Application statistics in software engineering
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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.
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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