A Comprehensive Survey of Trends in Oracles for Software Testing
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
A Specification-Oriented Semantics for the Refinement of Real-Time Systems
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Elsevier - Publisher Connector Theoretical Computer Science 131 (1994) 219-241 219 Elsevier A specification-oriented semantics for the refinement of real-time systems David Scholefield and Hussein Zedan Formal Systems Research Group, Department of ComputerScience, University of York, Heslington, York, UK He Jifeng Programming Research Group. Oxford University, Keble Road, Oxford, UK Communicated by I. Mitrani Received November 1992 Revised February 1993 Abslract Scholefield, D., H. Zedan and H. Jifeng, A specification-oriented semantics for the refinement of real-time systems, Theoretical Computer Science 131 (1994) 2199241. A refinement calculus for the development of real-time systems is presented. The calculus is based upon a wide-spectrum language called the temporal agent model (TAM), within which both functional and timing properties can be expressed in either abstract or concrete terms. A specifica- tion-oriented semantics for the language is given. Program development is considered as a refine- ment process, i.e. the calculation of a structured program from an unstructured specification. A calculus of decomposition is defined. An example program is developed. 1. Introduction The formal development of a computer system is traditionally separated into four tasks: the formulation of a specification, the formulation of a design, verification between specification and design, and the translation of the design into an implemen- tation. In real-time systems, verification must take into account both functional correctness and the timeliness of results - a consideration which adds further com- plexity to an already difficult task. Correspondence to: D. -
Removing Redundant Refusals: Minimal Complete Test Suites for Failure Trace Semantics
Removing Redundant Refusals: Minimal Complete Test Suites for Failure Trace Semantics Maciej Gazda Robert M. Hierons Department of Computer Science Department of Computer Science University of Sheffield, UK University of Sheffield, UK Abstract—We explore the problem of finding a minimal com- in which no action in X is enabled. Most work uses ioco [21] plete test suite for a refusal trace (or failure trace) semantics. or one of its variants; see [22] for an overview. In ioco, an Since complete test suites are typically infinite, we consider the observation is a trace that can contain instances of quiescence: setting with a bound ` on the length of refusal traces of interest. A test suite T is thus complete if it is failed by all processes that the situation in which the system under test (SUT) cannot contain a disallowed refusal trace of length at most `. produce output or change state without first receiving input. The proposed approach is based on generating a minimal com- The ioco test theory assumes that the SUT cannot refuse inputs plete set of forbidden refusal traces. Our solution utilises several (is input-enabled) and the environment cannot block outputs, interesting insights into refusal trace semantics. In particular, which is why quiescence is the only type of refusal. we identify a key class of refusals called fundamental refusals which essentially determine the refusal trace semantics, and the A refusal of a set X is observed through the tester offering associated fundamental equivalence relation. We then propose a the actions in X and subsequent deadlock (detected through small but not necessarily minimal test suite based on our theory, a timeout). -
Interval Temporal Logic
Interval Temporal Logic Antonio Cau and Ben Moszkowski 2021-04-09 HTML version of the ITL home page Abstract Interval Temporal Logic (ITL) is a flexible notation for both propositional and first-order reasoning about periods of time found in descriptions of hardware and software systems. Unlike most temporal logics, ITL can handle both sequential and parallel composition and offers powerful and extensible specification and proof techniques for reasoning about properties involving safety, liveness and pro- jected time [134]. Timing constraints are expressible and furthermore most imperative programming constructs can be viewed as formulas in a slightly modified version of ITL [125]. Tempura provides an executable framework for developing and experimenting with suitable ITL specifications. In addi- tion, ITL and its mature executable subset Tempura [157] have been extensively used to specify the properties of real-time systems where the primitive circuits can directly be represented by a set of simple temporal formulae. In addition, Tempura has been applied to hardware simulation and other areas where timing is important. 