Advances in machine learning applications in software engineering:
"This book provides analysis, characterization and refinement of software engineering data in terms of machine learning methods. It depicts applications of several machine learning approaches in software systems development and deployment, and the use of machine learning methods to establish pr...
Gespeichert in:
| Weitere Verfasser: | , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Hershey ; London ; Melbourne ; Singapore
Idea Group Publishing
[2007]
|
| Schlagworte: | |
| Online-Zugang: | DE-706 DE-1049 DE-898 DE-1050 DE-83 Volltext |
| Zusammenfassung: | "This book provides analysis, characterization and refinement of software engineering data in terms of machine learning methods. It depicts applications of several machine learning approaches in software systems development and deployment, and the use of machine learning methods to establish predictive models for software quality while offering readers suggestions by proposing future work in this emerging research field" - Provided by publisher |
| Beschreibung: | Includes bibliographical references and index |
| Beschreibung: | 1 Online-Ressource (xv, 480 Seiten) |
| ISBN: | 9781591409434 1591409438 |
Internformat
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| 245 | 1 | 0 | |a Advances in machine learning applications in software engineering |c Du Zhang (California State University, USA), Jeffery J.P. Tsai (University of Illinois at Chicago, USA) |
| 264 | 1 | |a Hershey ; London ; Melbourne ; Singapore |b Idea Group Publishing |c [2007] | |
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| 505 | 8 | |a Preface -- 1. A two-stage zone regression method for global characterization of a project database / J.J. Dolado, D. Rodr iguez, J. Riquelme, F. Ferrer-Troyano, J.J. Cuadrado -- 2. Intelligent analysis of software maintenance data / Marek Reformat, Petr Musilek, Efe Igbide -- 3. Improving credibility of machine learner models in software engineering / Gary D. Boetticher -- 4. ILP applications to software engineering / Daniele Gunetti -- 5. MMIR : an advanced content-based image retrieval system using a hierarchical learning framework / Min Chen, Shu-Ching Chen -- 6. A genetic algorithm-based QoS analysis tool for reconfigurable service-oriented systems / I-Ling Yen, Tong Gao, Hui Ma -- 7. Fuzzy logic classifiers and models in quantitative software engineering / Witold Pedrycz, Giancarlo Succi -- 8. Modeling relevance relations using machine learning techniques / Jelber Sayyad Shirabad, Timothy C. Lethbridge, Stan Matwin -- 9. A practical software quality classification model using genetic programming / Yi Liu, Taghi M. Khoshgoftaar -- 10. A statistical framework for the prediction of fault-proneness / Yan Ma, Lan Guo, Bojan Cukic -- 11. Applying rule induction in software prediction / Bhekisipho Twala, Michelle Cartwright, Martin Shepperd -- 12. Application of genetic algorithms in software testing / Baowen Xu, Xiaoyuan Xie, Liang Shi, Changhai Nie -- 13. Formal methods for specifying and analyzing complex software systems / Xudong He, Huiqun Yu, Yi Deng | |
| 505 | 8 | |a 14. Practical considerations in automatic code generation / Paul Dietz, Aswin van den Berg, Kevin Marth, Thomas Weigert, Frank Weil -- 15. DPSSEE : a distributed proactive semantic software engineering environment / Donghua Deng, Phillip C.-Y. Sheu -- 16. Adding context into an access control model for computer security policy / Shangping Ren, Jeffrey J.P. Tsai, Ophir Frieder | |
| 520 | |a "This book provides analysis, characterization and refinement of software engineering data in terms of machine learning methods. It depicts applications of several machine learning approaches in software systems development and deployment, and the use of machine learning methods to establish predictive models for software quality while offering readers suggestions by proposing future work in this emerging research field" - Provided by publisher | ||
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Datensatz im Suchindex
