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International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Dear students get fully solved SMU MBA assignments
Send your semester & Specialization name to our mail id :
“ help.mbaassignments@gmail.com ”
or
Call us at : 08263069601
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
STRATEGIES TO REDUCE REWORK IN SOFTWARE DEVELOPMENT ON AN ORGANISATION IN MAU...ijseajournal
Rework is a known vicious circle in software development since it plays a central role in the generation of
delays, extra costs and diverse risks introduced after software delivery. It eventually triggers a negative
impact on the quality of the software developed. In order to cater the rework issue, this paper goes in depth
with the notion of rework in software development as it occurs in practice by analysing a development
process on an organisation in Mauritius where rework is a major issue. Meticulous strategies to reduce
rework are then analysed and discussed. The paper ultimately leads to the recommendation of the best
strategy that is software configuration management to reduce the rework problem in software development
Why is Test Driven Development for Analytics or Data Projects so Hard?Phil Watt
Preview of research results for my Master's thesis on Test-Driven Development in Analytics. Prepared for my Term 4 assignment, oral thesis presentation
Software Defect Prediction Using Local and Global AnalysisEditor IJMTER
The software defect factors are used to measure the quality of the software. The software
effort estimation is used to measure the effort required for the software development process. The defect
factor makes an impact on the software development effort. Software development and cost factors are
also decided with reference to the defect and effort factors. The software defects are predicted with
reference to the module information. Module link information are used in the effort estimation process.
Data mining techniques are used in the software analysis process. Clustering techniques are used
in the property grouping process. Rule mining methods are used to learn rules from clustered data
values. The “WHERE” clustering scheme and “WHICH” rule mining scheme are used in the defect
prediction and effort estimation process. The system uses the module information for the defect
prediction and effort estimation process.
The proposed system is designed to improve the defect prediction and effort estimation process.
The Single Objective Genetic Algorithm (SOGA) is used in the clustering process. The rule learning
operations are carried out sing the Apriori algorithm. The system improves the cluster accuracy levels.
The defect prediction and effort estimation accuracy is also improved by the system. The system is
developed using the Java language and Oracle relation database environment.
FROM THE ART OF SOFTWARE TESTING TO TEST-AS-A-SERVICE IN CLOUD COMPUTINGijseajournal
Researchers consider that the first edition of the book "The Art of Software Testing" by Myers (1979)
initiated research in Software Testing. Since then, software testing has gone through evolutions that have
driven standards and tools. This evolution has accompanied the complexity and variety of software
deployment platforms. The migration to the cloud allowed benefits such as scalability, agility, and better
return on investment. Cloud computing requires more significant involvement in software testing to ensure
that services work as expected. In addition to testing cloud applications, cloud computing has paved the
way for testing in the Test-as-a-Service model. This review aims to understand software testing in the
context of cloud computing. Based on the knowledge explained here, we sought to linearize the evolution of
software testing, characterizing fundamental points and allowing us to compose a synthesis of the body of
knowledge in software testing, expanded by the cloud computing paradigm.
From the Art of Software Testing to Test-as-a-Service in Cloud Computingijseajournal
Researchers consider that the first edition of the book "The Art of Software Testing" by Myers (1979)
initiated research in Software Testing. Since then, software testing has gone through evolutions that have
driven standards and tools. This evolution has accompanied the complexity and variety of software
deployment platforms. The migration to the cloud allowed benefits such as scalability, agility, and better
return on investment. Cloud computing requires more significant involvement in software testing to ensure
that services work as expected. In addition to testing cloud applications, cloud computing has paved the
way for testing in the Test-as-a-Service model. This review aims to understand software testing in the
context of cloud computing. Based on the knowledge explained here, we sought to linearize the evolution of
software testing, characterizing fundamental points and allowing us to compose a synthesis of the body of
knowledge in software testing, expanded by the cloud computing paradigm.
1010 guide is essentially a flowchart to help software managers choose an efficient software project management methodology based on the metrics they have. Differentiation between critical and non-critical projects which is followed by choosing the pre-defined metrics for the team. Finally a table corresponds to the options chosen and results in a straight forward selection of the appropriate SDLC based on the values given.