1 Contents 1 Finite Interval Temporal Logic3 1.1 Syntax............................................3 1.2 Semantics..........................................3 1.3 Derived Constructs......................................5 1.4 Propositional proof system..................................7 1.5 First order proof system...................................7 2 Finite and Infinite Interval Temporal Logic8 2.1 Syntax............................................8 -
Issue 2005 2 June 2005
, . Issue 2005-2 FACS June 2005 A FM E C A A C ~v1 L F (~ T ~J1 ETHODS C 1 BCS R S(:S(: M S Z A UM L I FM SI G E E E E E BCS The Newsletter of the Formal Aspects of 6 FACS Computing Science (FACS) Specialist Group ISSN 0950-1231 , " -40 , . FACS FACTS Iss ue 2005-2 June 2005 :~::;'::i(t::·::!:\,,: h\boJi EACS.FACTS .. '::':--'}U},;"";",::,:::: '}::::-::/:W::::::'" :,:':':t\i{\, '::;:=/';tt::-:· . , . EAG,sFACi,s[ I S$N:Q950~12311 U S ! h ~ Q~W~letter . of ·ihe BQ$ Specialist · (Sfoup 8h .·· FpribaIAsp~ Cts ·otCornputihg ·S§ience(FACS}; 'FACSFAGTS.• is· dfstributed in electronic form !ball FACS members. · .... A~from ';605 : FACS ?A hs ~ lii ' b~ ~clbl: g~~a foJ~\iinesayea 6 Mar c ti : • June; September and December. Submissions are always welcome .. p l g<!s~seetQe <3d¥~rt.. .or1 page2~fo r fU~herde! <! i ls of·yisil thenew§lg!ter .•.• areaOfthe FACS websile [ http: //www .bcs ~facs . org/newsletterr .. .. ............ .- ... -..... -,'- . Back issU~s . of FAGSFA GTS~re avai l ~ bl e t6 .downlda d frorTE The FACS FACTS Tea m . ..,., . Newsletted ::ditor . Paul B6ca [editor@fac;sfacts ci nfol Editori.al Team J61lathanBowerl,J udith Ca rlton, John Cooke; . Kevin Lano., Mike Siannett Colu rn nist~.i •. ' Din es Bj0rn er (The •~ ai l waY.oClm a i r1) ...•. Judith Carlton(Puzzles) " ....... ... Contribqtors .to t h.isJsSU€) ; Dines Bj0mer, Eerke Boiten, Jonathan . Bowen , Judith Ca ri ton, Roger Carsley, J o hn . D E! r ri 9~• . George E lef~er<;lki§ ; J ose ; Fiade i ro , Joh n F i tzg~ta l d, Carroll Morgan, Fiona Polack, F.X. -
Interval Temporal Logic
Interval Temporal Logic Antonio Cau, Ben Moszkowski and Hussein Zedan Software Technology Research Laboratory December 6, 2007 HTML version of the ITL home page ITL-course: A not so short introduction to ITL Abstract Interval Temporal Logic (ITL) is a flexible notation for both propositional and first-order reasoning about periods of time found in descriptions of hardware and software systems. Unlike most temporal logics, ITL can handle both sequential and parallel composition and offers powerful and extensible specification and proof techniques for reasoning about properties involving safety, liveness and projected time[15]. Timing constraints are expressible and furthermore most imperative pro- gramming constructs can be viewed as formulas in a slightly modified version of ITL [25]. Tempura provides an executable framework for developing and experimenting with suitable ITL specifications. In addition, ITL and its mature executable subset Tempura [9] have been extensively used to specify the properties of real-time systems where the primitive circuits can directly be represented by a set of simple tempo- ral formulae. In addition, various researchers have applied Tempura to hardware simulation and other areas where timing is important. 1 Syntax The key notion of ITL is an interval. An interval σ is considered to be a (in)finite sequence of states σ0; σ1 :::, where a state σi is a mapping from the set of variables Var to the set of values V al. The length jσj of an interval σ0 : : : σn is equal to n (one less than the number of states in the interval (this has always been a convention in ITL), i.e., a one state interval has length 0). -
Community Engagement
