Symbolic Execution For Testing Complex Software
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Symbolic Execution For Testing Complex Software
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Author : Cristian Cadar
language : en
Publisher:
Release Date : 2009
Symbolic Execution For Testing Complex Software written by Cristian Cadar and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with categories.
Evaluation Of Novel Approaches To Software Engineering
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Author : Leszek A. Maciaszek
language : en
Publisher: Springer
Release Date : 2013-12-13
Evaluation Of Novel Approaches To Software Engineering written by Leszek A. Maciaszek and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-12-13 with Computers categories.
This book constitutes the thoroughly refereed proceedings of the 7th International Conference on Evaluation of Novel Approaches to Software Engineering, ENASE 2012, held in Wroclaw, Poland, in June 2012. The 11 full papers presented were carefully reviewed and selected from 54 submissions. The papers cover various topics in software engineering and focus on the comparison of novel approaches with established traditional practices and by evaluating them against software quality criteria.
Software Testing In The Cloud Perspectives On An Emerging Discipline
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Author : Tilley, Scott
language : en
Publisher: IGI Global
Release Date : 2012-11-30
Software Testing In The Cloud Perspectives On An Emerging Discipline written by Tilley, Scott and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-11-30 with Computers categories.
In recent years, cloud computing has gained a significant amount of attention by providing more flexible ways to store applications remotely. With software testing continuing to be an important part of the software engineering life cycle, the emergence of software testing in the cloud has the potential to change the way software testing is performed. Software Testing in the Cloud: Perspectives on an Emerging Discipline is a comprehensive collection of research by leading experts in the field providing an overview of cloud computing and current issues in software testing and system migration. Deserving the attention of researchers, practitioners, and managers, this book aims to raise awareness about this new field of study.
Software Engineer S Reference Book
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Author : John A McDermid
language : en
Publisher: Elsevier
Release Date : 2013-10-22
Software Engineer S Reference Book written by John A McDermid and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-10-22 with Technology & Engineering categories.
Software Engineer's Reference Book provides the fundamental principles and general approaches, contemporary information, and applications for developing the software of computer systems. The book is comprised of three main parts, an epilogue, and a comprehensive index. The first part covers the theory of computer science and relevant mathematics. Topics under this section include logic, set theory, Turing machines, theory of computation, and computational complexity. Part II is a discussion of software development methods, techniques and technology primarily based around a conventional view of the software life cycle. Topics discussed include methods such as CORE, SSADM, and SREM, and formal methods including VDM and Z. Attention is also given to other technical activities in the life cycle including testing and prototyping. The final part describes the techniques and standards which are relevant in producing particular classes of application. The text will be of great use to software engineers, software project managers, and students of computer science.
Scalable Dynamic Analysis Of Binary Code
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Author : Ulf Kargén
language : en
Publisher: Linköping University Electronic Press
Release Date : 2019-08-22
Scalable Dynamic Analysis Of Binary Code written by Ulf Kargén and has been published by Linköping University Electronic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-08-22 with categories.
In recent years, binary code analysis, i.e., applying program analysis directly at the machine code level, has become an increasingly important topic of study. This is driven to a large extent by the information security community, where security auditing of closed-source software and analysis of malware are important applications. Since most of the high-level semantics of the original source code are lost upon compilation to executable code, static analysis is intractable for, e.g., fine-grained information flow analysis of binary code. Dynamic analysis, however, does not suffer in the same way from reduced accuracy in the absence of high-level semantics, and is therefore also more readily applicable to binary code. Since fine-grained dynamic analysis often requires recording detailed information about every instruction execution, scalability can become a significant challenge. In this thesis, we address the scalability challenges of two powerful dynamic analysis methods whose widespread use has, so far, been impeded by their lack of scalability: dynamic slicing and instruction trace alignment. Dynamic slicing provides fine-grained information about dependencies between individual instructions, and can be used both as a powerful debugging aid and as a foundation for other dynamic analysis techniques. Instruction trace alignment provides a means for comparing executions of two similar programs and has important applications in, e.g., malware analysis, security auditing, and plagiarism detection. We also apply our work on scalable dynamic analysis in two novel approaches to improve fuzzing — a popular random testing technique that is widely used in industry to discover security vulnerabilities. To use dynamic slicing, detailed information about a program execution must first be recorded. Since the amount of information is often too large to fit in main memory, existing dynamic slicing methods apply various time-versus-space trade-offs to reduce memory requirements. However, these trade-offs result in very high time overheads, limiting the usefulness of dynamic slicing in practice. In this thesis, we show that the speed of dynamic slicing can be greatly improved by carefully designing data structures and algorithms to exploit temporal locality of programs. This allows avoidance of the expensive trade-offs used in earlier methods by accessing recorded runtime information directly from secondary storage without significant random-access overhead. In addition to being a standalone contribution, scalable dynamic slicing also forms integral parts of our contributions to fuzzing. Our first contribution uses dynamic slicing and binary code mutation to automatically turn an existing executable into a test generator. In our experiments, this new approach to fuzzing achieved about an order of magnitude better code coverage than traditional mutational fuzzing and found several bugs in popular Linux software. The second work on fuzzing presented in this thesis uses dynamic slicing to accelerate the state-of-the-art fuzzer AFL by focusing the fuzzing effort on previously unexplored parts of the input space. For the second dynamic analysis technique whose scalability we sought to improve — instruction trace alignment — we employed techniques used in speech recognition and information retrieval to design what is, to the best of our knowledge, the first general approach to aligning realistically long program traces. We show in our experiments that this method is capable of producing meaningful alignments even in the presence of significant syntactic differences stemming from, for example, the use of different compilers or optimization levels.
