Author | : Aybüke Aurum |
Publisher | : Springer Science & Business Media |
Total Pages | : 382 |
Release | : 2013-04-17 |
ISBN 10 | : 9783662051290 |
ISBN 13 | : 366205129X |
Language | : EN, FR, DE, ES & NL |
Managing Software Engineering Knowledge
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Language: en
Pages: 382
Pages: 382
Software development is a complex problem-solving activity with a high level of uncertainty. There are many technical challenges concerning scheduling, cost est
Language: en
Pages: 342
Pages: 342
Data-intensive systems are software applications that process and generate Big Data. Data-intensive systems support the use of large amounts of data strategical
Language: en
Pages: 478
Pages: 478
Requirements engineering is the process by which the requirements for software systems are gathered, analyzed, documented, and managed throughout their complete
Language: en
Pages: 2087
Pages: 2087
Professionals in the interdisciplinary field of computer science focus on the design, operation, and maintenance of computational systems and software. Methodol
Language: en
Pages: 222
Pages: 222
The idea of managing and transforming tacit to explicit knowledge is getting more and more attention in public systems domain. It has been quite sometime that a
Language: en
Pages: 894
Pages: 894
2012 International Conference on Software Engineering, Knowledge Engineering and Information Engineering (SEKEIE 2012) will be held in Macau, April 1-2, 2012 .
Language: en
Pages: 434
Pages: 434
This is a detailed summary of research on design rationale providing researchers in software engineering with an excellent overview of the subject. Professional
Language: en
Pages: 278
Pages: 278
The field of software engineering is characterized by speed and turbulence in many regards. While new ideas are proposed almost on a yearly basis, very few of t
Language: en
Pages: 261
Pages: 261
Nowadays, distributed software development has become more common. In a distributed project setting, managing experience is even more crucial than in a co-locat
Language: en
Pages: 368
Pages: 368
Machine learning deals with the issue of how to build computer programs that improve their performance at some tasks through experience. Machine learning algori