Community Engagement Annual Report 2016-2017 2 2 2 COMMUNITY ENGAGEMENT ANNUAL REPORT 2016 - 2017 PREPARED FOR COMMUNITY ENGAGEMENT OFFICE APPLIED SCIENCE UNIVERSITY Copyright © 2017 by Applied Science University All rights reserved. No part of this publication may be reproduced, distributed, or transmitted in any form or by any means, including photocopying, recording, or other electronic or mechanical methods, without the prior written permission of the publisher. NOVEMBER 2017 3 4 CONTENTS UNIVERSITY VISION, MISSION, OBJECTIVES AND VALUES VISION The vision of Applied Science University is to be one of the leading private universities supporting practical learning and scientific research in Bahrain and the Gulf. MISSION ASU is committed to offering an education that is accessible to academically competent students of Bahrain, the Gulf and beyond, and to deliver academic programmes of quality that graduate students equipped with knowledge and skills relevant locally and regionally. ASU is further dedicated to the promotion of a culture of learning and scientific research for its students, staff and faculty regionally and globally to engage meaningfully with the community at large. OBJECTIVES · To acknowledge social responsibility and to serve the local and regional community. · To enhance a superior scientific research standard in all fields of knowledge. · To offer new specializations to meet the market demands. · To maintain abreast of scientific development and to provide all the means of academic success. VALUES · Integrity: ASU’s community values honesty, fairness and academic integrity as fundamental to its vision and mission. It recognizes, affirms and upholds this value in a responsible and committed manner. · Collaboration and Team Spirit: ASU’s community recognizes collaboration and team spirit to be at the heart of the institutional culture and to promote these values in a dedicated manner. -
June 2005 a C T S
Issue 2005-2 FACS June 2005 A C T S The Newsletter of the Formal Aspects of Computing Science (FACS) Specialist Group ISSN 0950-1231 FACS FACTS Issue 2005-2 June 2005 About FACS FACTS FACS FACTS [ISSN: 0950-1231] is the newsletter of the BCS Specialist Group on Formal Aspects of Computing Science (FACS). FACS FACTS is distributed in electronic form to all FACS members. As from 2005, FACS FACTS will be published four times a year: March, June, September and December. Submissions are always welcome. Please see the advert on page 23 for further details or visit the newsletter area of the FACS website [http://www.bcs-facs.org/newsletter]. Back issues of FACS FACTS are available to download from: http://www.bcs-facs.org/newsletter/facsfactsarchive.html The FACS FACTS Team Newsletter Editor Paul Boca [[email protected]] Editorial Team Jonathan Bowen, Judith Carlton, John Cooke, Kevin Lano, Mike Stannett Columnists Dines Bjørner (The Railway Domain) Judith Carlton (Puzzles) Contributors to this Issue: Dines Bjørner, Eerke Boiten, Jonathan Bowen, Judith Carlton, Roger Carsley, John Derrick, George Eleftherakis, José Fiadeiro, John Fitzgerald, Carroll Morgan, Fiona Polack, F.X. Reid, Paola Spoletini, Marcel Verhoef, Jim Woodcock 2 FACS FACTS Issue 2005-2 June 2005 Contents Editorial 4 FACS AGM, 27 April, London 5 ZB2005 Conference Report 10 REFINE2005 Conference Report 17 Train Domain Column 19 Blocking Publication: An Adventure in Destructive Refereeing 24 An Example Railway Domain 29 Book Announcements 40 PhD Abstracts 41 Conference Announcements 45 Job Adverts 48 Formal Methods Coffee Time 49 And Finally 52 FACS Committee 53 3 FACS FACTS Issue 2005-2 June 2005 Editorial Jonathan Bowen, BCS-FACS Chair Welcome to another varied FACS FACTS Newsletter, ably compiled by Paul Boca. -
Formal Specification of Scientific Applications Using Interval
5 Formal Specification of Scientific Applications Using Interval Temporal Logic BOJANA KOTESKA and ANASTAS MISHEV, University SS. Cyril and Methodius, Faculty of Computer Science and Engineering, Skopje LJUPCO PEJOV, University SS. Cyril and Methodius, Faculty of Natural Science and Mathematics, Skopje Scientific applications simulate any natural phenomena in different scientific domains. Moreover, the problems they solve are usually represented by mathematical models. Taking that in advance, these problems can be described by using specific formal notation and mathematical formulas. Scientific applications are usually created by the scientists without using any software development engineering practices. Our main goal is to include formal methods in the