Automated
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Instructor | Prof. Don Batory | batory@cs.utexas.edu |
| Office Hours | GDC 5.826 Tuesday 3:30-4:30pm | ||
| Room |
GDC
2.210 |
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| Time | MW
3:30-5:00pm |
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| Unique# | CS 54123 (ECE 17294) | ||
| Ground Rules | Rules of Conduct and Academic Honesty | ||
| Your Grades | UT Blackboard Grade Book | ||
| Final Exam | TBA. |
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Prerequisites, Overview, and Goals |
A spectacular example of the integration 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 in red.
S. Trujillo, D. Batory, and O. Diaz. Feature Oriented Model Driven Development: A Case Study for Portlets. International Conference on Software Engineering (ICSE), 2007.
S. Apel. How AspectJ is Used: An Analysis of Eleven AspectJ Programs. Journal of Object Technology, 2008.
G. Freeman, D. Batory, G. Lavender, and J.N. Sarvela. Lifting Transformational Models of Product Lines: A Case Study. Software and Systems Modeling. October 2009. Best papers in ICMT'08.
B. Delaware, W. Cook, and D. Batory. Fitting the Pieces Together: A Machine-Checked Model of Safe Composition. ACM SIGSOFT FSE, August 2009.
B. Delaware, W. Cook, and D. Batory. Product Lines of Theorems. SPLASH/OOPSLA Conference, October 2011
B. Marker, D. Batory, R. van de Geijn. Code Generation and Optimization of Distributed-Memory Dense Linear Algebra Kernels . International Workshop on Automatic Performance Tuning (IWAPT), June 2013.
All
programming assignments will use Java or Prolog. You can pick up what
you need in Prolog, if you are unfamiliar with Prolog. 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 machines, well, I will try to help as much as I can,
but no promises!
Prerequisites, Overview, and Goals
NetBeans
IDE 7+ -- I prefer NetBeans to Eclipse for program
development as it is a simpler environment.
Microsoft Visio 2010/2013 -- for drawing UML diagrams. If you are a CS student, you can gain access to Visio via Software Downloads, read the MSDN/AA agreement, click the secure download site link, and follow the instructions. For ECE students, do the same at the ECE-MSDN/AA web page.
VLC Media Player -- to view .MOV videos shown in class. (You can use Windows Media Player, but its video resolution is awful). No need for this software if you are a Mac user.
SWI Prolog --
for writing metamodel constraints and model-to-model transformations.
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 an optional text for this course:
Class Grades, Projects, and Homework |
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.
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.
Schedule |
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 a web link. The order in which topics are
presented might be changed as the class progresses. (#)
indicates approximate number of class dates per subject. 
indicates code
examples can be downloaded.
Warning: I reserve the option to replace a series of lectures below with another that I feel may be better and will improve the course further.
