Intelligent Software Defect Prediction
暫譯: 智能軟體缺陷預測
Jing, Xiao-Yuan, Chen, Haowen, Xu, Baowen
- 出版商: Springer
- 出版日期: 2025-01-19
- 售價: $6,490
- 貴賓價: 9.5 折 $6,166
- 語言: 英文
- 頁數: 205
- 裝訂: Quality Paper - also called trade paper
- ISBN: 9819928443
- ISBN-13: 9789819928446
海外代購書籍(需單獨結帳)
商品描述
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.
商品描述(中文翻譯)
隨著軟體的複雜性和依賴性日益增加，軟體產品可能會面臨低品質、高價格、難以維護等問題。軟體缺陷通常會產生不正確或意外的結果和行為。因此，軟體缺陷預測（Software Defect Prediction, SDP）是軟體工程中最活躍的研究領域之一，並在軟體品質保證中扮演著重要角色。根據SDP分析的結果，開發人員可以在合理的資源分配基礎上進行缺陷定位和修復，這有助於降低維護成本。
本書提供了SDP研究現狀的全面概述。更具體地說，它介紹了一系列基於機器學習的SDP方法，這些方法是針對不同場景（即WPDP、CPDP和HDP）提出的。此外，本書還深入探討了當前SDP方法的性能以及未來SDP研究工作的經驗教訓。
我們相信，這些理論分析和新興挑戰將對所有希望深入了解SDP或尋找新研究方向的研究人員、研究生和實務工作者具有相當大的吸引力。本書提供了SDP現狀的全面介紹以及代表性SDP方法的詳細描述。
作者簡介
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.
作者簡介(中文翻譯)
蕭遠京是武漢大學計算機科學學院的教授。蕭教授的研究興趣包括軟體缺陷預測、軟體工作量估算和軟體工程。他的研究成果已發表於權威的軟體工程期刊和會議論文集中，如《IEEE 軟體工程學報》（IEEE Transactions on Software Engineering）、《實證軟體工程》（Empirical Software Engineering）、《IEEE 可靠性學報》（IEEE Transactions on Reliability）、《資訊與軟體技術》（Information and Software Technology）、《自動化軟體工程》（Automated Software Engineering）、ICSE、FSE、ASE 和 ICSME。他還從事模式識別、機器學習和人工智慧的研究。他在領先的人工智慧期刊和會議論文集中發表了一系列研究，包括《IEEE 模式分析與機器智慧學報》（IEEE Transactions on Pattern Analysis and Machine Intelligence）、《IEEE 神經網路與學習系統學報》（IEEE Transactions on Neural Networks and Learning Systems）、《IEEE 資訊取證與安全學報》（IEEE Transactions on Information Forensics and Security）、CVPR、AAAI 和 IJCAI。他被愛思唯爾選為高被引中國研究者。
陳浩文是武漢大學計算機科學學院的博士候選人。陳先生目前正在武漢大學計算機科學學院攻讀博士學位。他的研究興趣包括軟體工程和機器學習。他的研究已發表於《IEEE 軟體工程學報》（IEEE Transactions on Software Engineering）、《資訊與軟體技術》（Information and Software Technology）、ICSE 等期刊。
徐保文是南京大學計算機科學與技術系的教授。徐教授自1980年代末以來一直從事測試驅動的軟體缺陷診斷與分析的理論、方法論和技術研究。他獲得了多項國際先進的研究成果，對該研究領域產生了重大影響。他承擔了來自中國航天工業部、中國船舶重工集團公司、國家自然科學基金、中國教育部、中國科技部、江蘇省及華為、中興和英特爾等企業的30多個研究項目。徐教授獲得了國家優秀青年科學基金、國家自然科學基金（包括重大研究計畫、國家重點計畫、一般計畫和國際聯合研究計畫）、中國基礎研究計畫、國家高技術研究發展計畫的重點計畫和一般計畫、科技發展計畫、高技術計畫以及江蘇省自然科學基金的支持。他已發表300多篇論文，包括在TOSEM、TSE、ICSE、FSE、IJCAI等領先的會議上。他還擔任過100多個知名學術會議的總主席、程序委員會主席或程序委員會成員。