Machine learning techniques can be used to analyse data from different perspectives and enable developers to retrieve useful information. Machine learning techniques are proven to be useful
in terms of software bug prediction. In this paper, a comparative performance analysis of
different machine learning techniques is explored for software bug prediction on public
available data sets. Results showed most of the machine learning methods performed well on
software bug datasets.
Comparative Performance Analysis of Machine Learning Techniques for Software ...csandit
Machine learning techniques can be used to analyse data from different perspectives and enable
developers to retrieve useful information. Machine learning techniques are proven to be useful
in terms of software bug prediction. In this paper, a comparative performance analysis of
different machine learning techniques is explored for software bug prediction on public
available data sets. Results showed most of the machine learning methods performed well on
software bug datasets.
FISHBONE ANALYSIS ON WASTES IN SOFTWARE DEVELOPMENT USING THE LEAN I.T. PRINC...ecij
The transformative global economy posed challenges to businesses in service management. In this computing age, the perceptual and operational edge of a certain business or organization manifested on the kind of technology it offers in the Service Management. Organizations have long recognized the
importance of managing key resources such as people and information. Information has now moved to its rightful place as a key resource in the organization and therefore management of the same can be instituted by employing methodology. To keep their brand promise, technology has been used;The number of new entrants to every sectors of economy has grown significantly in recent years, and each firm strives to make their daily operation efficient in which demand for business software or application software getting higher and businesses or organizations opted to build or buy this software. Because of
new entrants, it had offered opportunity to software developers to translate business processes into systems. This study investigates waste in the software development by application of Lean principles. Like any conventional projects, software becomes buggy and oftentimes it fails. Software failure is always attributed to the software engineering, not the incompetence of project managers, inadequacy of the
people on the project, or lack of clear goal. The researchers’ contentions are there wastes in the software development and serve as mechanism and evidence to why software fails. Software failure is not attributed to the software itself, it includes however the acceptance of the clients and end-users. Descriptive secondary data analysis, participant observation and Fishbone Analysis were the methodology used in the study. Wastes include unfinished or partially done work, extra features,
relearning, handoffs, delays, task switching, and defects.
STRATEGIES TO REDUCE REWORK IN SOFTWARE DEVELOPMENT ON AN ORGANISATION IN MAU...ijseajournal
Rework is a known vicious circle in software development since it plays a central role in the generation of
delays, extra costs and diverse risks introduced after software delivery. It eventually triggers a negative
impact on the quality of the software developed. In order to cater the rework issue, this paper goes in depth
with the notion of rework in software development as it occurs in practice by analysing a development
process on an organisation in Mauritius where rework is a major issue. Meticulous strategies to reduce
rework are then analysed and discussed. The paper ultimately leads to the recommendation of the best
strategy that is software configuration management to reduce the rework problem in software development
Why is Test Driven Development for Analytics or Data Projects so Hard?Phil Watt
Preview of research results for my Master's thesis on Test-Driven Development in Analytics. Prepared for my Term 4 assignment, oral thesis presentation
Software Defect Prediction Using Local and Global AnalysisEditor IJMTER
The software defect factors are used to measure the quality of the software. The software
effort estimation is used to measure the effort required for the software development process. The defect
factor makes an impact on the software development effort. Software development and cost factors are
also decided with reference to the defect and effort factors. The software defects are predicted with
reference to the module information. Module link information are used in the effort estimation process.
Data mining techniques are used in the software analysis process. Clustering techniques are used
in the property grouping process. Rule mining methods are used to learn rules from clustered data
values. The “WHERE” clustering scheme and “WHICH” rule mining scheme are used in the defect
prediction and effort estimation process. The system uses the module information for the defect
prediction and effort estimation process.
The proposed system is designed to improve the defect prediction and effort estimation process.
The Single Objective Genetic Algorithm (SOGA) is used in the clustering process. The rule learning
operations are carried out sing the Apriori algorithm. The system improves the cluster accuracy levels.
The defect prediction and effort estimation accuracy is also improved by the system. The system is
developed using the Java language and Oracle relation database environment.
