The presentation introduces the role of statistics in software engineering, highlighting its importance in areas such as artificial intelligence, machine learning, big data analytics, and web development. It explains how statistical methods enhance software quality and productivity across various fields, including mobile apps and financial software. The document emphasizes the interdisciplinary nature of statistics and software engineering and its applications in analyzing data for business benefits.

1. Welcome
To Our Presentation

2. Introducing
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Shahed Talukder 173-35-258
Md. Kamrul Haque 173-35-255
Abdullah al yeamin maruf 173-35-256
Showaive Hossin 173-35-263
Md. Saiful Islam 173-35-267

3. FIELD OF STATISTICS IN
SOFTWARE ENGINEERING

4. “
Statistics is the science that deals
with the collection, classification,
analysis, and interpretation of
numerical facts or data.
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5. Statistics in
Software Engineering
 Artificial Intelligence
 Recharge-based Software Development
 Developing Financial Software
 Cloud-based Server Application
 Web & Mobile apps development
 Data Mining
 Neural Network
 Algorithm Analysis
 Machine Learning
 Big Data Analytics
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The interdisciplinary field of statistics
and software engineering specializing
in the use of statistical methods for
controlling and improving the quality
and productivity of the practices used
in creating software.
Software Engineering Felds

6. Artificial
Intelligence
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Artificial intelligence (AI) is an area of computer science
that emphasizes the creation of intelligent machines
that work and react like humans.

7. Recharge-
based
Software
Development
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Software that are used to process experimental data to
assist a recharge work.

8. Machine
Learning
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Machine learning is the field of computer science that
often uses statistical techniques to give computers the
ability to "learn" (i.e. progressively improve performance
on a specific task) with data, without being explicitly
programmed.

9. Big Data
Analytics
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Big Data Analytics is the process of examining large data
sets containing a variety of data types to uncover hidden
patterns, unknown correlations other useful information.

10. Web
development
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Web analytics is the measurement, collection, analysis
and reporting of web data for purposes of
understanding and optimizing web usage. It can be
used as a tool for business and market research, and to
assess and improve the effectiveness of a website.

11. Why need
statistics in web
analytics
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Digital analytics Data science

12. Mobile Apps
development
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Consumers use mobile apps every day to connect with
friends, order food, send money, and play games. In
the mobile industry, what's driving mobile activity, how
has mobile advertising fared this year, and much more.

13. Data Mining
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Data mining is a process used by companies to analyze
raw data to learn market trend, customer preferences
and other information for benefit.

14. Neural
Network
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A Neural Network is an information processing
computer system modelled on the human brain and
nervous system.

15. Algorithm
Analysis
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Algorithm analysis is an important part of computational
complexity theory, which provides theoretical estimation
for the required resources of an algorithm to solve a
specific computational problem.

16. Developing
Financial
Software
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Financial software or financial system software is
special application software that records and
analyses all the financial activity within a business
organization.

17. Cloud-based
Server
Application
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A cloud application refers to applications, services or
resources made available to users on demand via
the Internet from a cloud computing provider's
servers.

18. 18
www.wikipedia.org
www.quora.com
www.tutorialspoint.com
www.ngdata.com
www.techopedia.com
www.dictionary.com

19. Thank you very much
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