Machine Learning Applications In Software Engineering
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Author : Du Zhang
language : en
Publisher: World Scientific
Release Date : 2005
Machine Learning Applications In Software Engineering written by Du Zhang and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with Computers categories.
A collection of previously published articles from a variety of publications.
Cloud Technology Concepts Methodologies Tools And Applications
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Author : Management Association, Information Resources
language : en
Publisher: IGI Global
Release Date : 2014-10-31
Cloud Technology Concepts Methodologies Tools And Applications written by Management Association, Information Resources and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-10-31 with Computers categories.
As the Web grows and expands into ever more remote parts of the world, the availability of resources over the Internet increases exponentially. Making use of this widely prevalent tool, organizations and individuals can share and store knowledge like never before. Cloud Technology: Concepts, Methodologies, Tools, and Applications investigates the latest research in the ubiquitous Web, exploring the use of applications and software that make use of the Internet’s anytime, anywhere availability. By bringing together research and ideas from across the globe, this publication will be of use to computer engineers, software developers, and end users in business, education, medicine, and more.
Proceedings Of The Ninth International Joint Conference On Artificial Intelligence
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Author : International Joint Conferences on Artificial Intelligence
language : en
Publisher: Elsevier
Release Date : 1985
Proceedings Of The Ninth International Joint Conference On Artificial Intelligence written by International Joint Conferences on Artificial Intelligence and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 1985 with Artificial Intelligence categories.
Third International Workshop On Software Specification And Design
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Author :
language : en
Publisher:
Release Date : 1985
Third International Workshop On Software Specification And Design written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1985 with Computer programs categories.
Test Case Reduction Prioritization And Selection For Symbolic Execution
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Author : Chaoqiang Zhang
language : en
Publisher:
Release Date : 2015
Test Case Reduction Prioritization And Selection For Symbolic Execution written by Chaoqiang Zhang and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015 with Computer software categories.
Software testing is of critical importance for the success of software projects. Current inefficient testing methods often still take up half or more of a software project's budget. Automatic test data generation is the most promising way to lower the software testing cost. Manually creating testing data is expensive and often needs deep domain knowledge. Therefore, both industry and academia are always highly interested in automatic approaches to generating test data. Symbolic execution has been one of the most promising and exciting areas of automated testing research for many years now. In principle, symbolic execution "runs" a program, replacing concrete inputs with symbolic variables that represent all possible values. When a program branches, the execution takes both paths (if they are feasible under current constraints) and a set of path conditions on symbolic variables is modified for each path to record the new constraints on the symbolic values. However, scaling symbolic execution to large programs or programs with complex inputs remains difficult due to path explosion and complex constraints, as well as external method calls. Additionally, creating an effective test structure with symbolic inputs can be difficult. A popular symbolic execution strategy in practice is to perform symbolic execution not "from scratch" but based on existing test cases. This dissertation explores the idea that the effectiveness of this approach to symbolic execution can be enhanced by (1) reducing the size of seed test cases, (2) prioritizing seed test cases to maximize exploration efficiency, and (3) selecting a subset tests for symbolic execution without specifying the number of tests. The proposed test case reduction strategy is based on a recently introduced generalization of delta-debugging, and our prioritization and selection techniques include novel methods that, for this purpose, can outperform some traditional regression testing algorithms. Our results show that applying these methods can significantly improve the effectiveness of symbolic execution based on existing test cases.