testing process of scientific applications. In this paper, we adapt Interval Temporal Logic (ITL) as a flexible notation for describing software applications. We use Tempura framework and Ana Tempura tool for specifying the properties of the scientific software system. The correctness of the code is verified by comparing the results from the program output and functions written in Tempura. This process is especially important when some code changes or optimizations are made. To verify this concept we made a formal description of the code for calculating bound states of the Morse oscillator well. Categories and Subject Descriptors: D.2.4 [Software Engineering]: Software/Program Verification —Validation, Formal Meth- ods; G.4 [Mathematics of Computing]: Mathematical Software—Certification and testing, Documentation, Verification General Terms: Verification Additional Key Words and Phrases: Scientific application, Formal Specification, Interval Temporal Logic, Ana Tempura, Morse Oscillator 1. INTRODUCTION Scientific applications are widely used nowadays in different scientific domains. Numerical simulations performed by scientific applications can solve problems in many research fields such as: computational chemistry, physics, engineering, mathematics, mechanics, informatics, bioinformatics, etc. -
Organization and Committees
Committees General Chair Aleksander Spivakovsky, Verkhovna Rada of Ukraine, Kherson State University, Ukraine Steering Committee Vadim Ermolayev, Zaporizhzhya National University, Ukraine Heinrich C. Mayr, Alpen-Adria-Universät Klagenfurt, Austria Mykola Nikitchenko, Taras Shevchenko National University of Kyiv, Ukraine Aleksander Spivakovsky, Verkhovna Rada of Ukraine, Kherson State University, Ukraine Mikhail Zavileysky, DataArt, Russian Federation Grygoriy Zholtkevych, V.N.Karazin Kharkiv National University, Ukraine Program Chairs Nick Bassiliades, Aristotle University of Thessaloniki, Greece Vadim Ermolayev, Zaporizhzhya National University, Ukraine Proceedings Chairs Hans-Georg Fill, Universität Wien, Austria Vitaliy Yakovyna, Lviv Polytechnic National University, Ukraine Presentations Chair Heinrich C. Mayr, Alpen-Adria-Universät Klagenfurt, Austria Workshops Chair Vyacheslav Kharchenko, National Aerospace University “KhAI”, Ukraine Poster and Demo Chair Yaroslav Prytula, Ukrainian Catholic University, Ukraine PhD Symposium Chairs Grygoriy Zholtkevych, V.N. Karazin Kharkiv National University, Ukraine Frédéric Mallet, Université Cote d’Azur, Cnrs, Inria, I3S, France IT Talks Chairs Aleksander Spivakovsky, Verkhovna Rada of Ukraine, Kherson State University, Ukraine Mikhail Zavileysky, DataArt, Russian Federation Local Organization Chairs Anatoly Anisimov (chair), Taras Shevchenko National University of Kyiv, Ukraine Mykola Nikitchenko (chair), Taras Shevchenko National University of Kyiv, Ukraine Volodymyr Shevchenko (vice-chair), -
Research and Creative Achievement Week 2011
East Carolina2011 Universi ty : Research and Creative Achievement Week 2011 East Carolina University Creating a Better Tomorrow 5th Annual Research & Creative Achievement Week Mendenhall Student Center April 4 – 8 2011 1 East Carolina University : Research and Creative Achievement Week 2011 Research and Creative Achievement Week April 4 – 8, 2011 Mendenhall Student Center 2 East Carolina University : Research and Creative Achievement Week 2011 Research and Creative Achievement Week Table of Contents Letter from Vice Chancellor Deirdre M. Mageean…………………………... 4 Program Sponsors……………………………………………………………. 6 Research and Creative Achievement Week Planning Committee…………… 7 Research and Creative Achievement Week Subcommittees………………… 8 Schedule of Events…………………………………………………………… 9 Faculty Recognition: Research and Creative Activity……………………….. 12 Faculty Recognition: Inventor Discovery……………………………………. 17 Lectures and Symposia………………………………………………………. 18 Presentation of Awards………………………………………………………. 29 Index: Judges…………………………………………………………………. 32 Index: Mentors……………………………………………………………….. 34 Oral and Poster Presentation Sessions……………………………………… 38 Graduate Abstracts: Online, Oral, and Poster………………………………... 64 Undergraduate Abstracts: Online, Oral, and Poster………………………….. 174 3 East Carolina University : Research and Creative Achievement Week 2011 Letter from the Vice Chancellor March 2011 Dear ECU Community: The Division of Research and Graduate Studies invites you to participate in the ECU Research and Creative Achievement Week on the campus of East Carolina University. The week of April 4-8, 2011, has been set aside to highlight the extraordinary accomplishments of our students in research and creative activities. Because the number of events has increased, events will also be held the previous week. It is the hope of the organizing committee that you will attend, as much as your time allows, in order to see and hear what our students have achieved. -