FROM THE ART OF SOFTWARE TESTING TO TEST-AS-A-SERVICE IN CLOUD COMPUTINGijseajournal
Researchers consider that the first edition of the book "The Art of Software Testing" by Myers (1979)
initiated research in Software Testing. Since then, software testing has gone through evolutions that have
driven standards and tools. This evolution has accompanied the complexity and variety of software
deployment platforms. The migration to the cloud allowed benefits such as scalability, agility, and better
return on investment. Cloud computing requires more significant involvement in software testing to ensure
that services work as expected. In addition to testing cloud applications, cloud computing has paved the
way for testing in the Test-as-a-Service model. This review aims to understand software testing in the
context of cloud computing. Based on the knowledge explained here, we sought to linearize the evolution of
software testing, characterizing fundamental points and allowing us to compose a synthesis of the body of
knowledge in software testing, expanded by the cloud computing paradigm.
From the Art of Software Testing to Test-as-a-Service in Cloud Computingijseajournal
Researchers consider that the first edition of the book "The Art of Software Testing" by Myers (1979)
initiated research in Software Testing. Since then, software testing has gone through evolutions that have
driven standards and tools. This evolution has accompanied the complexity and variety of software
deployment platforms. The migration to the cloud allowed benefits such as scalability, agility, and better
return on investment. Cloud computing requires more significant involvement in software testing to ensure
that services work as expected. In addition to testing cloud applications, cloud computing has paved the
way for testing in the Test-as-a-Service model. This review aims to understand software testing in the
context of cloud computing. Based on the knowledge explained here, we sought to linearize the evolution of
software testing, characterizing fundamental points and allowing us to compose a synthesis of the body of
knowledge in software testing, expanded by the cloud computing paradigm.
1010 guide is essentially a flowchart to help software managers choose an efficient software project management methodology based on the metrics they have. Differentiation between critical and non-critical projects which is followed by choosing the pre-defined metrics for the team. Finally a table corresponds to the options chosen and results in a straight forward selection of the appropriate SDLC based on the values given.
Machine learning techniques can be used to analyse data from different perspectives and enable developers to retrieve useful information. Machine learning techniques are proven to be useful
in terms of software bug prediction. In this paper, a comparative performance analysis of
different machine learning techniques is explored for software bug prediction on public
available data sets. Results showed most of the machine learning methods performed well on
software bug datasets.
Comparative Performance Analysis of Machine Learning Techniques for Software ...csandit
Machine learning techniques can be used to analyse data from different perspectives and enable
developers to retrieve useful information. Machine learning techniques are proven to be useful
in terms of software bug prediction. In this paper, a comparative performance analysis of
different machine learning techniques is explored for software bug prediction on public
available data sets. Results showed most of the machine learning methods performed well on
software bug datasets.
FISHBONE ANALYSIS ON WASTES IN SOFTWARE DEVELOPMENT USING THE LEAN I.T. PRINC...ecij
The transformative global economy posed challenges to businesses in service management. In this computing age, the perceptual and operational edge of a certain business or organization manifested on the kind of technology it offers in the Service Management. Organizations have long recognized the
importance of managing key resources such as people and information. Information has now moved to its rightful place as a key resource in the organization and therefore management of the same can be instituted by employing methodology. To keep their brand promise, technology has been used;The number of new entrants to every sectors of economy has grown significantly in recent years, and each firm strives to make their daily operation efficient in which demand for business software or application software getting higher and businesses or organizations opted to build or buy this software. Because of
new entrants, it had offered opportunity to software developers to translate business processes into systems. This study investigates waste in the software development by application of Lean principles. Like any conventional projects, software becomes buggy and oftentimes it fails. Software failure is always attributed to the software engineering, not the incompetence of project managers, inadequacy of the
people on the project, or lack of clear goal. The researchers’ contentions are there wastes in the software development and serve as mechanism and evidence to why software fails. Software failure is not attributed to the software itself, it includes however the acceptance of the clients and end-users. Descriptive secondary data analysis, participant observation and Fishbone Analysis were the methodology used in the study. Wastes include unfinished or partially done work, extra features,
relearning, handoffs, delays, task switching, and defects.
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This is a presentation by Dada Robert in a Your Skill Boost masterclass organised by the Excellence Foundation for South Sudan (EFSS) on Saturday, the 25th and Sunday, the 26th of May 2024.
He discussed the concept of quality improvement, emphasizing its applicability to various aspects of life, including personal, project, and program improvements. He defined quality as doing the right thing at the right time in the right way to achieve the best possible results and discussed the concept of the "gap" between what we know and what we do, and how this gap represents the areas we need to improve. He explained the scientific approach to quality improvement, which involves systematic performance analysis, testing and learning, and implementing change ideas. He also highlighted the importance of client focus and a team approach to quality improvement.
