Software Engineering with Computational Intelligence:
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 challeng...
Gespeichert in:
| Weitere Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Boston, MA
Springer US
2003
|
| Schriftenreihe: | The Springer International Series in Engineering and Computer Science
731 |
| Schlagworte: | |
| Online-Zugang: | FHI01 BTU01 Volltext |
| Zusammenfassung: | 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 |
| Beschreibung: | 1 Online-Ressource (XI, 361 p) |
| ISBN: | 9781461504290 |
| DOI: | 10.1007/978-1-4615-0429-0 |
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| 520 | |a 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 | ||
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Datensatz im Suchindex
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| indexdate | 2024-07-10T08:10:02Z |
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| isbn | 9781461504290 |
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| spelling | Software Engineering with Computational Intelligence edited by Taghi M. Khoshgoftaar Boston, MA Springer US 2003 1 Online-Ressource (XI, 361 p) txt rdacontent c rdamedia cr rdacarrier The Springer International Series in Engineering and Computer Science 731 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 Computer Science Computer Applications Software Engineering/Programming and Operating Systems Artificial Intelligence (incl. Robotics) Computer science Software engineering Artificial intelligence Application software Software Engineering (DE-588)4116521-4 gnd rswk-swf Soft Computing (DE-588)4455833-8 gnd rswk-swf 1\p (DE-588)4143413-4 Aufsatzsammlung gnd-content Software Engineering (DE-588)4116521-4 s Soft Computing (DE-588)4455833-8 s 2\p DE-604 Khoshgoftaar, Taghi M. edt Erscheint auch als Druck-Ausgabe 9781461350729 https://doi.org/10.1007/978-1-4615-0429-0 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Software Engineering with Computational Intelligence Computer Science Computer Applications Software Engineering/Programming and Operating Systems Artificial Intelligence (incl. Robotics) Computer science Software engineering Artificial intelligence Application software Software Engineering (DE-588)4116521-4 gnd Soft Computing (DE-588)4455833-8 gnd |
| subject_GND | (DE-588)4116521-4 (DE-588)4455833-8 (DE-588)4143413-4 |
| title | Software Engineering with Computational Intelligence |
| title_auth | Software Engineering with Computational Intelligence |
| title_exact_search | Software Engineering with Computational Intelligence |
| title_full | Software Engineering with Computational Intelligence edited by Taghi M. Khoshgoftaar |
| title_fullStr | Software Engineering with Computational Intelligence edited by Taghi M. Khoshgoftaar |
| title_full_unstemmed | Software Engineering with Computational Intelligence edited by Taghi M. Khoshgoftaar |
| title_short | Software Engineering with Computational Intelligence |
| title_sort | software engineering with computational intelligence |
| topic | Computer Science Computer Applications Software Engineering/Programming and Operating Systems Artificial Intelligence (incl. Robotics) Computer science Software engineering Artificial intelligence Application software Software Engineering (DE-588)4116521-4 gnd Soft Computing (DE-588)4455833-8 gnd |
| topic_facet | Computer Science Computer Applications Software Engineering/Programming and Operating Systems Artificial Intelligence (incl. Robotics) Computer science Software engineering Artificial intelligence Application software Software Engineering Soft Computing Aufsatzsammlung |
| url | https://doi.org/10.1007/978-1-4615-0429-0 |
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