity

The representation of a set of real or abstract things (people, objects, places, events, ideas, combination of things, etc.) that are recognized as the same type because they share the same characteristics and can participate in the same relationships

 
Entity relationship diagram

A diagram that depicts a set of real-world entities and the logical relationships among them. See: data structure diagram

 
Environment

(1) Everything that supports a system or the performance of a function. (2) The conditions that affect the performance of a system or function

 
Equivalence class partitioning

Partitioning the input domain of a program into a finite number of classes [sets], to identify a minimal set of well selected test cases to represent these classes. There are two types of input equivalence classes, valid and invalid

 
Error

A discrepancy between a computed, observed, or measured value or condition and the true, specified, or theoretically correct value or condition. See: anomaly, bug, defect, exception, fault

 
Error analysisSee: debugging, failure analysis
 
Error detection

Techniques used to identify errors in data transfers. See: check summation, cyclic redundancy check [CRC], parity check, longitudinal redundancy

 
Error guessing Test data selection technique. The selection is to pick values that are likely to cause errors
 
Error seeding

The process of intentionally adding known faults to those already in a computer program for the purpose of monitoring the rate of detection and removal, and estimating the number of faults remaining in the program. Contrast with mutation analysis

 
Event

A happening, the arrival of a significant point in time, a change in status of something or the occurrence of something external that causes the business to react

 
Event tableA table which lists events and the corresponding specified effect[s] of or reaction[s] to each event
 
Exception

An event that causes suspension of normal program execution. Types include addressing exception, data exception, operation exception, overflow exception, protection exception, underflow exception

 
Exception conditions responses tableA special type of event table
 
Execution trace

A record of the sequence of instructions executed during the execution of a computer program. Often takes the form of a list of code labels encountered as the program executes. Syn: code trace, control flow trace. See: retrospective trace, subroutine trace, symbolic trace, variable trace

 
Executive OverviewThe course that teaches key executives their role in the Quality Process
 
Expectations

Customer perceptions about how a product or service will meet their needs and requirements; expectations for a product or service are shaped by many factors; including the specific use the customer intends to make of it, prior experience with a similar product or service and representations and commitments made by marketing and advertising

 
Experiment

A test under defined conditions to determine an unknown effect; to illustrate or verify a known law; to test or establish a hypothesis

 
Experimental design

A formal plan that details the specifics for conducting an experiment, such as which responses, factors, levels, blocks, treatments, and tools are to be used

 
Experimental Error

Variation in observations made under identical test conditions. Also called residual error. The amount of variation which cannot be attributed to the variables included in the experiment

 
External customer

A person or organization outside your organization who receives the output of a process. Of all external customers, the end-user should be the most important

 
External test data

Test data that is at the extreme or boundary of the domain of an input variable or which produces results at the boundary of an output domain

 
Facilitator

Person who helps a team with issues of teamwork, communication, and problem-solving. A facilitator should not contribute to the actual content of the team's project, focusing instead as an observer of the team's functioning as a group

 


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