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| contents | Preface -- 1. A two-stage zone regression method for global characterization of a project database / J.J. Dolado, D. Rodr iguez, J. Riquelme, F. Ferrer-Troyano, J.J. Cuadrado -- 2. Intelligent analysis of software maintenance data / Marek Reformat, Petr Musilek, Efe Igbide -- 3. Improving credibility of machine learner models in software engineering / Gary D. Boetticher -- 4. ILP applications to software engineering / Daniele Gunetti -- 5. MMIR : an advanced content-based image retrieval system using a hierarchical learning framework / Min Chen, Shu-Ching Chen -- 6. A genetic algorithm-based QoS analysis tool for reconfigurable service-oriented systems / I-Ling Yen, Tong Gao, Hui Ma -- 7. Fuzzy logic classifiers and models in quantitative software engineering / Witold Pedrycz, Giancarlo Succi -- 8. Modeling relevance relations using machine learning techniques / Jelber Sayyad Shirabad, Timothy C. Lethbridge, Stan Matwin -- 9. A practical software quality classification model using genetic programming / Yi Liu, Taghi M. Khoshgoftaar -- 10. A statistical framework for the prediction of fault-proneness / Yan Ma, Lan Guo, Bojan Cukic -- 11. Applying rule induction in software prediction / Bhekisipho Twala, Michelle Cartwright, Martin Shepperd -- 12. Application of genetic algorithms in software testing / Baowen Xu, Xiaoyuan Xie, Liang Shi, Changhai Nie -- 13. Formal methods for specifying and analyzing complex software systems / Xudong He, Huiqun Yu, Yi Deng 14. Practical considerations in automatic code generation / Paul Dietz, Aswin van den Berg, Kevin Marth, Thomas Weigert, Frank Weil -- 15. DPSSEE : a distributed proactive semantic software engineering environment / Donghua Deng, Phillip C.-Y. Sheu -- 16. Adding context into an access control model for computer security policy / Shangping Ren, Jeffrey J.P. Tsai, Ophir Frieder |
| ctrlnum | (OCoLC)978278217 (DE-599)BVBBV044232643 |
| format | Electronic eBook |
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| spelling | Advances in machine learning applications in software engineering Du Zhang (California State University, USA), Jeffery J.P. Tsai (University of Illinois at Chicago, USA) Hershey ; London ; Melbourne ; Singapore Idea Group Publishing [2007] © 2007 1 Online-Ressource (xv, 480 Seiten) txt rdacontent c rdamedia cr rdacarrier Includes bibliographical references and index Preface -- 1. A two-stage zone regression method for global characterization of a project database / J.J. Dolado, D. Rodr iguez, J. Riquelme, F. Ferrer-Troyano, J.J. Cuadrado -- 2. Intelligent analysis of software maintenance data / Marek Reformat, Petr Musilek, Efe Igbide -- 3. Improving credibility of machine learner models in software engineering / Gary D. Boetticher -- 4. ILP applications to software engineering / Daniele Gunetti -- 5. MMIR : an advanced content-based image retrieval system using a hierarchical learning framework / Min Chen, Shu-Ching Chen -- 6. A genetic algorithm-based QoS analysis tool for reconfigurable service-oriented systems / I-Ling Yen, Tong Gao, Hui Ma -- 7. Fuzzy logic classifiers and models in quantitative software engineering / Witold Pedrycz, Giancarlo Succi -- 8. Modeling relevance relations using machine learning techniques / Jelber Sayyad Shirabad, Timothy C. Lethbridge, Stan Matwin -- 9. A practical software quality classification model using genetic programming / Yi Liu, Taghi M. Khoshgoftaar -- 10. A statistical framework for the prediction of fault-proneness / Yan Ma, Lan Guo, Bojan Cukic -- 11. Applying rule induction in software prediction / Bhekisipho Twala, Michelle Cartwright, Martin Shepperd -- 12. Application of genetic algorithms in software testing / Baowen Xu, Xiaoyuan Xie, Liang Shi, Changhai Nie -- 13. Formal methods for specifying and analyzing complex software systems / Xudong He, Huiqun Yu, Yi Deng 14. Practical considerations in automatic code generation / Paul Dietz, Aswin van den Berg, Kevin Marth, Thomas Weigert, Frank Weil -- 15. DPSSEE : a distributed proactive semantic software engineering environment / Donghua Deng, Phillip C.