This presentation introduces the application of statistics in software engineering. It begins with introducing the presenters and topic. Statistics is then defined as the science of collecting, organizing, analyzing and interpreting numerical data to make valid decisions. Software engineering is the application of engineering principles to software design, development, implementation, testing and maintenance. Some common elements between statistics and software engineering are discussed, such as data, variables, and information. Finally, the use of statistics in areas like machine learning, data science, data mining, informatics and big data is described. The presentation concludes with discussing some applications of statistics in software engineering and providing references.

1. Welcome To Our
Presentation:
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2. Presented to:
Md. Mossabber Chowdhury
Lecturer,
Ged , Daffodil International
University ,PC
Presented by:
Name: ID:
Md.Emran 181-35-312
Ibrahim hossen Ratan 181-35-297
Jubaer Ahmed Tamim 181-35-316
Minhajul Islam Tonmoy 181-35-341
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3. Topic: Application of Statistics in
software Engineering.

4. What is Statistics:
Statistics is a science of collecting,
organizing, analyzing,summarizing,
interpreting numerical data and
making valid decisions on the base
of the data.
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5. Software Engineering:
Software engineering (SWE) is the
application of engineering to the
design, development, implementation,
testing and maintenance of software in
a systematic method.
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6. Commons element of Statistics and Software
engineering..
Data:
Data Any characteristic that can differ
from one individual to the next is called a
variable. We call variables that are
measured, or somehow determined, and
collected on a number of individual’s data.
Variable:
Variable That changes its characteristics
with respect to different aspects. Such as
height, weight etc.
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7. Information:
• Information is processed data
that is given meaning by its
context.
• It is data that has been
processed into a form that is
useful.
• If data is row than Information is
product.
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8. Use of Statistics:
• Machine learning
• Data science
• Data Mining
• Informatics
• Biostatistics
• Big Data
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9. Machine learning:
Machine learning is the subfield of
computer science that "gives
computers the ability to learn without
being explicitly programmed "
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10. Data Mining:
Data mining is the analysis for data for
relationship that have not previously
been discovered
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11. Big Data :
Big data is a term that describes the
large volume of data - both structured -
that inundates a business on a day to
day knowledge basis. But it's not the
amount of data that's important.
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12. Informatics :
Informatics is the science and art
of learning data information. Also
Informatics is the science of
information and computer
information system
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13. Application of Statistics in Software
engineering (SWE):
• Investigate the computational limits of the algorithms and data
structures that support complex software systems.
• Develop new applications and tools in multi-disciplinary areas of
science and research.
• Explore opportunities for advanced computer modeling and simulation
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14. Mathematical Statistics by Keiht Knight..
Statistics for Engineers By S.J Morrison
www. Google.com
www .Wikipedia.com
Reference:

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