CS 392F Automated Software Design
Fall 2015


Title: cs 392F review session
Room: GDC 6.302 CS Faculty Lounge
Date: Thursday, December 10, 2015
Time: 10:00 to 12:05 

Professor Don Batory batory@cs.utexas.edu
office hours Friday 4pm GDC 5.826
TA Alyssa Williams
office hours email to set appointment
Room GDC 6.202
Days and Time MW 3:30-5pm
Unique # 51020
Ground Rules UTCS Rules to Live By and Academic Honesty
Your Grades Canvas
Final Friday, December 11, 7-10pm, GDC 5.302

Prerequisites, Overview, and Goals

This course explores leading edge paradigms for automated software design and software modularity from advances in:

A spectacular example of the integration of most of these areas was realized thirty-five years ago: relational query optimization (RQO). A relational query is specified in SQL, a parser maps it to an inefficient relational algebra expression, a query optimizer optimizes the expression automatically, and an efficient query evaluation program is generated from the optimized expression. SQL is a prototypical declarative DSL. Query evaluation programs are specified as compositions of relational algebra operations; relational algebra is a prototype for compositional programming. Query optimizers achieve automatic programming by rewriting an inefficient expression/program to a semantically equivalent but more efficient expression/program. The cost models that drive expression optimization are examples of program analysis. Mapping a relational algebra expression to an efficient program is generative programming and is an elementary example of model driven engineering.

A "holy grail" of Software Engineering is to replicate the success of RQO in other domains. Feature Oriented Software Development is a generalization, and its ideas are at the confluence next-generation research topics in software modularity, program design and program synthesis: OO design, product-lines, program refactoring, model driven engineering, program evolution, and program transformations.

Prior offerings of this course lead to student publications and research degrees (M.Sc. and Ph.D). Some publications -- not all -- are listed below, the most recent listed last.

 Programming Assignments

All programming assignments will use Java or Prolog. You can pick up what you need in Prolog, if you are unfamiliar with it. We will use the following software, all of which is free to UTCS students, and all of which has been installed in the UTCS public labs.  The following is for Windows Platforms.  If you use Apple or Linux machines, well, I will try to help as much as I can, but no promises!

Please note that some Java programs will be released and updated during the Semester.  These programs are NOT installed on the UTCS public labs.  You will have to install these updates yourself.  Their links will be posted on assignments.

Finally, you'll need a tool to draw UML diagrams.  For lack of anything better, use the Violet tool that is part of the Avalon distributable (which will be used in early class programming assignments).

Course Prerequisites

Basic familiarity with the following topics are assumed -- all that is needed will be covered, but some prior experience will help greatly:

As mentioned above, Prolog will be used in assignments. I expect that you'll pick up what you need.

Lecture Notes and Texts

Lecture notes will be presented online (after the lecture) as downloadable PPTX files.  Links to the lectures are given below in the Course Outline. There is a required text for this course:

The University Co-op has new copies of this text weighing in at $29. This text is now available as a kindle ebook from Amazon.  Hint: I am unimpressed with today’s ebooks.  They are as expensive as hard copies and ebook software sucks.  Your call.

Class Grades, Projects, and Homework

Final grades will be determined approximately by the following scheme:

  1. Your accumulative programming assignment grade will determine the maximum final grade for the course.  Ex: if you get a "B" average across all of your programming projects, your final grade will be no greater than a "B".
  2. Final counts 35%; midterm counts 35%; classroom participation 15%; and class presentation counts 15%.

Each group of students will complete an approved project by the end of the class.  A classroom presentation on every project is expected.  Details on the projects will be announced later.

All programming projects are to be submitted through Canvas.  A PDF file must be included on all assignments -- it lists your name and email addresses that are hyperlinked so that I can easily send my comments of your assignment back to you.

