{"product_id":"9789819219575","title":"Modern Software Analysis: Theory, Methods and Techniques","description":"\u003ch1\u003eModern Software Analysis: Theory, Methods and Techniques\u003c\/h1\u003e \u003ch2\u003ePeng, Xin; Wu, Yijian; Chen, Bihuan\u003c\/h2\u003e \u003cp\u003e\u003c\/p\u003e\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\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\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 \u003ch3\u003eDetails\u003c\/h3\u003e \u003cp\u003ePublished by: Springer\u003c\/p\u003e \u003cp\u003ePublication Date: 2026-08-14\u003c\/p\u003e \u003cp\u003eFormat: Hardcover\u003c\/p\u003e \u003cp\u003eISBN-13: 9789819219575\u003c\/p\u003e \u003cp\u003eDOI: \u003c\/p\u003e \u003cp\u003eDimensions: 235cm x155cm\u003c\/p\u003e \u003cp\u003ePages: \u003c\/p\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=1779974477","url":"https:\/\/lateknightbooks.com\/products\/9789819219575","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}