Teaching Formal Methods CoLogNET/FME Symposium, TFM 2004, Ghent, Belgium, November 18-19, 2004. Proceedings
Synopsis
“Professional engineers can often be distinguished from other designers by the engineers’ ability to use mathematical models to describe and 1 analyze their products.” This observation by Parnas describes the de facto professional standards in all classical engineering disciplines (civil, mechanical, electrical, etc.). Unf- tunately, it is in sharp contrast with current (industrial) practice in software design, where mathematical models are hardly used at all, even by those who, 2 in Holloway’s words “aspire to be engineers.” The rare exceptions are certain critical applications, where mathematical techniques are used under the general name formal methods. Yet,thesamecharacteristicsthatmakeformalmethodsanecessityincritical applicationsmakethemalsoadvantageousineverydaysoftwaredesignatvarious levels from design e?ciency to software quality. Why, then, is education failing with respect to formal methods? – failing to convince students, academics and practitioners alike that formal methods are truly pragmatic; – failing to overcome a phobia of formality and mathematics; – failing to provide students with the basic skills and understanding required toadoptamoremathematicalandlogicalapproachtosoftwaredevelopment. Until education takes these failings seriously, formal methods will be an obscure byway in software engineering, which in turn will remain severely impoverished as a result.
Book details
- Edition:
- 2004
- Series:
- Lecture Notes in Computer Science (Book 3294)
- Author:
- C. Neville Dean, Raymond T. Boute
- ISBN:
- 9783540304722
- Related ISBNs:
- 9783540236115
- Publisher:
- Springer Berlin Heidelberg
- Pages:
- N/A
- Reading age:
- Not specified
- Includes images:
- No
- Date of addition:
- 2022-08-11
- Usage restrictions:
- Copyright
- Copyright date:
- 2004
- Copyright by:
- N/A
- Adult content:
- No
- Language:
-
English
- Categories:
-
Computers and Internet, Education, Mathematics and Statistics, Nonfiction, Philosophy, Technology