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The French Revolution, which began in 1789, was a period of radical social and political upheaval in France. It marked the decline of absolute monarchies, the rise of secular and democratic republics, and the eventual rise of Napoleon Bonaparte. This revolutionary period is crucial in understanding the transition from feudalism to modernity in Europe.
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1. Dr. Debdulal Dutta Roy, Ph.D
Psychology Research Unit
INDIAN STATISTICAL INSTITUTE
Kolkata - 700108
24.8.17
INDIAN INSTITUTE OF PSYCHOMETRY
•Characteristics
•Relation with
Questionnaire
•Checklist
construction
•Application of
checklist in Task
taxonomy and
Psychiatric
classification
2. A checklist is a list of all the
things that you need to
do, information that you
want to find out, or things
that you need to take
somewhere, which you
make in order to ensure
that you do not forget
anything (Collins
dictionary).
A list of things that you must
think about, or that you
must remember to do
(Cambridge English
dictionary).
Checklist for Pre-case history
taking
Identification code
Co-operative
Non-cooperative
Able to communicate
Site selected
Informant available
3. CHECKLIST
Items are independent or
uncorrelated.
Items are discrete.
Responses are non-metric.
Scoring is possible through
data transformation.
Checklist can be used to
identify critical constructs
for questionnaire
development.
QUESTIONNAIRE
Items are correlated.
Items are summed and
scored.
Responses are metric,
quassi-continuous.
It can be scored easily.
One questionnaire
findings can be used for
construction of other
questionnaire.
4. SWOT analysis and If-Then logic
HIV checklist
Read-Do checklist
MMSE
Confirm-Do checklist
Surgery checklist
Decision making checklist
Pros-Cons checklist
7. Pros and Cons list
might only help
justify a decision
you have already
made, it does
provide an organized
way to get your
thoughts down on
paper. That process
alone can be a stress
reliever for some
people. You can also
have someone else
review your list to
offer a second
opinion, because
sometimes we may
be too emotionally
involved to make an
objective decision
on our own.
8.
9. Task-Taxonomy is the specific job related task
classification.
It provides insight about specific aptitude tests to be
developed.
It provides knowledge about possible weights to
specific task factor in selection, training and
placement.
Wage determination can be determined by using task
taxonomy data.
It can give knowledge about which individual
characteristics are to be accounted in questionnaire
construction instead of random variables.
10. 1. Comprehending users' problem
2. Converting specifications into detailed instruction
3. Drawing Program Flowchart
4. Coding into Computer languages
5. Preparing instruction for operator
6. Testing and correcting program
7. Modifying program
8. Entering data
9. Documenting program
10.Supervising juniors
11. Assisting other programmers
12. Designing computer configuration for users
13. Writing simple program to retrieve data
14. Collaborating with computer manufacturer
Based on Role playing, Observation and
informal interview
11.
12. Inapplic
able
Occasio
nally
Small
part
Moderatel
y part
Substatial
part
Significa
nt part
1. Comprehending users'
problem
3 1 11 11 46 122
2. Converting specifications into
detailed instruction
13 9 18 39 65 57
3. Drawing Program Flowchart 14 29 36 43 30 49
4. Coding into Computer
languages
12 9 17 30 43 90
5. Preparing instruction for
operator
13 13 54 36 52 33
6. Testing and correcting
program
4 3 6 31 56 101
7. Modifying program 3 9 20 50 58 61
8. Entering data 59 48 33 29 16 16
9. Documenting program 11 24 33 53 46 34
10.Supervising juniors 36 10 35 41 43 36
11. Assisting other
programmers
19 29 38 55 42 18
12. Designing computer
configuration for users
50 38 28 26 30 39
13. Writing simple program to
retrieve data
11 37 38 41 42 32
14. Collaborating with computer
manufacturer
88 43 30 19 10 11
Total 336 309 397 504 579 699
13.
14.
15. From the biplot it can be seen that out of 14
tasks three tasks namely, Coding into
Computer languages, Testing and correcting
program and Comprehending users' problem,
are more important. Whereas, Collaborating
with computer manufacturers was
inapplicable assuming that it is a job of
liaison officer. Therefore aptitude tests for
last 3 tasks are to be prepared.