-Y. Sheu -- 16. Adding context into an access control model for computer security policy / Shangping Ren, Jeffrey J.P. Tsai, Ophir Frieder "This book provides analysis, characterization and refinement of software engineering data in terms of machine learning methods. It depicts applications of several machine learning approaches in software systems development and deployment, and the use of machine learning methods to establish predictive models for software quality while offering readers suggestions by proposing future work in this emerging research field" - Provided by publisher Software engineering Self-adaptive software Application software Machine learning Software Engineering (DE-588)4116521-4 gnd rswk-swf Maschinelles Lernen (DE-588)4193754-5 gnd rswk-swf (DE-588)4143413-4 Aufsatzsammlung gnd-content Maschinelles Lernen (DE-588)4193754-5 s Software Engineering (DE-588)4116521-4 s DE-604 Zhang, Du edt Tsai, Jeffrey J. P. (DE-588)105579803X edt Erscheint auch als Druck-Ausgabe 978-1-59140-941-0 Erscheint auch als Druck-Ausgabe 1-59140-941-1 Erscheint auch als Druck-Ausgabe 978-1-59140-942-7 Erscheint auch als Druck-Ausgabe 1-59140-942-X http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-59140-941-0 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Advances in machine learning applications in software engineering Preface -- 1. A two-stage zone regression method for global characterization of a project database / J.J. Dolado, D. Rodr iguez, J. Riquelme, F. Ferrer-Troyano, J.J. Cuadrado -- 2. Intelligent analysis of software maintenance data / Marek Reformat, Petr Musilek, Efe Igbide -- 3. Improving credibility of machine learner models in software engineering / Gary D. Boetticher -- 4. ILP applications to software engineering / Daniele Gunetti -- 5. MMIR : an advanced content-based image retrieval system using a hierarchical learning framework / Min Chen, Shu-Ching Chen -- 6. A genetic algorithm-based QoS analysis tool for reconfigurable service-oriented systems / I-Ling Yen, Tong Gao, Hui Ma -- 7. Fuzzy logic classifiers and models in quantitative software engineering / Witold Pedrycz, Giancarlo Succi -- 8. Modeling relevance relations using machine learning techniques / Jelber Sayyad Shirabad, Timothy C. Lethbridge, Stan Matwin -- 9. A practical software quality classification model using genetic programming / Yi Liu, Taghi M. Khoshgoftaar -- 10. A statistical framework for the prediction of fault-proneness / Yan Ma, Lan Guo, Bojan Cukic -- 11. Applying rule induction in software prediction / Bhekisipho Twala, Michelle Cartwright, Martin Shepperd -- 12. Application of genetic algorithms in software testing / Baowen Xu, Xiaoyuan Xie, Liang Shi, Changhai Nie -- 13. Formal methods for specifying and analyzing complex software systems / Xudong He, Huiqun Yu, Yi Deng 14. Practical considerations in automatic code generation / Paul Dietz, Aswin van den Berg, Kevin Marth, Thomas Weigert, Frank Weil -- 15. DPSSEE : a distributed proactive semantic software engineering environment / Donghua Deng, Phillip C.-Y. Sheu -- 16. Adding context into an access control model for computer security policy / Shangping Ren, Jeffrey J.P. Tsai, Ophir Frieder Software engineering Self-adaptive software Application software Machine learning Software Engineering (DE-588)4116521-4 gnd Maschinelles Lernen (DE-588)4193754-5 gnd |
| subject_GND | (DE-588)4116521-4 (DE-588)4193754-5 (DE-588)4143413-4 |
| title | Advances in machine learning applications in software engineering |
| title_auth | Advances in machine learning applications in software engineering |
| title_exact_search | Advances in machine learning applications in software engineering |
| title_full | Advances in machine learning applications in software engineering Du Zhang (California State University, USA), Jeffery J.P. Tsai (University of Illinois at Chicago, USA) |
| title_fullStr | Advances in machine learning applications in software engineering Du Zhang (California State University, USA), Jeffery J.P. Tsai (University of Illinois at Chicago, USA) |
| title_full_unstemmed | Advances in machine learning applications in software engineering Du Zhang (California State University, USA), Jeffery J.P. Tsai (University of Illinois at Chicago, USA) |
| title_short | Advances in machine learning applications in software engineering |
| title_sort | advances in machine learning applications in software engineering |
| topic | Software engineering Self-adaptive software Application software Machine learning Software Engineering (DE-588)4116521-4 gnd Maschinelles Lernen (DE-588)4193754-5 gnd |
| topic_facet | Software engineering Self-adaptive software Application software Machine learning Software Engineering Maschinelles Lernen Aufsatzsammlung |
| url | http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-59140-941-0 |
| work_keys_str_mv | AT zhangdu advancesinmachinelearningapplicationsinsoftwareengineering AT tsaijeffreyjp advancesinmachinelearningapplicationsinsoftwareengineering |