Extenuating Circumstances

If you have difficulty meeting the requirements of this course, fail to hand in an assignment, or miss an exam because of extenuating circumstances, please advise the instructor in writing at the earliest possible date so that your situation can be discussed. If you encounter an unexpected medical or family emergency or a random act of Nature that causes you to miss the due date for homework or miss a quiz or exam, you must present suitable documentation in writing to the instructor before special consideration will be given. A file of all written correspondence will be kept by the instructor and decisions regarding them will be made at the end of the semester.


Numbers in [brackets] indicates the estimated number of lectures on a topic. The number indicated is a lower-bound, as there will be class room discussions to work on problems and review of homework assignments. Papers that are listed below are required readings and are accessible via its web link.  The order in which topics are presented might be changed as the class progresses.

The syllabus on the first day of class is here (to be posted after the first class), as I do modify this page as the course progresses, like posting new assignments, readings, and lectures.

[# of lectures + days of discussion]



Pre-Course Survey
PreCourse Survey Results

1. Introduction to Model Driven Engineering  [5] 

  1. UML class diagrams, MDE models and metamodels, model-2-text xforms
  2. Metamodel constraints, OCL, model-to-model xforms, ATLAS, prolog
  3. Building Domain-Specific Tools with MDE
  4. Bootstrapping MDE Tools
  5. Metamodel Equivalence and Metamodel Refactorings


H1: Mapping to Tables
Tues Sept 1, 10pm

H2: MetaModels
Due Tues Sept 8, 10pm

P1: Model-2-Text 
Mon Sept  7th, 10pm

: Model-2-Model
Due Mon Sept 14th, 10pm

: FSM  Tool
Due Mon  Sept 21st, 10pm

2. Feature Models and Software Product Lines [3] 

  • Feature models, attribute grammars, propositional formulas, SAT solvers
  • Feature model analyses, reasoning about edits
  • Next generation feature models, feature replication, multi product lines


H3: Model Equivalence
Due Wed Sept 23rd, 10pm

H4: Conjunctive Normal Form (CNF)
and Feature Model Negation
Due Tues Sept 29, 10pm

Optional H4B:
Feature Model Equivalence
Due Fri Oct 9th, 10pm

3. Feature Oriented Software Development (a.k.a. Feature Modularity) [4] 

  • Layered designs, OO virtual machines, collaborations, extensions, mixins, mixin-layers
  • FOSD, principles of uniformity and scalability, generalized modularity, composition
  • HelloWorld.zip example in FeatureHouse



P5: Feature Modularity
Due Tues Oct 20, 10pm

Midterm                                      Monday Oct 19th
4. Feature Interactions and Product Lines of Product Lines [2]
  • Feature interactions, formal models of feature modules and interactions
  • Software product lines of rank n>1, examples, and open problems


H5: Feature Interaction Algebras
Due Thur Oct 22, 5pm

P6: Product Line of Product Lines
Due Thurs Oct 29, 10pm

Solutions to Halloween Quiz

5. Refactorings  [3] 

  • Review of Refactorings and Design Patterns
  • Reflective Refactoring


H6: Optional Extra Homework
+ Solutions

P7: Creating a Simple Visitor
Due Mon Nov 9th, 10pm

6. Design By Transformation [3] 

  • Map reduce, Liskov and Perry substitution principles, refinement, optimization, correct-by-construction
  • Parallel architectures, product lines of streaming applications
  • Product lines of streaming applications


  • Modeling in Event-B (1st 2 chapters)


7. Categories [4]

score card for categories

  • Domains, instances, arrows and MDE
  • Pragmatics, inheritance, SPLs, functors, examples, commuting diagrams
  • Products, product families, products of categories, pushouts
  • Applications: portlet synthesis, geodesics, lifting, homomorphisms, test generation



Read Chapters 1-2 in
Pierce Text

H7: Categorical Constructions Solution
Due Friday, Dec 4th 10pm

Solution Video

Solution PPTX


Final Review  
Thursday 10-12noon 
GDC 6.302 
faculty lounge
Final Solutions
Post-Course Exit SurveyPostCourse Knowledge Survey
Course Evaluation Survey