Intelligent Software Defect Prediction - Jing, Xiao-Yuan
- Format: Relié Voir le descriptif
Vous en avez un à vendre ?
Vendez-le-vôtre245,34 €
Produit Neuf
Ou 61,34 € /mois
- Livraison à 0,01 €
- Livré entre le 29 juillet et le 10 août
Brand new, In English, Fast shipping from London, UK; Tout neuf, en anglais, expédition rapide depuis Londres, Royaume-Uni;ria9789819928415_dbm
Nos autres offres
-
273,72 €
Produit Neuf
Ou 68,43 € /mois
- Livraison : 3,99 €
- Livré entre le 28 juillet et le 3 août
Voir le détail de l'annonce
- Payez directement sur Rakuten (CB, PayPal, 4xCB...)
- Récupérez le produit directement chez le vendeur
- Rakuten vous rembourse en cas de problème
Gratuit et sans engagement
Félicitations !
Nous sommes heureux de vous compter parmi nos membres du Club Rakuten !
TROUVER UN MAGASIN
Retour
Avis sur Intelligent Software Defect Prediction Format Relié - Livre Informatique
0 avis sur Intelligent Software Defect Prediction Format Relié - Livre Informatique
Les avis publiés font l'objet d'un contrôle automatisé de Rakuten.
-
Quantum Chemistry, 2nd Edition
1 avis
Neuf dès 199,48 €
-
Vouet: Grand Palais 6 Novembre 1990 11 Février 1991
Occasion dès 150,00 €
-
Pete Townshend: Who I Am
Neuf dès 127,99 €
-
The Lord Of The Rings
Neuf dès 183,21 €
-
Art Of Merit: Studies In Buddhist Art And Its Conservation
Neuf dès 284,14 €
-
The New Munsell Student Color Set
Neuf dès 125,62 €
-
Paolo Roversi Livre Nudi
2 avis
Occasion dès 175,00 €
-
Imagine Too!
1 avis
Neuf dès 191,68 €
-
Seamanship In The Age Of Sail
Occasion dès 215,00 €
-
Gilbert Portanier
Neuf dès 141,34 €
-
Les Troubadours - Anthologie Bilingue - Jacques Roubaud
Occasion dès 130,00 €
-
Isles Of Gold: Antique Maps Of Japan
Occasion dès 174,99 €
-
Cowboy Kate And Other Stories
Occasion dès 161,55 €
-
Numicon: Homework Activities Intervention Resource - 'maths Bag' Of Resources Per Pupil
Neuf dès 154,00 €
-
Instruction Particuliere Et Secrete A Mon Fils: Oeuvres Spirituelles Classiques
Occasion dès 323,40 €
-
Winogrand Figments From The Real World
Occasion dès 170,99 €
-
Cryogenic Heat Transfer
Neuf dès 215,99 €
-
Illustrated Dermatology
Neuf dès 155,93 €
-
Genre In Archaic And Classical Greek Poetry: Theories And Models
Neuf dès 267,64 €
-
Very Similar
Neuf dès 131,99 €
Produits similaires
Présentation Intelligent Software Defect Prediction Format Relié
- Livre Informatique
Résumé :
With the increasing complexity of and dependency on software, software products may suffer from low quality, high prices, be hard to maintain, etc. Software defects usually produce incorrect or unexpected results and behaviors. Accordingly, software defect prediction (SDP) is one of the most active research fields in software engineering and plays an important role in software quality assurance. Based on the results of SDP analyses, developers can subsequently conduct defect localization and repair on the basis of reasonable resource allocation, which helps to reduce their maintenance costs. This book offers a comprehensive picture of the current state of SDP research. More specifically, it introduces a range of machine-learning-based SDP approaches proposed for different scenarios (i.e., WPDP, CPDP, and HDP). In addition, the book shares in-depth insights into current SDP approaches? performance and lessons learned for future SDP research efforts. We believe thesetheoretical analyses and emerging challenges will be of considerable interest to all researchers, graduate students, and practitioners who want to gain deeper insights into and/or find new research directions in SDP. It offers a comprehensive introduction to the current state of SDP and detailed descriptions of representative SDP approaches.
Biographie: Xiao-Yuan Jing is a Professor at the School of Computer Science, Wuhan University. Prof. Jing's research interests include software defect prediction, software effort estimation, and software engineering. His research has been published in authoritative software engineering journals and conference proceedings, such as IEEE Transactions on Software Engineering, Empirical Software Engineering, IEEE Transactions on Reliability, Information and Software Technology, Automated Software Engineering, ICSE, FSE, ASE, and ICSME. He has also pursued research on pattern recognition, machine learning, and artificial intelligence. He has published a range of studies in leading artificial intelligence journals and conference proceedings, including IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Information Forensics and Security, CVPR, AAAI, and IJCAI. He has been selected as a highly cited Chineseresearcher by Elsevier. Haowen Chen is a Ph.D. candidate at the School of Computer Science, Wuhan University. Mr. Chen is currently working toward his Ph.D. degree at the School of Computer Science, Wuhan University. His research interests include software engineering and machine learning. His research has been published in IEEE Transactions on Software Engineering, Information and Software Technology, ICSE, etc. Baowen Xu is a Professor at the Department of Computer Science and Technology, Nanjing University. Prof. Xu has pursued research on the theory, methodology, and technology research of test-driven software defect diagnosis and analysis, since the late 1980s. He has obtained a number of internationally advanced research results, which have had a substantial impact in this research field. He has undertaken more than 30 research projects from the Ministry of Aerospace Industry, China State Shipbuilding Corporation, the National Natural Science Foundation of China, theMinistry of Education, the Ministry of Science and Technology, Jiangsu Province, and enterprises such as Huawei, ZTE and Intel. Prof. Xu has received support from the National Science Fund for Distinguished Young Scholars, the National Natural Science Foundation of China (including the Major Research Plan, State Key Program, General Program, and International Joint Research Program), the National Basic Research Program of China, the Key Program and General Program of the National High Technology Research and Development Program of China, the Science and Technology Development Program, the High Technological Program, and the Natural Science Foundation of Jiangsu Province. He has published more than 300 papers, including in leading venues such as TOSEM, TSE, ICSE, FSE, IJCAI, etc. He has also served as the general chair, program committee chair or program committee member for more than 100 prominent academic conferences.
Sommaire:
Chapter 1 Introduction.- Chapter 2 Application of Machine Learning Techniques in Intelligent SDP.- Chapter 3 Within-Project Defect Prediction.- Chapter 4 Cross-Project Defect Prediction.- Chapter 5 Heterogeneous Defect Prediction.- Chapter 6 Empirical Findings on HDP Approaches.- Chapter 7 Other Research Questions of SDP.- Chapter 8 Conclusions.
Détails de conformité du produit
Personne responsable dans l'UE