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Welcome To Our
Presentation:
1
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
2
Topic: Application of Statistics in
software Engineering.
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.
4
Software Engineering:
Software engineering (SWE) is the
application of engineering to the
design, development, implementation,
testing and maintenance of software in
a systematic method.
5
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.
6
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.
7
Use of Statistics:
• Machine learning
• Data science
• Data Mining
• Informatics
• Biostatistics
• Big Data
8
Machine learning:
Machine learning is the subfield of
computer science that "gives
computers the ability to learn without
being explicitly programmed "
9
Data Mining:
Data mining is the analysis for data for
relationship that have not previously
been discovered
10
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.
11
Informatics :
Informatics is the science and art
of learning data information. Also
Informatics is the science of
information and computer
information system
12
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
13
Mathematical Statistics by Keiht Knight..
Statistics for Engineers By S.J Morrison
www. Google.com
www .Wikipedia.com
Reference:
Add a Slide Title - 1
Any Question

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Application statistics in software engineering

  • 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 2
  • 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. 4
  • 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. 5
  • 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. 6
  • 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. 7
  • 8. Use of Statistics: • Machine learning • Data science • Data Mining • Informatics • Biostatistics • Big Data 8
  • 9. Machine learning: Machine learning is the subfield of computer science that "gives computers the ability to learn without being explicitly programmed " 9
  • 10. Data Mining: Data mining is the analysis for data for relationship that have not previously been discovered 10
  • 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. 11
  • 12. Informatics : Informatics is the science and art of learning data information. Also Informatics is the science of information and computer information system 12
  • 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 13
  • 14. Mathematical Statistics by Keiht Knight.. Statistics for Engineers By S.J Morrison www. Google.com www .Wikipedia.com Reference:
  • 15. Add a Slide Title - 1 Any Question