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Challenges of Software Verification
Buch von Vincenzo Arceri (u. a.)
Sprache: Englisch

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Beschreibung
This book provides an overview about the open challenges in software verification. Software verification is a branch of software engineering aiming at guaranteeing that software applications satisfy some requirements of interest. Over the years, the software verification community has proposed and considered several techniques: abstract interpretation, data-flow analysis, type systems, model checking are just a few examples. The theoretical advances have been always motivated by practical challenges that have led to an equal evolution of both these sides of software verification. Indeed, several verification tools have been proposed by the research community and any software application, in order to guarantee that certain software requirements are met, needs to integrate a verification phase in its life cycle, independently of the context of application or software size. This book is aimed at collecting contributions discussing recent advances in facing open challenges in software verification, relying on a broad spectrum of verification techniques. This book collects contributions ranging from theoretical to practical arguments, and it is aimed at both researchers in software verification and their practitioners.
This book provides an overview about the open challenges in software verification. Software verification is a branch of software engineering aiming at guaranteeing that software applications satisfy some requirements of interest. Over the years, the software verification community has proposed and considered several techniques: abstract interpretation, data-flow analysis, type systems, model checking are just a few examples. The theoretical advances have been always motivated by practical challenges that have led to an equal evolution of both these sides of software verification. Indeed, several verification tools have been proposed by the research community and any software application, in order to guarantee that certain software requirements are met, needs to integrate a verification phase in its life cycle, independently of the context of application or software size. This book is aimed at collecting contributions discussing recent advances in facing open challenges in software verification, relying on a broad spectrum of verification techniques. This book collects contributions ranging from theoretical to practical arguments, and it is aimed at both researchers in software verification and their practitioners.
Über den Autor

Vincenzo Arceri is a no-tenure track assistant professor at the Department of Mathematical, Physical, and Computer Sciences, University of Parma, and his research focuses on static software analysis and verification, having 7 years of experience in this research field, in which he published on international conferences and journals related to software analysis, formal methods for software security, programming languages, and software engineering (including ACM TOPS, Information and Computation, VMCAI, ACM SIGAPP SAC). His main research interests include static program analysis, string analysis and verification (in particular for dynamic languages), abstract interpretation and, more in general, formal methods for program security.

Agostino Cortesi is a full professor at Ca' Foscari University of Venice. He has over 25 years of experience in the area of software verification, having published over 150 articles in high-level international journals and international conference proceedings. He has been a member of numerous program committees for international conferences (e.g., SAS, VMCAI) and editorial committees of scientific journals (Computer Languages, Journal of Universal Computer Science). He is currently the head of the Ph.D. program in Computer Science at Ca' Foscari. His main research interests concern programming language theory and static analysis techniques, with particular focus to security applications. He is the coordinator of the EU Horizon2020 "Families_Share" project and has held the position of head of unit of the H2020 project EQUAL-IST and of the COST project "Eutypes". He also directs the project MAE Italy-India 2017-19 "Formal Specification for Secured Software System" and the FIRST Covid-19 F2F project.

Prof. Pietro Ferrara is an assistant professor at Ca' Foscari University of Venice. He is an expert on static analysis based on abstract interpretation with a focus on the detection of security vulnerabilities in object-oriented programs. He joined the University of Venice in November 2019 as a tenure track assistant professor. Previously, from 2013 to 2019, he worked in industry gaining experience in delivering prototypes and commercial tools to customers filling the gap between scientific research and development and delivery of software products, as well as technical and commercial presentation to customers, evaluation activities, and preparation of commercial and technical documentation.

Martina Olliaro is a postdoc researcher at Ca' Foscari University of Venice. She received her Ph.D. in Computer Science at Ca' Foscari University of Venice (Italy) and Masaryk University of Brno (Czech Republic), under the supervision of both Professors Agostino Cortesi and Vashek Matyas. Her main research interest concerns string static analysis by means of abstract interpretation theory, with a focus to the string-related security issues. She is also interested in watermarking relational databases techniques and in the study of their semantics preservation.

Zusammenfassung

Provides an overview about the open challenges in software verification

Collects contributions ranging from theoretical to practical arguments

Serves as a reference resource for researchers and practitioners

Inhaltsverzeichnis
Chapter 1. Abstract Interpretation: From 0, 1, To ¿.- Chapter 2. LiSA: A Generic Framework for Multilanguage Static Analysis.- Chapter 3. How to make taint analysis precise.- Chapter 4. "Fixing" the speci¿cation of widenings.- Chapter 5. Static Analysis for Data Scientists.- Chapter 6. Completeness in static analysis by abstract interpretation, a personal point of view.- Chapter 7. Lifting String Analysis Domains.- Chapter 8. Local Completeness in Abstract Interpretation.- Chapter 9. The Topdown-Solver - An Exercise in A2I.- Chapter 10. Regular matching with constraint programming.- Chapter 11. Floating-point round-ö error analysis of safety-critical avionics software.- Chapter 12. Risk estimation in IoT systems.- Chapter 13. Veri¿cation of Reaction Systems Processes.
Details
Erscheinungsjahr: 2023
Fachbereich: Nachrichtentechnik
Genre: Technik
Rubrik: Naturwissenschaften & Technik
Medium: Buch
Seiten: 280
Reihe: Intelligent Systems Reference Library
Inhalt: xv
264 S.
21 s/w Illustr.
59 farbige Illustr.
264 p. 80 illus.
59 illus. in color.
ISBN-13: 9789811996009
ISBN-10: 9811996008
Sprache: Englisch
Ausstattung / Beilage: HC runder Rücken kaschiert
Einband: Gebunden
Redaktion: Arceri, Vincenzo
Olliaro, Martina
Ferrara, Pietro
Cortesi, Agostino
Herausgeber: Vincenzo Arceri/Agostino Cortesi/Pietro Ferrara et al
Auflage: 1st ed. 2023
Hersteller: Springer Singapore
Springer Nature Singapore
Intelligent Systems Reference Library
Maße: 241 x 160 x 21 mm
Von/Mit: Vincenzo Arceri (u. a.)
Erscheinungsdatum: 25.07.2023
Gewicht: 0,588 kg
preigu-id: 126055850
Über den Autor

