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This book is by far the most systematic and comprehensive review of the field of automated software composition. Based on a formally described and reproducible methodology, it critically discusses the approaches, which are relevant for experts interested in an organized overview of related work. It also provides an introduction and intuitive classification system for researchers new to the field. In order to create this survey, several dozen papers were analyzed with respect to the concrete problems they tackle and the proposed solutions. It delivers both an overview and a qualitative comparison of the approaches, and answers three research questions: What types of automated software composition problems exist? In which use cases do these problems typically occur? And what are the most prominent solution paradigms for the different types? Overall, this book saves a great deal of time for everyone pursuing research in the area of automated software composition who needs a comprehensive guide that helps them understand the field, and that relates new approaches to existing ones.

This book provides awareness of different evolutionary methods used for automatic generation and optimization of test data in the field of software testing. While the book highlights on the foundations of software testing techniques, it also focuses on contemporary topics for research and development. This book covers the automated process of testing in different levels like unit level, integration level, performance level, evaluation of testing strategies, testing in security level, optimizing test cases using various algorithms, and controlling and monitoring the testing process etc. This book aids young researchers in the field of optimization of automated software testing, provides academics with knowledge on the emerging field of AI in software development, and supports universities, research centers, and industries in new projects using AI in software testing. Supports the advancement in the artificial intelligence used in software development; Advances knowledge on artificial intelligence based metaheuristic approach in software testing; Encourages innovation in traditional software testing field using recent artificial intelligence. ·

Frustrated by the lack of well-written essays on software engineering, Joel Spolsky (of www.joelonsoftware.com fame) has put together a collection of his favorite writings on the topic. With a nod to both the serious and funny sides of technical writing, The Best Software Writing I: Selected and Introduced by Joel Spolsky is an entertaining read and a guide to the technical writing literati. The Best Software Writing I contains writings from: Ken Arnold Leon Bambrick Michael Bean Rory Blyth Adam Bosworth danah boyd Raymond Chen Kevin Cheng and Tom Chi Cory Doctorow ea_spouse Bruce Eckel Paul Ford Paul Graham John Gruber Gregor Hohpe Ron Jeffries Eric Johnson Eric Lippert Michael Lopp Larry Osterman Mary Poppendieck Rick Schaut Aaron Swartz Clay Shirky Eric Sink why the lucky stiff

This two-volume set LNAI 12166 and 12167 constitutes the refereed proceedings of the 10th International Joint Conference on Automated Reasoning, IJCAR 2020, held in Paris, France, in July 2020.* In 2020, IJCAR was a merger of the following leading events, namely CADE (International Conference on Automated Deduction), FroCoS (International Symposium on Frontiers of Combining Systems), ITP (International Conference on Interactive Theorem Proving), and TABLEAUX (International Conference on Analytic Tableaux and Related Methods). The 46 full research papers, 5 short papers, and 11 system descriptions presented together with two invited talks were carefully reviewed and selected from 150 submissions. The papers focus on the following topics: Part I: SAT; SMT and QBF; decision procedures and combination of theories; superposition; proof procedures; non classical logics Part II: interactive theorem proving/ HOL; formalizations; verification; reasoning systems and tools *The conference was held virtually due to the COVID-19 pandemic. Chapter ‘A Fast Verified Liveness Analysis in SSA Form’ is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

This book provides a comprehensive and in-depth study of automated firewall policy analysis for designing, configuring and managing distributed firewalls in large-scale enterpriser networks. It presents methodologies, techniques and tools for researchers as well as professionals to understand the challenges and improve the state-of-the-art of managing firewalls systematically in both research and application domains. Chapters explore set-theory, managing firewall configuration globally and consistently, access control list with encryption, and authentication such as IPSec policies. The author also reveals a high-level service-oriented firewall configuration language (called FLIP) and a methodology and framework for designing optimal distributed firewall architecture. The chapters illustrate the concepts, algorithms, implementations and case studies for each technique. Automated Firewall Analytics: Design, Configuration and Optimization is appropriate for researchers and professionals working with firewalls. Advanced-level students in computer science will find this material suitable as a secondary textbook or reference.

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