{"product_id":"9789819219575","title":"Modern Software Analysis Theory, Methods and Techniques","description":"\u003ch1\u003eModern Software Analysis\u003c\/h1\u003e\u003ch2\u003eTheory, Methods and Techniques\u003c\/h2\u003e\u003ch3\u003eXin Peng | Yijian Wu | Bihuan Chen\u003c\/h3\u003e\u003cdiv\u003e\u003cb\u003eComputers \/ Software Development \u0026amp; Engineering \/ Quality Assurance \u0026amp; Testing\u003c\/b\u003e\u003c\/div\u003e\u003cbr\u003e\u003cdiv\u003e\n\u003cp style=\"text-align: justify; text-justify: inter-ideograph;\"\u003e\u003cem\u003eModern Software Analysis: Theory, Methods and Techniques\u003c\/em\u003e offers a systematic exploration of how Big Data Analytics and AI are reshaping software engineering. Bridging theory and practice, the book highlights cutting-edge approaches to software quality governance, \u003cspan style=\"mso-fareast-language: ZH-CN;\"\u003ebug \u003c\/span\u003edetection, supply chain risk management, and intelligent development paradigms.\u003c\/p\u003e\r\n\u003cp style=\"text-align: justify; text-justify: inter-ideograph;\"\u003eThe monograph surveys a broad range of modern techniques in software analysis, including static and dynamic program analysis, code differenc\u003cspan style=\"mso-fareast-language: ZH-CN;\"\u003eing\u003c\/span\u003e and evolutionary analysis, deep learning–based bug analysis, large language model–powered \u003cspan style=\"mso-fareast-language: ZH-CN;\"\u003ebug \u003c\/span\u003eanalysis, architectural metrics, design smell detection, and microservices anti-pattern analysis. It further examines data-driven frameworks for software quality traceability, clone management, supply chain vulnerability modeling, license compliance, technical debt quantification, and productivity analytics. Finally, it advances intelligent software development through code asset mining, search-driven recommendation, and generative approaches leveraging AI.\u003c\/p\u003e\r\n\u003cp style=\"text-align: justify; text-justify: inter-ideograph;\"\u003eThis work is intended for researchers, as well as industrial practitioners engaged in software quality governance, process optimization, DevOps efficiency, and AI-driven software engineering. With its balance of conceptual depth and practical relevance, it serves as an essential reference for technical decision-makers and academic investigators navigating the era of data-intensive software development.\u003c\/p\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003cp style=\"text-align: justify; text-justify: inter-ideograph;\"\u003e\u003cstrong\u003eDr. Xin Peng \u003c\/strong\u003eis a deputy dean and professor at the College of Computer Science and Artificial Intelligence in Fudan University. He is a distinguished member of the China Computer Federation (CCF), serving as Vice Director of its Software Engineering Technical Committee and Standing Committee Member of its Open-Source Development Committee. Additionally, he holds the role of Vice Chair of the Automotive Basic Software Branch under the Society of Automotive Engineers of China (SAE-China). As an active academic leader, he co-edits the Journal of Software: Evolution and Process and sits on the editorial boards of several prestigious journals, including ACM Transactions on Software Engineering and Methodology, Empirical Software Engineering, Automated Software Engineering, and Chinese Journal of Software. His research focuses on intelligent software development, cloud-native and AI-driven operations and maintenance (AIOps), and foundational software for intelligent connected vehicles. His work has been recognized with multiple international honors, such as the IEEE Transactions on Software Engineering Best Paper Award, ICSM Best Paper Award, ACM SIGSOFT Distinguished Paper Award, and IEEE TCSE Distinguished Paper Award. He has also contributed significantly to academic communities as general chair and program co-chair of the CCF ChinaSoft Conference (2022, 2023) and as a program committee member for top conferences including ICSE, FSE, ASE, ISSTA, ICSME, and SANER.\u003c\/p\u003e\r\n\u003cp style=\"text-align: justify; text-justify: inter-ideograph;\"\u003e\u003cstrong\u003eDr. Yijian Wu\u003c\/strong\u003e is an associate professor at the College of Computer Science and Artificial Intelligence in Fudan University. He serves as an executive committee member in the Technical Committee of Software Engineering of the China Computer Federation (CCF) and a vice director of the Technical Committee of Software Engineering of the Shanghai Computer Society. His research interests mainly include code clone detection and analysis, software evolution analysis, bug analysis, and software development data analytics for quality and productivity improvement. He has been honored with the CCF Scientific and Technological Award (Second Prize for Technical Invention, 2021), ACM SIGSOFT Distinguished Paper Award (ICPC 2022), and Shanghai Teaching Achievement Award (Second Prize, 2009).\u003c\/p\u003e\r\n\u003cp style=\"text-align: justify; text-justify: inter-ideograph;\"\u003e\u003cstrong\u003eDr. Bihuan Chen\u003c\/strong\u003e is an associate professor at the College of Computer Science and Artificial Intelligence in Fudan University. His research interests lie in software engineering, focusing on software supply chain and trustworthy AI. He received three ACM SIGSOFT Distinguished Paper Awards at FSE 2016, ASE 2018, and ASE 2022 and two IEEE TCSE Distinguished Paper Awards at ICSME 2020 and SANER 2023.\u003c\/p\u003e\n\u003c\/div\u003e\u003cbr\u003e\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublication Date: \u003c\/td\u003e\n\u003ctd\u003e13 August 2026\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublisher: \u003c\/td\u003e\n\u003ctd\u003eSpringer Nature Singapore\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eImprint: \u003c\/td\u003e\n\u003ctd\u003eSpringer\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eISBN-13: \u003c\/td\u003e\n\u003ctd\u003e9789819219575\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFormat: \u003c\/td\u003e\n\u003ctd\u003eHardback\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e","brand":"Springer Nature Singapore","offers":[{"title":"Default Title","offer_id":50185179234444,"sku":"9789819219575","price":197.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9789819219575.jpg?v=1780619711","url":"https:\/\/fh90cf-fv.myshopify.com\/products\/9789819219575","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}