|
Books > Computing & IT > Applications of computing > Artificial intelligence
|
Buy Now
Software Engineering with Computational Intelligence (Paperback, Softcover reprint of the original 1st ed. 2003)
Loot Price: R4,252
Discovery Miles 42 520
|
|
|
Software Engineering with Computational Intelligence (Paperback, Softcover reprint of the original 1st ed. 2003)
Series: The Springer International Series in Engineering and Computer Science, 731
Expected to ship within 10 - 15 working days
|
Donate to Against Period Poverty
Total price: R4,272
Discovery Miles: 42 720
|
The constantly evolving technological infrastructure of the modem
world presents a great challenge of developing software systems
with increasing size, complexity, and functionality. The software
engineering field has seen changes and innovations to meet these
and other continuously growing challenges by developing and
implementing useful software engineering methodologies. Among the
more recent advances are those made in the context of software
portability, formal verification* techniques, software measurement,
and software reuse. However, despite the introduction of some
important and useful paradigms in the software engineering
discipline, their technological transfer on a larger scale has been
extremely gradual and limited. For example, many software
development organizations may not have a well-defined software
assurance team, which can be considered as a key ingredient in the
development of a high-quality and dependable software product.
Recently, the software engineering field has observed an increased
integration or fusion with the computational intelligence (Cl)
field, which is comprised of primarily the mature technologies of
fuzzy logic, neural networks, genetic algorithms, genetic
programming, and rough sets. Hybrid systems that combine two or
more of these individual technologies are also categorized under
the Cl umbrella. Software engineering is unlike the other
well-founded engineering disciplines, primarily due to its human
component (designers, developers, testers, etc. ) factor. The
highly non-mechanical and intuitive nature of the human factor
characterizes many of the problems associated with software
engineering, including those observed in development effort
estimation, software quality and reliability prediction, software
design, and software testing.
General
Is the information for this product incomplete, wrong or inappropriate?
Let us know about it.
Does this product have an incorrect or missing image?
Send us a new image.
Is this product missing categories?
Add more categories.
Review This Product
No reviews yet - be the first to create one!
|
You might also like..
|
Welcome to Loot.co.za!
Sign in / Register |Wishlists & Gift Vouchers |Help | Advanced search
