Quality Engineering
FPT University 2007
Objectives
Describe process of quality engineering
What are activities of quality engineering process
Quality planning
Quality execution
Quality assessment and improvement
QA & QC activities in software process
FPT
Question: Requirement engineering is the first phase in software lifecycle?
Answer: TRUE
Question: Software quality assurance is a key concern for Requirement quality assurance
Answer: FALSE
Question: RE deliverable is requirements document for system-to-
Quality Assurance In Context
FPT University 2007
Objectives
How to handling discovered defect during QA
activities?
How do different QA activities fit into software
processes ?
Examine verification and validation perspectives
Reconcile two views of QA act
K thi: Final Exam - Ngy thi: 01.03.2014
Page: 1 2 (Next)
Question 1
Marks: 1
What are the generic components in a frame diagram?
Choose at least one answer.
a. A biddable component
b. A resultant component
c. A causal component
d. A lexical component
Ques
The following statements, which are true?
a. Dot diagram is not a convenient way to see any unusual data features.
b. Dot diagram allows us to see easily two features of data, the location and scatter.
c. Dot diagram is a very useful plot for displ
1-1 Statistics in Engineering
An engineer is someone who solves problems of
interest to society by the efficient application of
scientific principles by
Refining existing products
Designing new products or processes
1-1 Statistics in Engineering
Figure
4-1 Continuous Random Variables
4-2 Probability Distributions and
Probability Density Functions
Figure 4-2 Probability determined from the area
under f(x).
4-2 Probability Distributions and
Probability Density Functions
Definition
4-2 Probability Distribu
6-1 Numerical Summaries
Definition: Sample Mean
6-1 Numerical Summaries
Example 6-1
6-1 Numerical Summaries
Figure 6-1 The sample mean as a balance point for a
system of weights.
6-1 Numerical Summaries
Population Mean
For a finite population with N measu
8-1 Introduction
In the previous chapter we illustrated how
a parameter can be estimated from sample
data. However, it is important to understand
how good is the estimate obtained.
Bounds that represent an interval of
plausible values for a parameter ar
2-1 Sample Spaces and Events
2-1.1 Random Experiments
Figure 2-1 Continuous iteration between model and
physical system.
2-1 Sample Spaces and Events
2-1.1 Random Experiments
Figure 2-2 Noise variables affect the transformation
of inputs to outputs.
2-1 S
4-1 Continuous Random Variables
4-2 Probability Distributions and
Probability Density Functions
Figure 4-2 Probability determined from the area
under f(x).
4-2 Probability Distributions and
Probability Density Functions
Definition
4-2 Probability Distribu
3-1 Discrete Random Variables
3-1 Discrete Random Variables
Example 3-1
3-1 Discrete Random Variables
Example 3-2
A semiconductor manufacturing process, two wafers from a lot are
tested. Each wafer is classified as pass or fail. Assume that the
probabilit
1-1 Statistics in Engineering
An engineer is someone who solves problems of
interest to society by the efficient application of
scientific principles by
Refining(ci tin) existing products
Designing new products or processes
1-1 Statistics in Engineering
3-1 Discrete Random Variables
3-1 Discrete Random Variables
Example 3-1
3-1 Discrete Random Variables
Example 3-2
A semiconductor manufacturing process, two wafers from a lot are
tested. Each wafer is classified as pass or fail. Assume that the
probabilit
7-1 Introduction
The field of statistical inference consists of
those methods used to make decisions or to
draw conclusions about a population.
These methods utilize the information
contained in a sample from the population in
drawing conclusions.
Stat
Assignment 2
Subject: P&S
Part A.
I. Take a data sample size of at least 30 in height (cm) of female students FU and
determine:
1. Sampling method.
2. Type of data.
3. The sample mean, variance and standard deviation
II. Summary and graphs performances ha
Bi Hong ng Thanh
SE61441
ASSIGNMENT 2
Part A.
166
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169
170
Take a data sample size of at least 30 in height (cm) of female students FU and
determine
H v tn: Nguyn Duy Anh
MSSV: SE61077
Lp: SE0770
ASSIGNMENT 2
Part A.
I. Take a data sample size of at least 30 in height (cm) of female students FU and
determine:
1. Sampling method.
2. Type of data.
3. The sample mean, variance and standard deviation
Solu
H v tn: Nguyn Duy Anh
MSSV: SE61077
Lp: SE0770
ASSIGNMENT 1
1. A Web ad can be designed from four different colors, three font types, five font sizes, three images and
five text phrases. A specific design is randomly generated by the Web server when you v
Assigment 1
1. A Web ad can be designed from four different colors, three font types, five font sizes, three images
and five text phrases. A specific design is randomly generated by the Web server when you visit the
site. Let A denote the event that the d
Assignment 2
Subject: P&S
Name: SonHVSE61570
Class: SE0970
Part A.
I. Take a data sample size of at least 30 in height (cm) of female students FU and
determine:
1. Sampling method: 148 152 166 157 146 161 153 164 172 158 155 160 163
167 151 147 155 161 16
Assignment 1
TuanBTse60824
Bi Tin Tun
1. An insurance company auto insurance 20,000 subscribers. Those who are
registered insurance companies classified by three criteria:
i) Young or old,
ii) men or women.
iii) Have wives / husbands or single.
It is know
TuanBTse60824
Bi Tin Tun
SE0669
Assignment 2
Subject: P&S
Part A.
I. Take a data sample size of at least 30 in height (cm) of female students FU and
determine:
1. Sampling method.
2. Type of data.
3. The sample mean, variance and standard deviation
Soluti
Assignment 1 P&S
1. The number of night calls to a fire station in a small town can be modeled by a
Poisson distribution with mean 4.2 per night. Find the probability that on a
particular night there will be 3 or more calls to the fire station. Station wh