Vincenzo Arceri is a no-tenure track assistant professor at the Department of Mathematical, Physical, and Computer Sciences, University of Parma, and his research focuses on static software analysis and verification, having 7 years of experience in this research field, in which he published on international conferences and journals related to software analysis, formal methods for software security, programming languages, and software engineering (including ACM TOPS, Information and Computation, VMCAI, ACM SIGAPP SAC). His main research interests include static program analysis, string analysis and verification (in particular for dynamic languages), abstract interpretation and, more in general, formal methods for program security.

Agostino Cortesi is a full professor at Ca' Foscari University of Venice. He has over 25 years of experience in the area of software verification, having published over 150 articles in high-level international journals and international conference proceedings. He has been a member of numerous program committees for international conferences (e.g., SAS, VMCAI) and editorial committees of scientific journals (Computer Languages, Journal of Universal Computer Science). He is currently the head of the Ph.D. program in Computer Science at Ca' Foscari. His main research interests concern programming language theory and static analysis techniques, with particular focus to security applications. He is the coordinator of the EU Horizon2020 "Families_Share" project and has held the position of head of unit of the H2020 project EQUAL-IST and of the COST project "Eutypes". He also directs the project MAE Italy-India 2017-19 "Formal Specification for Secured Software System" and the FIRST Covid-19 F2F project.

Prof. Pietro Ferrara is an assistant professor at Ca' Foscari University of Venice. He is an expert on static analysis based on abstract interpretation with a focus on the detection of security vulnerabilities in object-oriented programs. He joined the University of Venice in November 2019 as a tenure track assistant professor. Previously, from 2013 to 2019, he worked in industry gaining experience in delivering prototypes and commercial tools to customers filling the gap between scientific research and development and delivery of software products, as well as technical and commercial presentation to customers, evaluation activities, and preparation of commercial and technical documentation.

Martina Olliaro is a postdoc researcher at Ca' Foscari University of Venice. She received her Ph.D. in Computer Science at Ca' Foscari University of Venice (Italy) and Masaryk University of Brno (Czech Republic), under the supervision of both Professors Agostino Cortesi and Vashek Matyas. Her main research interest concerns string static analysis by means of abstract interpretation theory, with a focus to the string-related security issues. She is also interested in watermarking relational databases techniques and in the study of their semantics preservation.

Zusammenfassung

Provides an overview about the open challenges in software verification

Collects contributions ranging from theoretical to practical arguments

Serves as a reference resource for researchers and practitioners

Inhaltsverzeichnis
Chapter 1. Abstract Interpretation: From 0, 1, To ¿.- Chapter 2. LiSA: A Generic Framework for Multilanguage Static Analysis.- Chapter 3. How to make taint analysis precise.- Chapter 4. "Fixing" the speci¿cation of widenings.- Chapter 5. Static Analysis for Data Scientists.- Chapter 6. Completeness in static analysis by abstract interpretation, a personal point of view.- Chapter 7. Lifting String Analysis Domains.- Chapter 8. Local Completeness in Abstract Interpretation.- Chapter 9. The Topdown-Solver - An Exercise in A2I.- Chapter 10. Regular matching with constraint programming.- Chapter 11. Floating-point round-ö error analysis of safety-critical avionics software.- Chapter 12. Risk estimation in IoT systems.- Chapter 13. Veri¿cation of Reaction Systems Processes.
Details
Erscheinungsjahr: 2023
Fachbereich: Nachrichtentechnik
Genre: Technik
Rubrik: Naturwissenschaften & Technik
Medium: Buch
Seiten: 280
Reihe: Intelligent Systems Reference Library
Inhalt: xv
264 S.
21 s/w Illustr.
59 farbige Illustr.
264 p. 80 illus.
59 illus. in color.
ISBN-13: 9789811996009
ISBN-10: 9811996008
Sprache: Englisch
Ausstattung / Beilage: HC runder Rücken kaschiert
Einband: Gebunden
Redaktion: Arceri, Vincenzo
Olliaro, Martina
Ferrara, Pietro
Cortesi, Agostino
Herausgeber: Vincenzo Arceri/Agostino Cortesi/Pietro Ferrara et al
Auflage: 1st ed. 2023
Hersteller: Springer Singapore
Springer Nature Singapore
Intelligent Systems Reference Library
Maße: 241 x 160 x 21 mm
Von/Mit: Vincenzo Arceri (u. a.)
Erscheinungsdatum: 25.07.2023
Gewicht: 0,588 kg
preigu-id: 126055850
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