Abstract Book RCAW 2015 03 20 Book.Pdf
2015 We would like to give a special thanks to ECU School of Art and Design graphic design undergraduate student Kristen Bitar, for her cover design, poster, and program art. We would also like to recognize Master of Adult Education student Laura Taylor and Doctoral of Physics student Taylor Dement, for their development and managment of the program. 4 2015 | RCAW East Carolina University® Division of Research & March 2015 Graduate Studies Greenville Centre Ste 1500 2200 S. Charles Blvd Greetings! Mailstop 157 Greenville, NC 27858-4353 I am pleased to invite you to participate in the East Carolina University Research and Creative Achievement Week (RCAW). The week of March 23-27, 2015, has been set aside to highlight the extraordinary accomplishments of our students in research and creative activities. It is the hope of the organizing committee Michael R. Van Scott, PhD Institutional Official & Chief that you will attend, as much as your time allows, in order to see and hear what our students have achieved. Research Officer; In addition, we hope that you will strongly encourage your students to attend. The event is sponsored by a Associate Vice Chancellor, Interim 252-328-9471 partnership of these entities: Division of Academic Affairs, Division of Health Sciences, Brody Graduate Student 252-328-2769 fax Association, Graduate and Professional Student Senate, Office of Undergraduate Research, Office of Postdoctoral Affairs, Graduate School, and Division of Research & Graduate Studies. Research and Creative Achievement Week is a showcase of graduate and undergraduate student research and creative activities that are taking place here at ECU. There will be over 375 student presentations, an impressive number that reflects the current growth in research and creative activities at ECU in a variety of fields and disciplines. -
The Developer Factor in Software Privacy
The Developer Factor in Software Privacy Mohammad Tahaei Doctor of Philosophy School of Informatics University of Edinburgh 2021 Abstract Computer programming operates and controls our personal devices, cars, and infrastructures. These programs are written by software developers who use tools, software development platforms, and online resources to build systems used by billions of people. As we move towards societies that rely on computer programs, the need for private and secure systems increases. Developers, the workforce behind the data economy, impact these systems’ privacy, and consequently, the users and society. Therefore, understanding the developer factor in software privacy provides invaluable inputs to software companies, regulators, and tool builders. This thesis includes six research papers that look at the developer factor in software privacy. We find that developers impact software privacy and are also influenced by external entities such as tools, platforms, academia, and regulators. For example, changes in regulations create challenges and hurdles for developers, such as creating privacy policies, managing permissions, and keeping user data private and secure. Developers interactions with tools and software development platforms, shape their understanding of what privacy means, such as consent and access control. Presentation of privacy information and options on platforms also heavily impact developers’ decisions for their users’ privacy, and platforms may sometimes nudge developers into sharing more of their users’ data by using design (dark) patterns. Other places developers learn about privacy include universities, though they may not learn how to include privacy in software. Some organisations are making efforts to champion privacy as a concept inside development teams, and we find that this direction shows promise as it gives developers direct access to a champion who cares about privacy.