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Teaching materials for Model-based Automated Software Engineering

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At a glance... | Syllabus | Models | Code | Lecturer

Q: What is the next "big thing" after "big data"?

A: Well, after "data collection" comes "model construction" so the next big thing after big data will be "big modeling". In this subject, students will learn how to represent, execute, and reason about models. Our case studies will come from software engineering but the principles of this subject could be applied to models in general.

FYI- our name is MASE, rhymes with "base", pronounced "mace". MASE = "why" + "how" of search-based optimization for exploring models (with Coding examples in Python 2.7+.)

 <td align=center><img src="img/lectures.gif">
News Lectures Homework Review Cool stuff
2. New video archive
1. NASA Internship
0. News archive.
  1. MOEA/D
  2. Transfer
  3. NSGAII,SPEA2
  4. Less than
  5. Stats
  6. GALE (code)
  7. PSO
  8. Gadgets
  9. DE
  10. Effort Estimation
    (Dr. Hoa's talk)

  11. DSLs
  12. MaxWalkSat
  13. SA 101
  14. Abstraction
  15. SBSE 101
  16. About
11. Code980
10. Code7
9. Code6
8. Code5
7. Python:TDD
6. Video:TDD
5. Video:Read12..
4. Code4
3. Code3
2. Code2
1. Code1
0. Read123456789
  1. Review7
  2. Review6
  3. Review5
  4. Review4
  5. Review3
  6. Review2
  7. Review1
12. Scott Knott Demo
11. Cxt manager2
10. Cxt manager1
9. auto norm
8. SA calc
7. Goals; history
6. Relax, paper
5. Tuned
4. Brief
3. Glory
2. Doubt:: notes,mod
1. Beauty
0. Eureqa! pdf | talk

Copyright © 2015 Tim Menzies. This is free and unencumbered software released into the public domain.
For more details, see the license.

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